Joel Paulson

6PUBLICATIONS
13CO-AUTHORS
Metal organic frameworksStatistical and quantitative geneticsBiomolecular modelling and designElectrical energy generation (incl. renewables, excl. photovoltaics)Computational methods in fluid flow, heat and mass transfer (incl. computational fluid dynamics)
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Publications (6)

|May 17, 2026
Thermodynamics-Informed Machine Learning of Organic Electrode Material Solubility in Nonaqueous Electrolytes.

|Feb 24, 2026
MD-BAX: A general-purpose Bayesian design framework for molecular dynamics simulations with input-dependent noise.

Tianhong Tan, Ting-Yeh Chen, Jacob R Breese

|Jan 19, 2026
Generative Multiobjective Bayesian Optimization with Scalable Batch Evaluations for Sample-Efficient De Novo Molecular Design.

Madhav R Muthyala, Farshud Sorourifar, Tianhong Tan

|Nov 01, 2024
Zero-Shot Discovery of High-Performance, Low-Cost Organic Battery Materials Using Machine Learning.

Jaehyun Park, Farshud Sorourifar, Madhav R Muthyala

|Aug 24, 2023
Understanding Rapid PET Degradation via Reactive Molecular Dynamics Simulation and Kinetic Modeling.

Shuangxiu Max Ma, Changlong Zou, Ting-Yeh Chen

|Feb 01, 2023
Predicting the Solubility of Organic Energy Storage Materials Based on Functional Group Identity and Substitution Pattern.

Madison R Tuttle, Emma M Brackman, Farshud Sorourifar

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Frequent Collaborators

3 joint publications

Shiyu Zhang

2 joint publications

Madhav R Muthyala

2 joint publications

Farshud Sorourifar

1 joint publications

Changlong Zou