11
L.E. Schultz, B. Afflerbach, P.M. Voyles, D. Morgan, Machine learning metallic glass critical cooling rates through elemental and molecular simulation based featurization, J. Mater. (2024) 100964. (Journal Pub)
10
S. Attarian, C. Shen, D. Morgan, I. Szlufarska, Best practices for fitting machine learning interatomic potentials for molten salts: A case study using NaCl-MgCl2, Comput. Mater. Sci. 246 (2025) 113409. (Journal Pub)
9
K. Quillin, K.N. Sasidhar, M.W. Qureshi, H. Yeom, I. Szlufarska, K. Sridharan, Unusual nanoscale amorphization of metallic chromium interfacing with SiC under high energy irradiation, Acta Mater. 278 (2024) 120236.(Journal Pub)
8
X. Zheng, J. Meng, N.P. Guisinger, J.R. Guest, K.A. Su, D. Morgan, M.S. Arnold, Evolution of PTCDA-derived seeds prior to graphene nanoribbon growth on Ge(001), Carbon N. Y. 229 (2024) 119468.(Journal Pub)
7
J. Meng, M.S. Sheikh, R. Jacobs, J. Liu, W.O. Nachlas, X. Li, D. Morgan, Computational discovery of fast interstitial oxygen conductors, Nat. Mater. 2024. (2024) 1–7. (Journal Pub)
6
M.S. Sheikh, L. Lin, R. Jacobs, M.E. Kordesch, J.T. Sadowski, M. Charpentier, D. Morgan, J. Booske, Direct evidence of low work function on SrVO3 cathode using thermionic electron emission microscopy and high-field ultraviolet photoemission spectroscopy, APL Mater. 12 (2024) 61105. (Journal Pub)
5
P. Polak, S. Modi, A. Latosinska, J. Zhang, C. Wang, S. Wang, A. D. Hazra and D. Morgan, Digital Discovery Flexible, Model-Agnostic Method for Materials Data Extraction from Text Using General Purpose Language Models. Digital Discovery, 2024, DOI: 10.1039/D4DD00016A. (Journal Pub)
4
S. Wei, M.W. Qureshi, J. Xi, J.Y. Kim, X. Wang, J. Wei, R. Su, L. Liu, W.O. Nachlas, J.H. Perepezko, H. Zhang, I. Szlufarska, Radiation induced segregation in titanium diboride. Acta Mater. 267 (2024) 119739. (Journal Pub)
3
Polak, M.P., D. Morgan. Extracting accurate materials data from research papers with conversational language models and prompt engineering. Nat Commun 15, 1569 (2024). (Journal Pub)
2
KJ Schmidt, A. Scourtas, L. Ward, S. Wangen, M. Schwarting, I. Darling, E. Truelove, A. Ambadkar, R. Bose, Z. Katok, J. Wei, X. Li, R. Jacobs, L. Schultz, D. Kim, M. Ferris, P.M. Voyles, D. Morgan, I. Foster, B. Blaiszik. Foundry-ML – Software and Services to Simplify Access to Machine Learning Datasets in Materials Science. Journal of
Open Source Software, 9(93), 5467. (Journal Pub)
1
Dong, W., Lian, J., Yan, C., Zhong, Y., Karnati, S., Guo, Q., Chen, L., D. Morgan, Deep-Learning-Based Segmentation of Keyhole in In-Situ X-ray Imaging of Laser Powder Bed Fusion. Materials 2024, 17, 510. (Journal Pub)