James M. Rondinelli

According to our database, James M. Rondinelli authored at least 7 papers between 2018 and 2025.

Collaborative distances:

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

2025

AI-Accelerated Electronic Materials Discovery and Development.

Christopher C. Price, Ichiro Takeuchi, James M. Rondinelli, Wei Chen, Christopher L. Hinkle

Computer, February, 2025

2024

Emerging Microelectronic Materials by Design: Navigating Combinatorial Design Space with Scarce and Dispersed Data.

Hengrui Zhang, Alexandru B. Georgescu, Suraj Yerramilli, Christopher Karpovich, Daniel W. Apley, Elsa A. Olivetti, James M. Rondinelli, Wei Chen

CoRR, 2024

Do Graph Neural Networks Work for High Entropy Alloys?

Hengrui Zhang, Ruishu Huang, Jie Chen, James M. Rondinelli, Wei Chen

CoRR, 2024

2023

MolSets: Molecular Graph Deep Sets Learning for Mixture Property Modeling.

Hengrui Zhang, Jie Chen, James M. Rondinelli, Wei Chen

CoRR, 2023

2022

ET-AL: Entropy-Targeted Active Learning for Bias Mitigation in Materials Data.

Hengrui Zhang, Wei Wayne Chen, James M. Rondinelli, Wei Chen

CoRR, 2022

2020

Exploiting Colorimetry for Fidelity in Data Visualization.

Michael J. Waters, Jessica M. Walker, Christopher T. Nelson, Derek Joester, James M. Rondinelli

CoRR, 2020

2018

Learning from Correlations Based on Local Structure: Rare-Earth Nickelates Revisited.

Nicholas Wagner, Danilo Puggioni, James M. Rondinelli

J. Chem. Inf. Model., 2018