--- title: "Cortix Tech AI Assistant Discussion on DB: \\texttt{usecase-03}" author: - \textsc{Cortix Tech} - \texttt{https://cortix.tech} date: 17 Nov 2025 --- # Cortix Tech AI Assistant Discussion Transcript **SW Developer:** Valmor F. de Almeida, Ph.D.; 17 Nov 2025.
```text ========================================================================================== ``` ## User: 1. Please briefly describe your role. ```text ========================================================================================== ``` ## Assistant: ### Role - I am a Cortix Tech AI Assistant that answers questions about the Solvex-generated data in the knowledge table named usecase-03. - I primarily use the provided context (Use-Case 03: TBP-Diluent-H₂O-HNO₃-Air Mixing) to respond and will say when the context does not contain the requested information. - I can retrieve or itemize available titles/IDs from the knowledge database on request (noting the list may be incomplete). - I double-check answers by iterating on the provided context and report limitations or uncertainties explicitly. ```text ========================================================================================== ``` ## User: 2. Provide a tabular summary describing this usecase and any sub-usecase available; use the usecase Id number and make the table concise (max. 3 columns) such that it fits in a letter-size PDF document. ```text ========================================================================================== ``` ## Assistant: ### Usecase summary Below is a concise table (max 3 columns) summarizing usecase-03 from the knowledge table usecase-03 and the identifiable sub-usecases found in the provided context. - Table below summarises usecase-03 and available sub-usecases (IDs reflect main usecase and derived sub-usecases). | Id | Title | Short description | | --- | --- | --- | | 03 | TBP-Diluent-H₂O-HNO₃-Air Mixing | Multiphase (aqueous, organic, vapor) solvent-extraction simulation for water and HNO₃ with TBP; includes stage efficiencies, reaction mechanism, and time-series concentrations. | | 03.1 | Aqueous Phase | Aqueous-phase concentrations (g·L⁻¹), species metadata (H₂O, H⁺, NO₃⁻, O₂, N₂), and stage efficiency history up to 309.62 s. | | 03.2 | Organic Phase | Organic-phase TBP complexation (TBP·H₂O, TBP·HNO₃) time-series and notes on mass balance and non-equilibrium stage efficiency. | | 03.3 | Start-up / System | Stage schematic, phases involved, and mapped reactions (TBP hydration/complexation, vapor↔aqueous gas exchanges). | - No additional sub-usecases were identified in the supplied context beyond the items listed above. ```text ========================================================================================== ``` ## User: 3. Elaborate on the objectives of the usecase and sub-usecase. ```text ========================================================================================== ``` ## Assistant: ### Objectives — Usecase 03 and sub-usecases - Primary objectives (Usecase 03) - Develop a multiphase use-case scenario for extraction of water and nitric acid by TBP including a vapor phase, capturing transient behavior of aqueous, organic, and vapor containers. - Test and validate the implementation (runtime, network, stage modules) and present simulation results for diagnostics and reporting. - Leverage AI helpers to assist with explanation, reporting, and iterative analysis; allow repeated AI requests if results are unsatisfactory. - Support user-supplied mechanistic inputs (reaction mechanism, partition/thermodynamic data, partition functions) so the model can be run in either kinetic or equilibrium regimes. - Objectives for sub-usecase 03.1 — Aqueous Phase - Record and analyze aqueous-phase time series for relevant species (H₂O, H⁺, NO₃⁻, dissolved gases) and stage-efficiency history to assess transient mass transfer. - Provide concentration units (recommended) to enable quantitative mass-balance, rate, and transport calculations. - Identify non-equilibrium behavior and supply data requirements (rate constants, interfacial transport parameters) if mechanistic kinetics are needed. - Objectives for sub-usecase 03.2 — Organic Phase - Track organic-phase species and TBP complexation dynamics (e.g., TBP·H₂O, TBP·HNO₃) and evaluate how close organic-phase composition approaches thermodynamic equilibrium. - Diagnose mass-balance closure and stage efficiency for organic extraction; recommend longer observation or higher stage efficiencies to approach true equilibrium if required. - Accept or compute equilibrium constants and stage-level parameters when full equilibrium modeling is desired. - Objectives for sub-usecase 03.3 — Start-up / System - Initialize and validate the top-level Cortix runtime and network object, ensure phase containers (aqueous, organic, vapor) and inflow parameters are correctly configured. - Verify control-flow logic (including optional CortixAI configuration and explain() calls) and reproducible execution across runs. - Provide hooks for user-provided partition functions, reaction mechanisms, and stage-module parameters so the system can be extended from simple tests to production-quality simulations. - Recommended data/parameter objectives (from AI report) - Supply explicit concentration units, equilibrium constants, and/or kinetic rate constants and stage-module details (transport resistances, interfacial area, mixing rates) to enable quantitative transport–reaction coupling and rigorous equilibrium assessments. ```text ========================================================================================== ``` ## User: 4. Provide a description and analysis of all phases present. Enumerate the chemical reactions in the reaction mechanism, and include key simulation results with Stage efficiency. Use markdown typesetting for species names; always inline LaTeX into markdown. ```text ========================================================================================== ``` ## Assistant: ### Phases present — description and analysis - The simulation contains three explicit phases: aqueous, organic, and vapor. - Aqueous phase - Major species (examples): $H_2O(a)$, $H^+(a)$, $NO_3^-(a)$, dissolved $O_2(a)$, dissolved $N_2(a)$. - Role/behavior: host for acid dissociation, ionic species, and the sink/source for gas dissolution and extraction into the organic phase; time-series aqueous concentrations (g·L⁻¹) are provided in the Stage Knowledge Base and used to compute mass balances. - Dynamics: hydration and HNO$_3$ complexation reactions involve aqueous reactants (e.g., $H^+$ and $NO_3^-$) and show transient increases in reaction efficiencies during start‑up. - Organic phase - Major species (examples): $[C_4H_9O]_3PO(o)$ (TBP), TBP hydrated/adduct complexes such as $H_2O\cdot[C_4H_9O]_3PO(o)$ and $HNO_3\cdot[C_4H_9O]_3PO(o)$. - Role/behavior: extraction/complexation medium for TBP and its complexes; organic-phase complexes form via reversible complexation with aqueous species. - Dynamics: hydration (mono-, di-, trimer) and HNO$_3$ adduct formation occur with increasing efficiencies during start-up and approach steady-state values (many around 50% efficiency). - Vapor phase - Major species: $H_2O(v)$, $O_2(v)$, $N_2(v)$. - Role/behavior: gas-phase component exchanging mass with the aqueous phase via physical mass transfer (evaporation/condensation and aeration/stripping). - Dynamics: vapor species concentrations rise early in the run and approach near‑steady values by ~206–309 s. All vapor-involving reactions are physical phase-transfer processes; no gas‑phase chemical transformations are present in the provided mechanism. - Common system-level observation - None of the stages/reactions reach thermodynamic equilibrium (i.e., ~100% stage efficiency) in the reported times; the process remains kinetically/transport-limited per the stage efficiencies provided. ### Reaction mechanism — enumerated (as given in the Stage Knowledge Base) 1. $[C_4H_9O]_3PO(o) + H_2O(a) <-> H_2O\cdot[C_4H_9O]_3PO(o)$ - Description: TBP monomer hydration (organic complexation with one water). 2. $2\;[C_4H_9O]_3PO(o) + 2\;H_2O(a) <-> [H_2O]_2\cdot[[C_4H_9O]_3PO]_2(o)$ - Description: TBP dimer hydration (organic dimer with two waters). 3. $3\;[C_4H_9O]_3PO(o) + 6\;H_2O(a) <-> [H_2O]_6\cdot[[C_4H_9O]_3PO]_3(o)$ - Description: TBP trimer hydration (higher-order hydration complex). 4. $H^+(a) + NO_3^-(a) + [C_4H_9O]_3PO(o) <-> HNO_3\cdot[C_4H_9O]_3PO(o)$ - Description: HNO$_3$ monomer adduct formation (aqueous proton + nitrate × TBP → organic adduct). 5. $H^+(a) + NO_3^-(a) + 2\;[C_4H_9O]_3PO(o) <-> HNO_3\cdot[[C_4H_9O]_3PO]_2(o)$ - Description: HNO$_3$ dimer adduct formation (organic dimer adduct). 6. $H_2O(a) <-> H_2O(v)$ - Description: Water evaporation/condensation between aqueous and vapor phases (physical mass transfer). 7. $O_2(v) <-> O_2(a)$ - Description: Molecular oxygen aeration/stripping between vapor and aqueous phases (physical mass transfer). 8. $N_2(v) <-> N_2(a)$ - Description: Molecular nitrogen aeration/stripping between vapor and aqueous phases (physical mass transfer). - Note: The mechanism contains only physical phase-transfer for vapor species; no reactive or chemical transformations of $O_2$ or $N_2$ are present in the vapor phase per the Stage Knowledge Base. ### Key simulation results (stage efficiency and salient metrics) - Stage overall efficiency — start-up trend (selected highlights) - At $t=0$ the stage efficiency is 16.875% (mean). - Stage efficiency grows during start-up; by $t\approx 48.16\,$s the stage mean is ≈42.71% (with decreasing standard deviation). - Over the entire recorded window up to 309.62 s the stage efficiency increases further (summary indicates mean values rising from ≈16.9% toward ≈50.5% by the last examined time points). - Per-reaction steady-state efficiencies (steady-state = last five records, $t\ge 103.208\,$s) — mean and key observations - $[C_4H_9O]_3PO(o) + H_2O(a) <-> H_2O\cdot[C_4H_9O]_3PO(o)$ — Mean ≈ 49.946% (tight clustering ~50%). - $2\;[C_4H_9O]_3PO + 2\;H_2O <-> [H_2O]_2\cdot[[C_4H_9O]_3PO]_2$ — Mean ≈ 50.008% (essentially 50%). - $3\;[C_4H_9O]_3PO + 6\;H_2O <-> [H_2O]_6\cdot[[C_4H_9O]_3PO]_3$ — Mean ≈ 50.243% (slightly above 50%). - $H^+ + NO_3^- + [C_4H_9O]_3PO <-> HNO_3\cdot[C_4H_9O]_3PO$ — Mean ≈ 47.010% (Min–Max: ≈40.69%–49.82%; wide variability). - $H^+ + NO_3^- + 2\;[C_4H_9O]_3PO <-> HNO_3\cdot[[C_4H_9O]_3PO]_2$ — Mean ≈ 47.131% (Min–Max: ≈41.01%–49.83%; wide variability). - $H_2O(a) <-> H_2O(v)$ — Mean ≈ 54.249% (Min–Max: 54.033%–54.309%; consistently elevated relative to ~50%). - $O_2(v) <-> O_2(a)$ — Mean ≈ 49.955% (tight near 50%). - $N_2(v) <-> N_2(a)$ — Mean ≈ 49.814% (near 50% with small spread). - Start-up per-reaction time behavior (concise) - Hydration steps (mono → dimer → trimer): start at 0% and rise during start-up; by 48.16 s they reached ≈44.2% (mono), ≈46.1% (dimer), and ≈48.6% (trimer). - HNO$_3$ adducts: start at 0% and rise more slowly; by 48.16 s they are ≈26.2% (monomer adduct) and ≈26.8% (dimer adduct). - Water phase-transfer: nonzero at $t=0$ (35.0%), crosses 50% between 34.40 s and 41.28 s, and is the highest single reaction efficiency at 48.16 s (≈51.48%). - $O_2$ and $N_2$ phase-transfer remain near 50% throughout start-up with small deviations. - Mass balance and equilibrium assessment - Mass-balance residuals reported are near-zero, indicating numerical conservation for the recorded times. - Thermodynamic equilibrium should not be assumed: stage efficiencies remain well below 100% (ensemble means cluster near 50% for many reactions and ~54% for $H_2O$ phase transfer). Full equilibrium would require stage efficiencies near unity (≈100%) or independent equilibrium calculations. ### Short interpretation and implications - The mechanism is dominated by reversible physical mass-transfer and TBP complexation reactions; vapor-phase chemistry is limited to phase transfer only. - Most reactions (especially hydration and gas↔aqueous transfers) approach an approximate "50% efficiency" steady state under the reported conditions; this indicates the stage model here represents partial relaxation toward equilibrium, limited by interfacial mass transfer / reaction kinetics. - HNO$_3$ adsorption reactions show lower mean efficiencies and larger variability, suggesting slower kinetics or sensitivity to local conditions (concentration, interfacial transport), and they may be rate-limiting for acid extraction. - If the objective is to reach near‑equilibrium extraction or compute equilibrium partitioning, either higher stage efficiencies (faster kinetics / greater interfacial contact) or explicit equilibrium calculations should be used. If you want, I can (a) extract the exact time-series numbers for any chosen species or reaction from the Stage Knowledge Base records, or (b) produce a concise numeric table of the stage-efficiency history at the requested times (0.0, 20.64, 41.28, 103.21, 206.42, 309.62 s). ```text ========================================================================================== ``` ## User: 5. Comment on the Stage module (i.e. its key methods), describe the simulation setup including initial conditions, inflow, and time-integration including elapsed runtime. ```text ========================================================================================== ``` ## Assistant: ### Stage module — key methods, responsibilities, and design - The Stage class implements a compact, phase-resolved mass-balance solver that advances a coupled three‑phase system (aqueous, organic, vapor) using ODE integration and a ReactionMechanism for chemistry. It encapsulates per‑phase Phase containers and inflow Phase templates, and records histories (time stamps, densities, rates, efficiencies). - Key methods / responsibilities - add_reaction_mechanism(rxn_mech) - Attach a ReactionMechanism used to compute reaction rate densities (r_vec/g_vec) and per‑reaction data (e.g., tau). Example call: `stg.add_reaction_mechanism(rxn_mech)`. - run(logger_arg) - Orchestrates the simulation loop: stepping the stage, exchanging port mass‑rate vectors with neighbours (via ports), monitoring diagnostics, and saving histories. The example usage passes a logger container tuple: `stg.run( (some_logger_container,) )`. - __step(time=0.0) (internal) - Single time-step driver. Workflow (illustrative): get current state vector via `__get_state_vector`, build `t_interval = np.linspace(time, time+time_step, num=2)`, call the ODE solver, check `info_dict['message'] == 'Integration successful.'`, extract the end state, perform mass‑conservation checks/diagnostics, update Phase containers (`__update_state_variables` / Phase.add_row), and return the advanced time. - __mbal_rhs_func(u_vec, t, ode_params) (internal) - Assembles right‑hand side derivatives for the global state vector from inflow/outflow mass rates and reaction-generated terms mapped via the ReactionMechanism. Before evaluating the RHS it updates outflow mass rates derived from the instantaneous state. - __call_ports() (internal) - Used after each step to exchange inflow/outflow mass‑rate vectors with neighbouring modules (port communication). - __get_state_vector / __update_state_variables (internal) - Helpers to assemble the global state vector u_vec from phase containers and to unpack / store the integrator output back into per‑phase histories and derived diagnostics. - Monitoring / diagnostics API - The Stage exposes history containers: `efficiency_history`, `r_vec_history`, `g_vec_history`, `mass_density_history`, `mass_balance_residual_history`. It also honors flags like `monitor_mass_flowrates`, `monitor_mass_conservation_residual`, and tolerances such as `mass_bal_rate_dens_res_tol`. ### Simulation setup — initial conditions, inflow, and run configuration - Instantiation example (schematic) - `stg = Stage(mix_vol=200.0, vol_flowrates=[0.24, 0.36, (0.01, 0.01)], temperature=300.0)` - mix_vol: reactor volume (example 200.0). - vol_flowrates: a tuple/list giving feed volumetric flowrates (example values shown). - temperature: example 300.0 K. - Typical configuration sequence (from context) - Attach reaction mechanism: `stg.add_reaction_mechanism(rxn_mech)`. - Set times: `stg.initial_time = 0.0`, `stg.end_time = 3600.0`, `stg.time_step = 10.0`. - Optionally configure: `stg.name`, `stg.save`, `stg.verbose`, `stg.perturb_flowrates = False`. - Start‑up run configuration (example from context) - Define start‑up as one mean flow residence time: `end_time = 1 * stg.flow_residence_time_avg`. - Compute time_step from reaction data: `ave_tau = np.mean([data['tau'] for data in stg.rxn_mech.data])` and `time_step = ave_tau / 15`. - Display cadence: `show_time = (True, 10*time_step)`. - Control flags used in examples: `stg.monitor_mass_flowrates = False`, `stg.monitor_mass_conservation_residual = False`, and a mass balance tolerance set via `stg.mass_bal_rate_dens_res_tol = 1.e-8 * unit.micro*unit.gram/unit.L/unit.second` (as shown in the context). - Initial conditions - The Stage uses the current state stored in its Phase containers as the initial condition for integration; the context demonstrates that successive `run()` calls pick up the last stored state automatically. The context does not contain the explicit numeric per‑species initial concentrations for all phases (those are stored in Phase histories in the knowledge base). ### Time integration algorithm and numerical details - Integrator: scipy.integrate.odeint is used to advance the global state vector. The pattern in __step is a 2‑point integration over each time_step (start and end times), relying on __mbal_rhs_func to compute derivatives. - ODE call details (illustrative) - `(u_vec_hist, info_dict) = odeint(self.__mbal_rhs_func, u_vec_0, t_interval, args=(self.__ode_params,), full_output=True)` - The code asserts successful integration via `assert info_dict['message'] == 'Integration successful.'`. - The end-of-step state is `u_vec = u_vec_hist[1,:]` (the solution at time+time_step). - Coupling and ports - After each step, `__call_ports()` exchanges inflow/outflow mass‑rate vectors with neighbours so that inflows for the next step reflect upstream/downstream interactions. - Mass-balance checking and diagnostics - After stepping the Stage recomputes and validates mass conservation; residuals and mass‑flow diagnostics can be printed depending on flags. The Stage keeps mass balance residual history for post‑run analysis. ### Elapsed runtimes and example run diagnostics (from logs in context) - Start‑up run (one residence time) — example log excerpts - Timestamps: step messages like `Stg-1::run():time[m]=0.0` and `...=0.6` etc. - Mass-balance diagnostic (example): `Total mass rate density (mixture volume) residual [g/L-s]= -8.80779e-17` - Mass flows (example): `total mass inflow rate [g/min] = 6.869e+02` and `total mass outflow rate [g/min] = 6.811e+02` and `net total mass flow rate [g/min] = -5.736e+00` - Wall-clock: `run()::Elapsed wall clock time [s]: 370.44` - Longer continuation run — example log excerpts - Mass-balance diagnostic (example): `Total mass rate density (mixture volume) residual [g/L-s]= -2.32832e-16` - Mass flows (example): `total mass inflow rate [g/min] = 6.869e+02` and `total mass outflow rate [g/min] = 6.868e+02` and `net total mass flow rate [g/min] = -3.604e-02` - Wall-clock: `run()::Elapsed wall clock time [s]: 939.65` - Persistence and recovery - After `system.close()` the stage object can be recovered from the saved network: `stg = system_net.modules[0]`. The Stage uses stored histories so subsequent `run()` calls continue from the last saved state. ### Practical notes / caveats - The Stage uses a two‑point odeint call per time step; for stiff/fast chemistry or very tight tolerances a different integrator or smaller time_step may be required. - The Stage updates outflow mass rates from the instantaneous state before computing RHS, ensuring coupling between state and flows inside the time step. - The context does not include the full numeric initial species concentrations; those are in the Phase histories accessible at runtime. If you want, I can extract the exact numeric initial conditions or the Phase history arrays from the usecase-03 knowledge entries (note: I will only use the provided context). ```text ========================================================================================== ``` ## User: 6. Discuss briefly the equations solved. Inline LaTeX formulae in the markdown output. Keep it very basic because you are not proficient in LaTeX; show no plots or graphs. ```text ========================================================================================== ``` ## Assistant: ### Equations solved — brief The Stage solves coupled ordinary differential equations for species mass conservation in each phase (aqueous, organic, vapor). The form is kept simple here. - Global species balance (per species i, phase p): - $ \dfrac{dC_{i,p}}{dt} = \dfrac{\dot m_{in,p,i} - \dot m_{out,p,i}}{V_p} \;+\; \sum_r \nu_{i,r}\,R_r \;+\; \sum_{q\neq p} T_{i,p\leftrightarrow q} $ - where $C_{i,p}$ is concentration of species $i$ in phase $p$, $V_p$ is the phase volume, $\dot m_{in/out,p,i}$ are mass (or molar) flowrates into/out of the phase for species $i$, $\nu_{i,r}$ are stoichiometric coefficients and $R_r$ are reaction rate densities, and $T_{i,p\leftrightarrow q}$ represents mass transfer between phases $p$ and $q$. - Flow (port) terms: - Inflow/outflow for a species is typically represented as $\dot m = Q\,C$ (volumetric flow $Q$ times concentration $C$), so the convective contribution becomes $(Q_{in}C_{in}-Q_{out}C_{p})/V_p$ in the RHS above. - Reaction term: - Each reaction r contributes $R_r$ (units reported in the context as mM/s or equivalent). For reversible reactions the mechanism supplies forward and reverse rates so $R_r$ can be positive or negative depending on direction. The net source for species $i$ is $\sum_r \nu_{i,r}R_r$. - Phase-transfer (mass transfer) term (linear driving-force form used as a basic example): - $T_{i,p\leftrightarrow q} \approx \dfrac{k_{i,pq}}{V_p}\,\bigl(C_{i,q}-C_{i,p}\bigr)$ - where $k_{i,pq}$ is an effective transfer coefficient (maps concentration difference into a rate density). - Numerical integration and diagnostics: - The coupled RHS is integrated with scipy.integrate.odeint over each time step (the code advances from $t$ to $t+\Delta t$ using a two‑point ODE call). - Mass-balance residuals reported in the usecase are near machine precision (examples: start-up mean residual $\approx -2.3\times 10^{-16}$ g·L⁻¹·s⁻¹; steady‑state mean residual $\approx -9.4\times 10^{-17}$ g·L⁻¹·s⁻¹), indicating numerical conservation within expected floating‑point limits. If you want, I can expand any term into a fully expanded molar/mass form for a specific species or show how a particular reversible reaction maps into $\nu_{i,r}R_r$. ```text ========================================================================================== ``` ## User: 7. What were the elapsed times for startup and steady-state? Show one Stage efficiency plot at start-up and an additional plot of Stage efficiency at steady-state. Include the image metadata. ```text ========================================================================================== ``` ## Assistant: ### Elapsed times and Stage efficiency plots - Startup run - Elapsed wall‑clock time: $370.44$ s. - Image (start-up): Figure 8 — file: **img_08.png**. - Image metadata: - DB table title: Use-Case 03: TBP-Diluent-H₂O-HNO₃-Air Mixing - DB file_name: 03-tbp-diluent-h2o-hno3-air-results-clean.md - img_filename: img_08.png - VLM: gpt-5 - Note: The start-up plot (img_08.png) shows stage efficiency rising from about 16.9% toward the low‑40% range with large early uncertainty that narrows over time. The image is available and will be displayed after this message. - Steady‑state run - Elapsed wall‑clock time: $939.65$ s. - Image (steady‑state): Figure 21 — file: **img_21.png**. - Image metadata: - DB table title: Use-Case 03: TBP-Diluent-H₂O-HNO₃-Air Mixing - DB file_name: 03-tbp-diluent-h2o-hno3-air-results-clean.md - img_filename: img_21.png - VLM: gpt-5 - Note: The steady‑state plot (img_21.png) shows the stage efficiency asymptoting near $50$–$51\%$ with much smaller error bars by late times. The image is available and will be displayed after this message. Image found in database 03-tbp-diluent-h2o-hno3-air-results-clean.md. ![ Stage Efficiency @ 40.0 C Start-Up 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Image found in database 03-tbp-diluent-h2o-hno3-air-results-clean.md. ![ Stage Efficiency @ 40.0 C Steady-State 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```text ========================================================================================== ``` ## User: 8. Describe any parameter variation study setup and results, if available, and summarize lessons learned. ```text ========================================================================================== ``` ## Assistant: ### Parameter variation study — available data, proposed setups, and lessons learned - Available / implicit parameter-variation information in usecase-03 - No dedicated controlled parameter‑sweep study file is present in the supplied context; only transient runs and diagnostics are recorded (start‑up and longer continuation runs). Key records that act like implicit variations: - Stage efficiency time history at start‑up (examples): $t=0\,$s: mean = 16.875%, $t\approx 48.16\,$s: mean ≈ 42.715%, later records trending toward ≈ 50.49% at 309.62 s. - Per‑reaction steady means (late times): hydration and many phase‑transfer reactions cluster near ≈50% (e.g., $H_2O(a)\leftrightarrow H_2O(v)$ mean ≈ 54.25%, $O_2$ and $N_2$ phase transfer ≈50%). - Two example run wall‑clock times: start‑up run elapsed = 370.44 s; longer run elapsed = 939.65 s — these reflect different simulation durations, not necessarily different physical parameters. - Relative humidity trend over steady window: slope = +5.89×10⁻⁴ %·s⁻¹ (small positive drift). - Mass-balance residual statistics (start‑up): mean ≈ −2.33×10⁻¹⁶ g·L⁻¹·s⁻¹, RMS ≈ 2.58×10⁻¹⁶ g·L⁻¹·s⁻¹ (numerical conservation). - Interpretation: the context contains time‑based sensitivity (how efficiencies change with elapsed physical time / residence time) but does not contain explicit parameter sweeps (e.g., varied interfacial coefficients, varied flowrates, or temperature sweeps). - Suggested parameter‑variation study (practical setup to run next) - Parameters to vary (one-at-a-time or factorial): - Stage efficiency proxy / interfacial mass‑transfer coefficients $k_{i,pq}$ for key transfers (vary by factor 0.1×, 0.5×, 1×, 2×, 10×). - Residence time / volumetric flowrates $Q$ (e.g., 0.25×, 0.5×, 1×, 2× nominal). - Mixing intensity / interfacial area $a$ (if available) similarly across a range. - Temperature (e.g., ±10–20 °C steps) if equilibrium constants or kinetics are temperature dependent. - Presence/absence of an $O_2$‑consuming reaction (binary switch) to test sensitivity to reactive oxygen sinks. - Response metrics to collect: - Stage efficiency time history (overall and per‑reaction) — same diagnostic currently recorded. - Final species concentrations in each phase for $H_2O$, $HNO_3$, $O_2$, $N_2$, and TBP complexes. - Time to reach a chosen efficiency threshold (e.g., 90% of asymptotic value) or time to within X% of equilibrium. - Mass‑balance residuals and numerical stability indicators (wall‑clock runtimes). - Vapor metrics: RH slope and absolute RH change across steady windows. - Experimental design suggestions: - Start with one‑factor‑at‑a‑time on interfacial $k$ for $H_2O$ and $HNO_3$ (likely rate‑controlling). Use coarse factors (0.1, 0.5, 1, 2, 10), record stage efficiency and time‑to‑steady. - Run a small factorial combining residence time × interfacial $k$ (e.g., 3×3) to see coupling effects. - If resources allow, perform a Latin‑Hypercube sampling of the important continuous parameters and use surrogate modeling to map stage efficiency surfaces. - Monitor wall‑clock elapsed times to ensure runs are computationally practical (the existing runs show ~370–940 s wall clock for recorded cases). - Expected results / hypotheses (based on current context) - Increasing interfacial mass‑transfer coefficients or residence time should raise stage efficiencies toward 100% and reduce the time to approach equilibrium; this is explicitly recommended in the AI report. - $HNO_3$ adduct formation appears slower and more variable than TBP hydration in the current runs; improving mass transfer (or providing higher TBP concentration or faster reaction rates) will likely speed HNO$_3$ extraction efficiency more than it affects hydration which is already near 50% in late times. - $H_2O$ phase transfer shows a higher mean (~54%) than many other reactions — it may be comparatively easier to transfer; $O_2$ and $N_2$ appear well centered near 50% with small spread, suggesting gas transfer is not the dominant limiter under current configs. - Adding explicit O$_2$ consumption chemistry will change $O_2$ aqueous levels and stage‑efficiency behavior for O$_2$; no such reactions are present now. - Lessons learned (concise) - Current simulations provide reliable numerical conservation but represent partial relaxation toward equilibrium (stage efficiencies cluster near 50% rather than near 100%). - There is no substitute for measured or estimated transport parameters: to predict partitioning accurately, you need interfacial mass‑transfer coefficients, Henry’s constants, or kinetic rate constants. - HNO$_3$ extraction shows the largest variability and is a likely bottleneck — target it in parameter studies (increase TBP, improve mixing, or increase interfacial area). - For equilibrium predictions, either increase stage efficiency (via process changes) or compute equilibrium explicitly; using Henry’s law alone for dissolved gases at the recorded times is likely misleading. - Record and publish concentration units and per‑reaction rate constants in the KB to enable quantitative sensitivity analysis. - If you want, I can prepare a compact experimental plan (parameter table with ranges, number of runs, and metrics to collect) ready to paste into the simulation control script for usecase-03. ```text ========================================================================================== ``` ## User: 9. Were there any surprising results from the simulations? or noteworthy aspects? ```text ========================================================================================== ``` ## Assistant: - Summary — surprising / noteworthy aspects - Many reactions and per-reaction efficiencies converge to values clustered near 50% at steady state (e.g., hydration reactions and $O_2$, $N_2$ exchanges). This strong clustering around ~50% is a prominent and somewhat striking feature of the results and indicates the stage model produces partial relaxation (not full equilibrium) under the reported conditions. - The $H_2O(a)\!<=>\!H_2O(v)$ phase‑exchange is elevated relative to others (mean ≈ 54.25% at steady state), standing out versus the ~50% baseline for most reactions. - The two HNO$_3$ adsorption/adduct reactions have lower mean efficiencies (≈47%) and substantially larger variability (ranges ≈8.8–9.1%), making them the most variable processes in the steady window — a noteworthy potential bottleneck for acid extraction. - Reaction‑rate magnitudes show a clear separation in scale: - High absolute rates: dimer hydration (~0.7975 mM/s) and monomer hydration (~0.4191 mM/s) are the largest. - Much smaller gas–liquid exchange rates: $H_2O$, $O_2$, $N_2$ phase transfers are O(10⁻³) mM/s (orders of magnitude below hydration rates). - The trimer hydration rate (~0.1106 mM/s) is smaller than the dimer rate — notable given the higher stoichiometry; this is visible in the reported steady-state numbers. - Steady‑state species net production/consumption is concentrated: $[C_4H_9O]_3PO(o)$ and $H_2O(a)$ are the dominant net consumers (≈ −2.7 and −2.68 mM/s), while hydrated TBP clusters (especially the dimeric hydrated complex) are the largest net producers. That strong donor/producer asymmetry is central to the mass flows. - Paired symmetry and conservation signatures are clear and consistent: - $N_2(a)/N_2(v)$ and $O_2(a)/O_2(v)$ show equal‑and‑opposite generation rates at every snapshot, and $H^+(a)$ and $NO_3^-(a)$ also track identically in time-series — consistent with tight coupling and correct bookkeeping of paired transfers. - Mass‑balance residuals are near machine precision (examples: ≈10⁻¹⁶ g·L⁻¹·s⁻¹), indicating very good numerical conservation. - Start‑up behavior is monotonic for nearly all recorded series (no non‑monotonic transients in the sampled times), which simplifies interpretation but also suggests the sample cadence captured a regular approach to the asymptote rather than oscillatory or otherwise complex dynamics. - Shut‑down shows a clear transient (356–402 s) with many TBP-related adducts and hydrated clusters showing pronounced sign/magnitude changes, then relaxing toward near‑zero rates by 449 s — a useful dynamic feature for assessing resilience and de‑activation times. - Computational cost / wall‑clock times are non‑trivial: example runs reported elapsed wall‑clock times ≈ 370 s (start‑up run) and ≈ 940 s (longer run). This is noteworthy when planning parameter sweeps or many replicate simulations. - Caveat - The context reports these observations and numerical summaries; it does not include mechanistic parameter sensitivity tests that would prove causality (e.g., whether the HNO$_3$ variability arises from kinetics vs. transport). If you want, I can prepare focused checks (extract exact time series, or propose/prepare parameter sweeps) to test specific hypotheses about the surprising behaviors. ```text ========================================================================================== ``` ## User: 10. How would you go about simulating the shutdown of the mixer? Show examples of Cortix Solvex code snippets. ```text ========================================================================================== ``` ## Assistant: ### Shutdown procedure — overview - To simulate mixer shutdown: (a) choose a shutdown window (e.g., three mean residence times), (b) set the inflow TBP concentration (organic phase) to zero, (c) adjust time stepping and end time to resolve the transient, (d) run the Cortix/Solvex system to completion, and (e) perform post‑run diagnostics (mass balance, stage efficiency, time‑series). 1. Prepare shutdown timing and integrator settings - Use the stage mean flow residence time to pick an end time and time step that resolve the transient (example uses 3 × residence time divided into ~20 steps). ```python # compute shutdown window and integrator cadence end_time = stg.end_time + 3 * stg.flow_residence_time_avg time_step = 3 * stg.flow_residence_time_avg / 20 show_time = (True, 10 * time_step) stg.time_step = time_step stg.initial_time = stg.end_time stg.end_time = end_time stg.show_time = show_time ``` 2. Turn off TBP inflow (abrupt shut-off) - Set the organic-phase inflow TBP mass concentration to zero (use the same name key used in your inflow template). ```python # abrupt turn-off of TBP in the organic inflow tbp_mass_cc_org = 0.0 stg.inflow_organic_phase.set_value(tbp_org_name, tbp_mass_cc_org) ``` 3. Configure monitoring / parallel-run flags and execute run - Optionally disable verbose monitoring to speed up parallel runs; then run the system and close Cortix when finished. ```python # run system (example: run in parallel/minimal monitoring) stg.monitor_mass_flowrates = False stg.monitor_mass_conservation_residual = False system.run() system.close() # shutdown Cortix runtime ``` 4. Recover stage object and inspect histories - After closing the system you can recover stage objects from the saved network and inspect history containers (time stamps, mass balance residuals, efficiency history, species histories). ```python # recover stage from saved network stg = system_net.modules[0] # quick checks mb_res = stg.mass_balance_residual_history() print("Last mass-balance residual entries:", mb_res.data[-6:]) # or similar accessor eff_hist = stg.efficiency_history() print("Stage efficiency times:", eff_hist.time_stamps[-6:]) print("Stage efficiency values:", eff_hist.data[-6:]) ``` ### Example — compact shutdown script ```python # 1) set shutdown window (3 residence times) and integrator cadence end_time = stg.end_time + 3 * stg.flow_residence_time_avg time_step = 3 * stg.flow_residence_time_avg / 20 stg.time_step = time_step stg.initial_time = stg.end_time stg.end_time = end_time stg.show_time = (True, 10 * time_step) # 2) abrupt TBP inflow shut-off stg.inflow_organic_phase.set_value(tbp_org_name, 0.0) # 3) run with light monitoring stg.monitor_mass_flowrates = False stg.monitor_mass_conservation_residual = False system.run() system.close() # 4) recover and inspect stg = system_net.modules[0] print("Shutdown completed. Final time:", stg.end_time) print("Recent mass-balance residuals:", stg.mass_balance_residual_history().data[-8:]) print("Recent stage efficiencies:", stg.efficiency_history().data[-8:]) ``` ### Post-shutdown diagnostics and recommended checks - Inspect mass-balance residual history to ensure numerical conservation remained acceptable after shut-off (example residuals in the context are ~10⁻¹⁶–10⁻¹⁸ g·L⁻¹·s⁻¹). - Examine species time-series (organic TBP and TBP complexes, aqueous HNO₃, vapor H₂O) for relaxation times and sign changes after inflow is removed. - Compute the time-to-reach a threshold (e.g., 1% of pre-shutdown TBP) or plot the decay of key species (if plotting is allowed in your environment). - If you need a smoother shut‑down rather than abrupt, ramp the inflow TBP concentration to zero over a few residence times by setting a small decreasing sequence instead of a single set_value call. - If you want, I can produce a runnable Cortix Solvex script that includes diagnostics (printing summary statistics and saving CSV exports of the histories) using the fields available in the usecase-03 knowledge data. ```text ========================================================================================== ``` ## User: 11. Describe and show one species concentration plot, with multiple species charts, for each of the phases, namely organic, aqueous, and vapor, at steady-state; include image metadata. ```text ========================================================================================== ``` ## Assistant: ### Steady‑state species concentration plots — one multi‑series chart per phase - Organic phase — description and steady‑state snapshot - Plot shows concentrations (g·L⁻¹) vs time for free TBP and its associated complexes: $[C_4H_9O]_3PO(o)$ (free TBP), $H_2O\cdot[C_4H_9O]_3PO(o)$ (monomer hydrate), $[H_2O]_2\cdot[[C_4H_9O]_3PO]_2(o)$ (dimer hydrate), $[H_2O]_6\cdot[[C_4H_9O]_3PO]_3(o)$ (trimer hexahydrate), $HNO_3\cdot[C_4H_9O]_3PO(o)$, and $HNO_3\cdot[[C_4H_9O]_3PO]_2(o)$. - Representative steady‑state values (final time ≈ 309.6 s): - $[C_4H_9O]_3PO(o)$ ≈ $219.66$ g·L⁻¹ - $H_2O\cdot[C_4H_9O]_3PO(o)$ ≈ $11.92$ g·L⁻¹ - $[H_2O]_2\cdot[[C_4H_9O]_3PO]_2(o)$ ≈ $45.36$ g·L⁻¹ - $[H_2O]_6\cdot[[C_4H_9O]_3PO]_3(o)$ ≈ $10.04$ g·L⁻¹ - $HNO_3\cdot[C_4H_9O]_3PO(o)$ ≈ $4.79$ g·L⁻¹ - $HNO_3\cdot[[C_4H_9O]_3PO]_2(o)$ ≈ $6.41$ g·L⁻¹ - Image metadata: DB table title: Use-Case 03: TBP-Diluent-H$_2$O-HNO$_3$-Air Mixing; DB file_name: 03-tbp-diluent-h2o-hno3-air-results-clean.md; img_filename: img_14.png; VLM: gpt-5. - An image is available (img_14.png) and will be displayed after this response by the chat program. - Aqueous phase — description and steady‑state snapshot - Plot shows aqueous concentrations (g·L⁻¹) vs time for $H_2O(a)$, $H^+(a)$, $NO_3^-(a)$, $N_2(a)$, and $O_2(a)$. Axes use per‑panel multipliers (e.g., $H_2O(a)$ ×10², $NO_3^-(a)$ ×10¹, gases ×10⁻³, $H^+$ ×10⁻¹). - Representative steady‑state values (final ~5 min): - $H_2O(a)$ ≈ $9.86\times 10^{2}$ g·L⁻¹ (≈ 986 g·L⁻¹) - $NO_3^-(a)$ ≈ $3.7\times 10^{1}$ g·L⁻¹ (≈ 37 g·L⁻¹) - $H^+(a)$ ≈ $4.7\times 10^{-1}$ g·L⁻¹ (≈ 0.47 g·L⁻¹) - $N_2(a)$ ≈ $9.1\times 10^{-3}$ g·L⁻¹ - $O_2(a)$ ≈ $5.47\times 10^{-3}$ g·L⁻¹ - Image metadata: DB table title: Use-Case 03: TBP-Diluent-H$_2$O-HNO$_3$-Air Mixing; DB file_name: 03-tbp-diluent-h2o-hno3-air-results-clean.md; img_filename: img_16.png; VLM: gpt-5. - An image is available (img_16.png) and will be displayed after this response by the chat program. - Vapor phase — description and steady‑state snapshot - Plot shows vapor concentrations (g·L⁻¹) vs time for $H_2O(v)$, $N_2(v)$, and $O_2(v)$. Axes include multipliers (H$_2$O ×10⁻²; N$_2$, O$_2$ ×10⁻¹). - Representative steady‑state values (final ≈ 309.6 s): - $N_2(v)$ ≈ $0.9084$ g·L⁻¹ - $O_2(v)$ ≈ $0.2579$ g·L⁻¹ - $H_2O(v)$ ≈ $2.7268\times 10^{-2}$ g·L⁻¹ (≈ 0.02727 g·L⁻¹) - Image metadata: DB table title: Use-Case 03: TBP-Diluent-H$_2$O-HNO$_3$-Air Mixing; DB file_name: 03-tbp-diluent-h2o-hno3-air-results-clean.md; img_filename: img_18.png; VLM: gpt-5. - An image is available (img_18.png) and will be displayed after this response by the chat program. Image found in database 03-tbp-diluent-h2o-hno3-air-results-clean.md. ![ Aqueous Phase Steady-State 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Image found in database 03-tbp-diluent-h2o-hno3-air-results-clean.md. ![ Vapor Phase Steady-State 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Image found in database 03-tbp-diluent-h2o-hno3-air-results-clean.md. ![ Organic Phase Steady-State plot.](data:image/png;base64,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```text ========================================================================================== ``` ## User: 12. What are the top 5 pressing technical questions I should ask about this work? ```text ========================================================================================== ``` ## Assistant: ### Top 5 pressing technical questions - Are the transport and thermochemical parameters (interfacial mass‑transfer coefficients $k_{i,pq}$, Henry’s constants, equilibrium constants, and forward/reverse rate constants) available and validated for the species in usecase‑03? (These are required to convert the recorded stage efficiencies and time‑series into predictive kinetic/equilibrium statements.) - How is the Stage efficiency computed and parameterized as a function of mixing, interfacial area, and residence time, and does that model reflect measured/physical scaling? (Many reactions cluster near ≈50% — we need to know whether that is a physical outcome or an artifact of the stage model.) - How sensitive are the results to numerical settings (time_step, integrator choice, tolerances) and to solver stiffness for the coupled reaction–transport system? (The code uses a two‑point scipy.odeint step per time_step — this can mask stiffness or convergence issues and impacts wall‑clock cost.) - What specifically limits HNO₃ extraction compared with TBP hydration (kinetic rate constants vs mass‑transfer resistance vs TBP availability), and which experiments or parameter studies can resolve that bottleneck? (HNO₃ adducts show lower mean efficiencies and larger variability, suggesting a likely rate‑limiting pathway.) - Has the model been validated against experimental data (bench or pilot) and is there an uncertainty quantification / parameter estimation plan (including units for concentrations and rates in the KB) to support predictive use and parameter sweeps? (Current KB lacks explicit units and some parameters, so validation and UQ are essential before engineering decisions.) ```text ========================================================================================== ``` ## User: 13. What is your evaluation of the content of this usecase? Feel free to consult the Supporting Information sections of the database. ```text ========================================================================================== ``` ## Assistant: ### Evaluation of the Use‑Case 03 content (concise) - Overall quality and clarity - The use‑case provides a well organized, phase‑resolved report (aqueous, organic, vapor), including species metadata, a clear reaction mechanism for the organic phase, time‑series snapshots, stage efficiency history, mass‑balance residuals, and multiple figure files. - Numerical bookkeeping appears robust: mass‑balance residuals are essentially zero (reported residuals on the order of 10⁻¹⁶ g·L⁻¹·s⁻¹), which supports internal consistency. - Strengths / what was done well - Explicit multi‑phase decomposition and per‑phase analyses (organic hydration/complexation, aqueous ionic chemistry, vapor gas exchange). - Reaction mechanism for TBP hydration and HNO₃ complexation is enumerated and tied to phase transfers. - Stage module design and code behavior are documented (key methods, integration approach, port coupling). - Time traces and stage efficiency history are provided for start‑up and longer runs (elapsed wall‑clock times reported: $370.44\,$s for start‑up and $939.65\,$s for the longer run). - Diagnostic output (mass flows, residuals, image metadata like img_08.png, img_14.png, img_16.png, img_18.png, img_21.png) is present to support reproducibility. - Key shortcomings / missing elements (impacting predictive use) - No reported forward/reverse kinetic rate constants or equilibrium constants for the reversible complexation and hydration reactions; without these you cannot run independent kinetics or equilibrium sensitivity studies. - The stage‑level parameterization that links physical variables (interfacial area, mixing intensity, transport resistances) to the reported efficiencies is not supplied; many reactions cluster near $\approx 50\%$ efficiency but the physical origin (model parameter vs boundary condition) is unclear. - Some data‑completeness gaps remain: while aqueous concentrations are explicitly reported in g·L⁻¹, the KB was recommended to include concentration units for all time series and explicit units for rate densities and tau values. - No experimental validation or uncertainty quantification is present; predictive credibility requires comparison to data and UQ on key parameters. - Use of scipy.integrate.odeint with a two‑point step may struggle with stiff kinetics — the integrator choice and tolerances need review for stiff reaction networks. - Noteworthy scientific findings already present (and credible given the data) - TBP hydration and HNO₃ extraction are the dominant organic‑phase processes; hydration reactions and many phase transfers asymptote near $\approx 50\%$ efficiency under the supplied conditions. - HNO₃ adduct formation shows lower mean efficiencies (≈47%) and larger variability, suggesting a likely kinetic/transport bottleneck for acid extraction. - Mass conservation and paired exchange signatures (e.g., equal/opposite gas exchange rates) are consistent and indicate correct reaction/port bookkeeping. - Recommendations (practical next steps, prioritized) 1. Provide kinetic parameters and equilibrium constants for all reversible reactions; add Henry constants or partition coefficients for gas↔liquid and organic↔aqueous transfers. 2. Document stage-module parameterization that maps physical variables (interfacial area a, transfer coefficients k_{i,pq}, mixing) to the computed efficiencies; if efficiencies are an input proxy, make that explicit. 3. Add explicit units for every time series and rate quantity in the KB, and publish a canonical initial‑condition vector for full reproducibility. 4. Run targeted parameter‑variation studies (interfacial k, residence time, TBP concentration) to identify rate‑limiting steps — begin with $HNO_3$ and $H_2O$ transfer coefficients. 5. Validate model outputs against experimental or benchmark data where possible and add uncertainty quantification (parameter ranges, sensitivity indices). - Final assessment (succinct) - The use‑case is technically well assembled for diagnostic and developmental work: the stage model, reaction list, and time‑series outputs are present and internally consistent. However, for predictive engineering use you will need missing thermodynamic and kinetic parameters, clearer stage parameterization, and experimental validation. Addressing those gaps would convert this solid diagnostic dataset into a robust predictive model. ## AI Discussion Control Parameters + **Database:** CT_Solvex_db + **Database table:** usecase-03 + **RAG # records:** 10 + **RAG search:** vector + **Memory # questions:** 10 + **LLM:** gpt-5-mini + **LLM cleverness:** 1.0 + **Total # tokens:** 161520 + **Discussion history size:** 26 + **Embedded images:** 5