Lane Schultz

According to our database, Lane Schultz authored at least 9 papers in 2024.

Collaborative distances:

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

2024

Foundry-ML - Software and Services to Simplify Access to Machine Learning Datasets in Materials Science.

K. J. Schmidt, Aristana Scourtas, Logan T. Ward, Steve Wangen, Marcus Schwarting, Isaac Darling, Ethan Truelove, Aadit Ambadkar, Ribhav Bose, Zoa Katok, Jingrui Wei, Xiangguo Li, Ryan Jacobs, Lane Schultz, Doyeon Kim, Michael C. Ferris, Paul M. Voyles, Dane Morgan, Ian T. Foster, Ben Blaiszik

J. Open Source Softw., January, 2024

Foundry-ML - Software and Services to Simplify Access to Machine Learning Datasets in Materials Science.

K. J. Schmidt, Aristana Scourtas, Logan T. Ward, Steve Wangen, Marcus Schwarting, Isaac Darling, Ethan Truelove, Aadit Ambadkar, Ribhav Bose, Zoa Katok, Jingrui Wei, Xiangguo Li, Ryan Jacobs, Lane Schultz, Doyeon Kim, Michael Ferris, Paul M. Voyles, Dane Morgan, Ian T. Foster, Ben Blaiszik

Dataset, January, 2024

Foundry-ML - Software and Services to Simplify Access to Machine Learning Datasets in Materials Science.

K. J. Schmidt, Aristana Scourtas, Logan T. Ward, Steve Wangen, Marcus Schwarting, Isaac Darling, Ethan Truelove, Aadit Ambadkar, Ribhav Bose, Zoa Katok, Jingrui Wei, Xiangguo Li, Ryan Jacobs, Lane Schultz, Doyeon Kim, Michael Ferris, Paul M. Voyles, Dane Morgan, Ian T. Foster, Ben Blaiszik

Dataset, January, 2024

Foundry-ML - Software and Services to Simplify Access to Machine Learning Datasets in Materials Science.

K. J. Schmidt, Aristana Scourtas, Logan T. Ward, Steve Wangen, Marcus Schwarting, Isaac Darling, Ethan Truelove, Aadit Ambadkar, Ribhav Bose, Zoa Katok, Jingrui Wei, Xiangguo Li, Ryan Jacobs, Lane Schultz, Doyeon Kim, Michael Ferris, Paul M. Voyles, Dane Morgan, Ian T. Foster, Ben Blaiszik

Dataset, January, 2024

Foundry-ML (latest).

K. J. Schmidt, Aristana Scourtas, Logan T. Ward, Steve Wangen, Marcus Schwarting, Isaac Darling, Ethan Truelove, Aadit Ambadkar, Ribhav Bose, Zoa Katok, Jingrui Wei, Xiangguo Li, Ryan Jacobs, Lane Schultz, Doyeon Kim, Michael Ferris, Paul M. Voyles, Dane Morgan, Ian T. Foster, Ben Blaiszik

Dataset, January, 2024

Machine learning materials properties with accurate predictions, uncertainty estimates, domain guidance, and persistent online accessibility.

Ryan Jacobs, Lane E. Schultz, Aristana Scourtas, K. J. Schmidt, Owen Price Skelly, Will Engler, Ian T. Foster, Ben Blaiszik, Paul M. Voyles, Dane Morgan

Mach. Learn. Sci. Technol., 2024

Regression with Large Language Models for Materials and Molecular Property Prediction.

Ryan Jacobs, Maciej P. Polak, Lane E. Schultz, Hamed Mahdavi, Vasant G. Honavar, Dane Morgan

CoRR, 2024

Determining Domain of Machine Learning Models using Kernel Density Estimates: Applications in Materials Property Prediction.

Lane E. Schultz, Yiqi Wang, Ryan Jacobs, Dane Morgan

CoRR, 2024

Accelerating Ensemble Error Bar Prediction with Single Models Fits.

Vidit Agrawal, Shixin Zhang, Lane E. Schultz, Dane Morgan

CoRR, 2024