SDR-Based Experiments for LTE-LAA Based Coexistence Systems with Improved Design. - Yao Ma 004; Ryan Jacobs; Daniel G. Kuester; Jason B. Coder; William F. Young (GLOBECOM, 2017)

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; et al. (CoRR, 2021)

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 (IEEE DataPort, 2022)

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., 2023)

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 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)

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)

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; et al. (Zenodo, 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; et al. (Zenodo, 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; et al. (Zenodo, 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; et al. (Zenodo, 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; et al. (J. Open Source Softw., 2024)

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, 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; et al. (CoRR, 2025)

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)