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Matthew S Johnson

7PUBLICATIONS

18CO-AUTHORS

Neural networksDeep learningReaction kinetics and dynamicsRadiation and matterChemical and thermal processes in energy and combustion

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Publications (7)

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|May 01, 2026

An interpretable machine learning framework for prediction of adsorption energies and generative design of active sites on arbitrary catalysts.

|Oct 22, 2025

PySIDT: Subgraph Isomorphic Decision Trees for Molecular Property Prediction.

Matthew S Johnson, Hao-Wei Pang, Anna C Doner

|Apr 26, 2024

Diffusion-Limited Kinetics in Reactive Systems.

Matthew S Johnson, Joy N Mueller, Craig Daniels

|Mar 27, 2024

Subgraph Isomorphic Decision Tree to Predict Radical Thermochemistry with Bounded Uncertainty Estimation.

Hao-Wei Pang, Xiaorui Dong, Matthew S Johnson

|Aug 10, 2023

Pynta─An Automated Workflow for Calculation of Surface and Gas-Surface Kinetics.

Matthew S Johnson, Maciej Gierada, Eric D Hermes

|Oct 12, 2022

RMG Database for Chemical Property Prediction.

Matthew S Johnson, Xiaorui Dong, Alon Grinberg Dana

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Frequent Collaborators

4 joint publications

William H Green

4 joint publications

Judit Zádor

3 joint publications

Hao-Wei Pang

2 joint publications

Xiaorui Dong

2 joint publications

Habib N Najm

2 joint publications

Richard H West

1 joint publications

Alon Grinberg Dana

1 joint publications

David Farina

1 joint publications

Ryan J Gillis

1 joint publications

Katrin Blondal

Frequent Collaborators

4 joint publications

William H Green

4 joint publications

Judit Zádor

3 joint publications

Hao-Wei Pang

2 joint publications

Xiaorui Dong

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