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ORCIDEllad B. Tadmor
Person information
- affiliation: Department of Aerospace Engineering and Mechanics, University of Minnesota, USA
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Journal Articles
- 2022
[j4]Mingjian Wen
, Yaser Afshar, Ryan S. Elliott, Ellad B. Tadmor:
KLIFF: A framework to develop physics-based and machine learning interatomic potentials. Comput. Phys. Commun. 272: 108218 (2022)- 2017
- [j3]Paul Cazeaux, Mitchell Luskin, Ellad B. Tadmor:
Analysis of Rippling in Incommensurate One-Dimensional Coupled Chains. Multiscale Model. Simul. 15(1): 56-73 (2017) - 2015
- [j2]Amit Singh, Ellad B. Tadmor:
Thermal parameter identification for non-Fourier heat transfer from molecular dynamics. J. Comput. Phys. 299: 667-686 (2015) - 2009
- [j1]Marcel Arndt, V. Sorkin, Ellad B. Tadmor:
Efficient algorithms for discrete lattice calculations. J. Comput. Phys. 228(13): 4858-4880 (2009)
Conference and Workshop Papers
- 2023
- [c4]Jiacheng Yuan, Changhyun Choi, Ellad B. Tadmor, Volkan Isler:
Active Planar Mass Distribution Estimation with Robotic Manipulation. IROS 2023: 10785-10791 - 2022
- [c3]Daniel S. Karls, Steven M. Clark, Brendon A. Waters, Ryan S. Elliott, Ellad B. Tadmor:
HPC Extensions to the OpenKIM Processing Pipeline. e-Science 2022: 278-283 - [c2]Yonatan Kurniawan, Cody L. Petrie, Mark K. Transtrum, Ellad B. Tadmor, Ryan S. Elliott, Daniel S. Karls, Mingjian Wen:
Extending OpenKIM with an Uncertainty Quantification Toolkit for Molecular Modeling. e-Science 2022: 367-377 - [c1]Zeren Shui, Daniel S. Karls, Mingjian Wen, Ilia A. Nikiforov, Ellad B. Tadmor, George Karypis:
Injecting Domain Knowledge from Empirical Interatomic Potentials to Neural Networks for Predicting Material Properties. NeurIPS 2022
Informal and Other Publications
- 2023
- [i3]Jiacheng Yuan, Changhyun Choi, Ellad B. Tadmor, Volkan Isler:
Active Mass Distribution Estimation from Tactile Feedback. CoRR abs/2303.01010 (2023) - 2022
- [i2]Daniel S. Karls, Steven M. Clark, Brendon A. Waters, Ryan S. Elliott, Ellad B. Tadmor:
HPC Extensions to the OpenKIM Processing Pipeline. CoRR abs/2205.14507 (2022) - [i1]Zeren Shui, Daniel S. Karls, Mingjian Wen, Ilia A. Nikiforov, Ellad B. Tadmor, George Karypis:
Injecting Domain Knowledge from Empirical Interatomic Potentials to Neural Networks for Predicting Material Properties. CoRR abs/2210.08047 (2022)
Coauthor Index
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