Efficient algorithms for discrete lattice calculations. - Marcel Arndt; V. Sorkin; Ellad B. Tadmor (J. Comput. Phys., 2009)

Thermal parameter identification for non-Fourier heat transfer from molecular dynamics. - Amit Singh 006; Ellad B. Tadmor (J. Comput. Phys., 2015)

Analysis of Rippling in Incommensurate One-Dimensional Coupled Chains. - Paul Cazeaux; Mitchell Luskin; Ellad B. Tadmor (Multiscale Model. Simul., 2017)

HPC Extensions to the OpenKIM Processing Pipeline. - Daniel S. Karls; Steven M. Clark; Brendon A. Waters; Ryan S. Elliott; Ellad B. Tadmor (e-Science, 2022)

Extending OpenKIM with an Uncertainty Quantification Toolkit for Molecular Modeling. - Yonatan Kurniawan; Cody L. Petrie; Mark K. Transtrum; Ellad B. Tadmor; Ryan S. Elliott; Daniel S. Karls; Mingjian Wen (e-Science, 2022)

Injecting Domain Knowledge from Empirical Interatomic Potentials to Neural Networks for Predicting Material Properties. - Zeren Shui; Daniel S. Karls; Mingjian Wen; Ilia A. Nikiforov; Ellad B. Tadmor; George Karypis (NeurIPS, 2022)

KLIFF: A framework to develop physics-based and machine learning interatomic potentials. - Mingjian Wen; Yaser Afshar; Ryan S. Elliott; Ellad B. Tadmor (Comput. Phys. Commun., 2022)

Active Planar Mass Distribution Estimation with Robotic Manipulation. - Jiacheng Yuan; Changhyun Choi; Ellad B. Tadmor; Volkan Isler (IROS, 2023)

Active Mass Distribution Estimation from Tactile Feedback. - Jiacheng Yuan; Changhyun Choi; Ellad B. Tadmor; Volkan Isler (CoRR, 2023)

Fine-Tuning Language Models on Multiple Datasets for Citation Intention Classification. - Zeren Shui; Petros Karypis; Daniel S. Karls; Mingjian Wen; Saurav Manchanda; Ellad B. Tadmor; George Karypis (EMNLP (Findings), 2024)

Towards MatCore: A Unified Metadata Standard for Materials Science. - Jane Greenberg; Pámela Bóveda-Aguirre; John Allison; Pietro Asinari; Maria Chan; Anand Chandrasekaran; Elif Ertekin; Emmanouel Garoufallou; Giulia Galli; Paolo Giannozzi; Feliciano Giustino; Gerhard Goldbeck; et al. (MTSR, 2024)

An information-matching approach to optimal experimental design and active learning. - Yonatan Kurniawan; Tracianne B. Neilsen; Benjamin L. Francis; Alex M. Stankovic; Mingjian Wen; Ilia A. Nikiforov; Ellad B. Tadmor; Vasily V. Bulatov; Vincenzo Lordi; Mark K. Transtrum (CoRR, 2024)

Open Materials Generation with Stochastic Interpolants. - Philipp Höllmer; Thomas Egg; Maya M. Martirossyan; Eric Fuemmeler; Amit Gupta; Zeren Shui; Pawan Prakash; Adrian Roitberg; Mingjie Liu; George Karypis; Mark K. Transtrum; Richard G. Hennig; et al. (CoRR, 2025)