AI-enabled lithium carbonate production with integrated CO2 capture, boosting and optimizing sustainable Li-ion battery production.
A comprehensive framework of AIMD simulations and Rietveld refinement data explaining the 3.2-fold enhancement of CO2 adsorption in humid Cs-RHO zeolites.
Data Analysis for my Bachelor Thesis "Dynamical changes of polyethylene imine in porous silica upon CO_2 sorption"
CO₂ACT (CO₂ Amine Calorimetry and Thermodynamics) is a mechanistic modeling framework for simulating aqueous CO₂–amine systems. It predicts pH, solution speciation, and reaction thermodynamics by coupling carbonate chemistry, acid–base equilibria, carbamate formation, and titration or ITC experiments for parameter estimation and analysis.
Random forest prediction of CO2 uptake in 20,000 MOFs at post-combustion conditions from geometric descriptors, with cross-validation and SHAP analysis (ARC-MOF data).
Aspen HYSYS simulation of CO₂ capture using Temperature Swing Adsorption (TSA), comparing PEI-impregnated silica gel and activated carbon.
Two-component non-isothermal adsorption breakthrough simulator. Runs locally, no account, no telemetry.
MATLAB model for continuous TSA-based CO₂ capture from biomass flue gas using Toth isotherms and energy optimization.
Python simulator of adsorption cycles for CO2 direct air capture in 1D and 2D packed beds: steam-assisted TVSA by default, cyclic steady state with KPIs, NSGA-II optimization.
To associate your repository with the co2-capture topic, visit your repo's landing page and select "manage topics."