Jonathan P. Mailoa

According to our database, Jonathan P. Mailoa authored at least 7 papers between 2016 and 2023.

Collaborative distances:

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

2023

Multi-Constraint Molecular Generation using Sparsely Labelled Training Data for Localized High-Concentration Electrolyte Diluent Screening.

Jonathan P. Mailoa, Xin Li, Jiezhong Qiu, Shengyu Zhang

CoRR, 2023

Protein-Ligand Complex Generator & Drug Screening via Tiered Tensor Transform.

Jonathan P. Mailoa, Zhaofeng Ye, Jiezhong Qiu, Chang-Yu Hsieh, Shengyu Zhang

CoRR, 2023

2021

SE(3)-Equivariant Graph Neural Networks for Data-Efficient and Accurate Interatomic Potentials.

Simon L. Batzner, Tess E. Smidt, Lixin Sun, Jonathan P. Mailoa, Mordechai Kornbluth, Nicola Molinari, Boris Kozinsky

CoRR, 2021

2020

A community-powered search of machine learning strategy space to find NMR property prediction models.

Lars A. Bratholm, Will Gerrard, Brandon M. Anderson, Shaojie Bai, Sunghwan Choi, Lam Dang, Pavel Hanchar, Addison Howard, Guillaume Huard, Sanghoon Kim, J. Zico Kolter, Risi Kondor, Mordechai Kornbluth, Youhan Lee, Youngsoo Lee, Jonathan P. Mailoa, Thanh Tu Nguyen, Milos Popovic, Goran Rakocevic, Walter Reade, Wonho Song, Luka Stojanovic, Erik H. Thiede, Nebojsa Tijanic, Andres Torrubia, Devin Willmott, Craig P. Butts, David R. Glowacki, Kaggle participants

CoRR, 2020

2019

A fast neural network approach for direct covariant forces prediction in complex multi-element extended systems.

Jonathan P. Mailoa, Mordechai Kornbluth, Simon L. Batzner, Georgy Samsonidze, Stephen T. Lam, Jonathan Vandermause, Chris Ablitt, Nicola Molinari, Boris Kozinsky

Nat. Mach. Intell., 2019

Fast Neural Network Approach for Direct Covariant Forces Prediction in Complex Multi-Element Extended Systems.

Jonathan P. Mailoa, Mordechai Kornbluth, Simon L. Batzner, Georgy Samsonidze, Stephen T. Lam, Chris Ablitt, Nicola Molinari, Boris Kozinsky

CoRR, 2019

2016

Beyond the Shockley-Queisser limit: intermediate band and tandem solar cells leveraging silicon and CdTe technology.

Jonathan P. Mailoa

PhD thesis, 2016