General purpose tools for high-throughput catalysis
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Updated
Jun 27, 2024 - Python
General purpose tools for high-throughput catalysis
Automated creation and manipulation of Chemical Reaction Networks (CRNs) in heterogeneous catalysis, allowing the fast estimation of the network energy profile with GAME-Net-UQ, an uncertainty quantification-based DFT-trained graph neural network.
The Meta-Species Oriented Biosystem Syntax in Python (MobsPy) was invented to facilitate the design of complex Chemical Reaction Networks
This repo contains the code for the paper "Data-driven discovery of multiscale chemical reactions governed by the law of mass action"
Network analysis from a list of molecules
Benchmarking Surrogates for coupled ODE systems.
Reaction Pathway Database
Simulates Chemical Reaction System of Partial-Log-Linear Model
a SageMath package to work with sign vector conditions for chemical reaction networks
Some tools for performing Monte Carlo simulations of chemical reaction networks in my research
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