Ryan Jacobs

11 papers B 1Journal 10
YearRankTypeTitle / Venue / Authors
2026 J jnl
Microstructure characterization in thermal barrier coatings using Sparse Polynomial Chaos Classifiers and Global Sensitivity Analysis.
Reliab. Eng. Syst. Saf.
Panagiotis Tsilifis, Roger G. Ghanem, Ryan Jacobs
2025 J jnl
A practical guide to machine learning interatomic potentials - Status and future.
CoRR
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
2025 J jnl
Predicting Performance of Object Detection Models in Electron Microscopy Using Random Forests.
CoRR
Ni Li, Ryan Jacobs, Matthew J. Lynch, Vidit Agrawal, Kevin G. Field, Dane Morgan
2024 J jnl
Accelerating Domain-Aware Electron Microscopy Analysis Using Deep Learning Models with Synthetic Data and Image-Wide Confidence Scoring.
CoRR
Matthew J. Lynch, Ryan Jacobs, Gabriella Bruno, Priyam Patki, Dane Morgan, Kevin G. Field
2024 J jnl
Determining Domain of Machine Learning Models using Kernel Density Estimates: Applications in Materials Property Prediction.
CoRR
Lane E. Schultz, Yiqi Wang, Ryan Jacobs, Dane Morgan
2024 J jnl
Foundry-ML - Software and Services to Simplify Access to Machine Learning Datasets in Materials Science.
J. Open Source Softw.
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
2024 J jnl
Machine learning materials properties with accurate predictions, uncertainty estimates, domain guidance, and persistent online accessibility.
Mach. Learn. Sci. Technol.
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
2024 J jnl
Regression with Large Language Models for Materials and Molecular Property Prediction.
CoRR
Ryan Jacobs, Maciej P. Polak, Lane E. Schultz, Hamed Mahdavi, Vasant G. Honavar, Dane Morgan
2023 J jnl
Role of multifidelity data in sequential active learning materials discovery campaigns: case study of electronic bandgap.
Mach. Learn. Sci. Technol.
Ryan Jacobs, Philip E. Goins, Dane Morgan
2021 J jnl
Performance, Successes and Limitations of Deep Learning Semantic Segmentation of Multiple Defects in Transmission Electron Micrographs.
CoRR
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
2017 B conf
SDR-Based Experiments for LTE-LAA Based Coexistence Systems with Improved Design.
GLOBECOM
Yao Ma, Ryan Jacobs, Daniel G. Kuester, Jason B. Coder, William F. Young