⛰️🌡️ A tool for empirical Arrhenius equation fitting for thermally-induced physicochemical processes
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Updated
Jul 18, 2023 - Python
⛰️🌡️ A tool for empirical Arrhenius equation fitting for thermally-induced physicochemical processes
Physics-based microkinetic and surrogate modeling framework linking periodic DFT energetics to regime-dependent catalytic performance, apparent activation energy, and extrapolation-aware rate control analysis.
Repositorio para los notebooks y scripts usados en el Meetup de Introducción y Conceptos Básicos de Python para Ingenieros Químicos, realizado con Platzi Campus Rep
Bayesian Uncertainty Quantification and Sensitivity Analysis for H₂ + OH → H₂O + H Reaction | 10 kinetic studies (1981-2021) | Python analysis, ML validation | Chemical kinetics | Open Science
Formulation Time Machine is an AI-powered simulation framework designed to predict the lifecycle of complex chemical formulations. By applying first-order kinetics and Arrhenius-based temperature acceleration, the engine forecasts when a product will fail commercial stability standards.
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