MnxZn1-xFe2-yRyO4 (R=Gd, Eu) ferrite nanocrystals for magnetocaloric applications. - E. Calderón-Ortiz; O. Perales-Pérez; Paul M. Voyles; G. Gutierrez; M. S. Tomar (Microelectron. J., 2009)

Non-local Means for Scanning Transmission Electron Microscopy Images and Poisson Noise based on Adaptive Periodic Similarity Search and Patch Regularization. - Niklas Mevenkamp; Andrew B. Yankovich; Paul M. Voyles; Benjamin Berkels (VMV, 2014)

FEMSIM + HRMC: Simulation of and structural refinement using fluctuation electron microscopy for amorphous materials. - Jason J. Maldonis; Jinwoo Hwang; Paul M. Voyles (Comput. Phys. Commun., 2017)

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)