Jim Pfaendtner

According to our database, Jim Pfaendtner authored at least 6 papers between 2015 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

SPARC: An Automated Workflow Toolkit for Accelerated Active Learning of Reactive Machine Learning Interatomic Potentials.

Rahul Verma, Nisarg Joshi, Jim Pfaendtner

J. Open Source Softw., May, 2026

2019

Fantastic Liquids and Where To Find Them: Optimizations of Discrete Chemical Space.

Wesley Beckner, Jim Pfaendtner

J. Chem. Inf. Model., 2019

2018

Multimodal Deep Neural Networks using Both Engineered and Learned Representations for Biodegradability Prediction.

Garrett B. Goh, Khushmeen Sakloth, Charles Siegel, Abhinav Vishnu, Jim Pfaendtner

CoRR, 2018

IL-Net: Using Expert Knowledge to Guide the Design of Furcated Neural Networks.

Khushmeen Sakloth, Wesley Beckner, Jim Pfaendtner, Garrett B. Goh

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017

Application of machine learning to pyrolysis reaction networks: Reducing model solution time to enable process optimization.

Blake R. Hough, David A. C. Beck, Daniel T. Schwartz, Jim Pfaendtner

Comput. Chem. Eng., 2017

2015

Probing How Defects in Self-assembled Monolayers Affect Peptide Adsorption with Molecular Simulation.

K. G. Sprenger, Yi He, Jim Pfaendtner

Proceedings of the Molecular Modeling and the Materials Genome: Foundations of Molecular Modeling and Simulation 2015, 2015