Ryan Jacobs

According to our database, Ryan Jacobs authored at least 15 papers between 2017 and 2026.

Collaborative distances:

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

2026

Microstructure characterization in thermal barrier coatings using Sparse Polynomial Chaos Classifiers and Global Sensitivity Analysis.

Panagiotis Tsilifis, Roger G. Ghanem, Ryan Jacobs

Reliab. Eng. Syst. Saf., 2026

2025

A practical guide to machine learning interatomic potentials - Status and future.

Ryan Jacobs, Dane Morgan, Siamak Attarian, Jun Meng, Chen Shen, Zhenghao Wu, Clare Yijia Xie, Julia H. Yang, Nongnuch Artrith, Ben Blaiszik, Gerbrand Ceder, Kamal Choudhary, Gábor Csányi, Ekin Dogus Cubuk, Bowen Deng, Ralf Drautz, Xiang Fu, Jonathan Godwin, Vasant G. Honavar, Olexandr Isayev, Anders Johansson, Boris Kozinsky, Stefano Martiniani, Shyue Ping Ong, Igor Poltavsky, K. J. Schmidt, So Takamoto, Aidan Thompson, Julia Westermayr, Brandon M. Wood

CoRR, March, 2025

Predicting Performance of Object Detection Models in Electron Microscopy Using Random Forests.

Ni Li, Ryan Jacobs, Matthew J. Lynch, Vidit Agrawal, Kevin G. Field, Dane Morgan

CoRR, January, 2025

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

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

Accelerating Domain-Aware Electron Microscopy Analysis Using Deep Learning Models with Synthetic Data and Image-Wide Confidence Scoring.

Matthew J. Lynch, Ryan Jacobs, Gabriella Bruno, Priyam Patki, Dane Morgan, Kevin G. Field

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

2023

Role of multifidelity data in sequential active learning materials discovery campaigns: case study of electronic bandgap.

Ryan Jacobs, Philip E. Goins, Dane Morgan

Mach. Learn. Sci. Technol., December, 2023

2022

Data for: Impact of Non-Uniform Thermionic Emission on the Transition Behavior between Temperature- and Space-Charge-Limited Emission.

Dongzheng Chen, Ryan Jacobs, Dane Morgan, John Booske

Dataset, May, 2022

2021

Performance, Successes and Limitations of Deep Learning Semantic Segmentation of Multiple Defects in Transmission Electron Micrographs.

Ryan Jacobs, Mingren Shen, Yuhan Liu, Wei Hao, Xiaoshan Li, Ruoyu He, Jacob R. C. Greaves, Donglin Wang, Zeming Xie, Zitong Huang, Chao Wang, Kevin G. Field, Dane Morgan

CoRR, 2021

2017

SDR-Based Experiments for LTE-LAA Based Coexistence Systems with Improved Design.

Yao Ma, Ryan Jacobs, Daniel G. Kuester, Jason B. Coder, William F. Young

Proceedings of the 2017 IEEE Global Communications Conference, 2017