33
J.B. McClimon, Z. Li, K. Baral, D. Goldsby, I. Szlufarska, R.W. Carpick, The Effects of Humidity on the Velocity-Dependence and Frictional Ageing of Nanoscale Silica Contacts, Tribology Letters 2024 72:4 72 (2024) 1–19. (Journal Pub)
32
R. Tabrizian, J. Gao, T. Tharpe, N. Liu, F. Hakim, B. Jabbari, I. Szlufarska, Temperature-insensitive nanomechanical clocks in CMOS oxides, (2024). (Journal Pub)
31
Y. Li, H. Luo, F. Wang, Y. Yang, C. Song, J. Ping Liu, I. Szlufarska, J. Zhang, B. Shen, Resolving the early-stage nucleus structure and evolution in atomic systems, Materials Today 77 (2024) 1–10. (Journal Pub)
30
K. Ammigan, G. Arora, S. Bidhar, A. Burleigh, F. Pellemoine, A. Couet, N. Crnkovich, I. Szlufarska, Novel materials for next-generation accelerator target facilities, (2024). (arXiv)
29
J. Xi, H. Zhang, R. Su, S. Wei, X. Hu, B. Queylat, T. Kim, A. Couet, I. Szlufarska, Coupling of radiation and grain boundary corrosion in SiC, Npj Mater Degrad 8 (2024) 1–6. (Journal Pub)
28
P. Nelaturu, J.R. Hattrick-Simpers, M. Moorehead, V. Jambur, I. Szlufarska, A. Couet, D.J. Thoma, Multi-principal element alloy discovery using directed energy deposition and machine learning, Materials Science and Engineering: A 891 (2024). (Journal Pub)
27
R. Jacobs, L.E. Schultz, A. Scourtas, K.J. Schmidt, O. Price-Skelly, W. Engler, I. Foster, B. Blaiszik, P.M. Voyles, D. Morgan, Machine learning materials properties with accurate predictions, uncertainty estimates, domain guidance, and persistent online accessibility, Mach Learn Sci Technol 5 (2024) 045051. (Journal Pub)
26
J. Meng, M.S. Sheikh, R. Jacobs, J. Liu, W.O. Nachlas, X. Li, D. Morgan, Multiple New Families of Fast Oxygen Interstitial Conductor Discovered by High-Throughput Computational Screening, ECS Meeting Abstracts MA2024-02 (2024). (Journal Pub)
25
Y.-L. Lee, Y. Duan, D. Sorescu, W. Saidi, D. Morgan, T. Kalapos, W. Epting, G. Hackett, H. Abernathy, An Analytical Tool to Evaluate Defect Thermodynamics of (La,Ba)Fe1-xMxO3-? Perovskites for Solid-Oxide Cell Applications, (2024). (Journal Pub)
24
J. Liu, R. Jacobs, B. Guan, Y. Picard, T. Yang, R. Pineault, G. Hackett, H. Abernathy, D. Morgan, Material Discovery and Design Principles of Perovskite Oxides for Reversible Solid Oxide Cells (R-SOC), (2024). (Journal Pub)
23
K.T. Butler, K. Choudhary, G. Csanyi, A.M. Ganose, S. V. Kalinin, D. Morgan, Setting standards for data driven materials science, NPJ Comput Mater 10 (2024) 1–3. (Journal Pub)
22
R. Jacobs, M.P. Polak, L.E. Schultz, H. Mahdavi, V. Honavar, D. Morgan, Regression with Large Language Models for Materials and Molecular Property Prediction, (2024). (arXiv)
21
M.J. Lynch, R. Jacobs, G. Bruno, P. Patki, D. Morgan, K.G. Field, Accelerating Domain-Aware Electron Microscopy Analysis Using Deep Learning Models with Synthetic Data and Image-Wide Confidence Scoring, (2024). (arXive)
20
L.E. Schultz, Y. Wang, R. Jacobs, D. Morgan, A General Approach for Determining Applicability Domain of Machine Learning Models, (2024). (arXiv)
19
Y.-L. Lee, Y. Duan, D. Sorescu, W. Saidi, D. Morgan, W. Epting, T. Kalapos, G. Hackett, H. Abernathy, Defect Thermodynamics and Transport Properties of Perovskite and Fluorite Materials for Solid-Oxide and Proton Conducting Oxide Cells Evaluated Based on Density Functional Theory Modeling, (2024). (Journal Pub)
18
V. Agrawal, S. Zhang, L.E. Schultz, D. Morgan, Accelerating Ensemble Error Bar Prediction with Single Models Fits, (2024). (arXiv)
17
S. Attarian, D. Morgan, I. Szlufarska, Studies of Ni-Cr complexation in FLiBe molten salt using machine learning interatomic potentials, J Mol Liq 400 (2024). (Journal Pub)
16
R. Jacobs, J. Liu, H. Abernathy, D. Morgan, Critical Assessment of Electronic Structure Descriptors for Predicting Perovskite Catalytic Properties, ACS Appl Energy Mater 7 (2024). (Journal Pub)
15
Y.-L. Lee, Y. Duan, D. Sorescu, W. Saidi, T. Kalapos, B. Epting, G. Hackett, H. Abernathy, D. Morgan, Triple_Conducting_Perovskite_Defect_Model, (2024). (Journal Pub)
14
R. Jacobs, J. Liu, H. Abernathy, D. Morgan, Machine Learning Design of Perovskite Catalytic Properties, Adv Energy Mater 14 (2024). (Journal Pub)
13
M.S. Sheikh, R. Jacobs, D. Morgan, J. Booske, Time dependence of SrVO3 thermionic electron emission properties, J Appl Phys 135 (2024). (Journal Pub)
12
Z. Yu, A. Annamareddy, D. Morgan, B. Wang, How close are the classical two-body potentials to ab initio calculations? Insights from linear machine learning based force matching, Journal of Chemical Physics 160 (2024). (Journal Pub)
11
M.P. Polak, S. Modi, A. Latosinska, J. Zhang, C.W. Wang, S. Wang, A.D. Hazra, D. Morgan, Flexible, model-agnostic method for materials data extraction from text using general purpose language models, Digital Discovery 3 (2024). (Journal Pub)
10
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)
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
M.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, (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)