SAD: Saliency-based Defenses Against Adversarial Examples. - Richard Tran; David Patrick; Michael Geyer; Amanda S. Fernandez (CoRR, 2020)

First principles modeling of planar and point defects in materials - Richard Tran (2020)

Reconstructive Training for Real-World Robustness in Image Classification. - David Patrick; Michael Geyer; Richard Tran; Amanda S. Fernandez (WACV (Workshops), 2022)

All-Electric Nonassociative Learning in Nickel Oxide. - Sandip Mondal; Zhen Zhang; A. N. M. Nafiul Islam; Robert Andrawis; Sampath Gamage; Neda Alsadat Aghamiri; Qi Wang; Hua Zhou; Fanny Rodolakis; Richard Tran; Jasleen Kaur; Chi Chen; et al. (Adv. Intell. Syst., 2022)

The Open Catalyst 2022 (OC22) Dataset and Challenges for Oxide Electrocatalysis. - Richard Tran; Janice Lan; Muhammed Shuaibi; Siddharth Goyal; Brandon M. Wood; Abhishek Das; Javier Heras-Domingo; Adeesh Kolluru; Ammar Rizvi; Nima Shoghi; Anuroop Sriram; Zachary W. Ulissi; et al. (CoRR, 2022)

Generalization of graph-based active learning relaxation strategies across materials. - Xiaoxiao Wang; Joseph Musielewicz; Richard Tran; Sudheesh Kumar Ethirajan; Xiaoyan Fu; Hilda Mera; John R. Kitchin; Rachel C. Kurchin; Zachary W. Ulissi (Mach. Learn. Sci. Technol., 2024)