Ellad B. Tadmor

22 papers A* 2A 1B 2Journal 15Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
MolCrystalFlow: Molecular Crystal Structure Prediction via Flow Matching.
CoRR
Cheng Zeng, Harry W. Sullivan, Thomas Egg, Maya M. Martirossyan, Philipp Höllmer, Jirui Jin, Richard G. Hennig, Adrian Roitberg, Stefano Martiniani, Ellad B. Tadmor, Mingjie Liu
2026 J jnl
PropMolFlow: property-guided molecule generation with geometry-complete flow matching.
Nat. Comput. Sci.
Cheng Zeng, Jirui Jin, Connor Ambrose, George Karypis, Mark K. Transtrum, Ellad B. Tadmor, Richard G. Hennig, Adrian Roitberg, Stefano Martiniani, Mingjie Liu
2025 J jnl
All that structure matches does not glitter.
CoRR
Maya M. Martirossyan, Thomas Egg, Philipp Höllmer, George Karypis, Mark K. Transtrum, Adrian Roitberg, Mingjie Liu, Richard G. Hennig, Ellad B. Tadmor, Stefano Martiniani
2025 J jnl
Guided Diffusion for the Discovery of New Superconductors.
CoRR
Pawan Prakash, Jason B. Gibson, Zhongwei Li, Gabriele Di Gianluca, Juan Esquivel, Eric Fuemmeler, Benjamin Geisler, Jung Soo Kim, Adrian Roitberg, Ellad B. Tadmor, Mingjie Liu, Stefano Martiniani, Gregory R. Stewart, James J. Hamlin, Peter J. Hirschfeld, Richard G. Hennig
2025 J jnl
MolGuidance: Advanced Guidance Strategies for Conditional Molecular Generation with Flow Matching.
CoRR
Jirui Jin, Cheng Zeng, Pawan Prakash, Ellad B. Tadmor, Adrian Roitberg, Richard G. Hennig, Stefano Martiniani, Mingjie Liu
2025 A* conf
Open Materials Generation with Stochastic Interpolants.
ICML
Philipp Höllmer, Thomas Egg, Maya M. Martirossyan, Eric Fuemmeler, Zeren Shui, Amit Gupta, Pawan Prakash, Adrian Roitberg, Mingjie Liu, George Karypis, Mark K. Transtrum, Richard G. Hennig, Ellad B. Tadmor, Stefano Martiniani
2025 J jnl
Open Materials Generation with Stochastic Interpolants.
CoRR
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, Ellad B. Tadmor, Stefano Martiniani
2024 J jnl
An information-matching approach to optimal experimental design and active learning.
CoRR
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
2024 — conf
Fine-Tuning Language Models on Multiple Datasets for Citation Intention Classification.
EMNLP (Findings)
Zeren Shui, Petros Karypis, Daniel S. Karls, Mingjian Wen, Saurav Manchanda, Ellad B. Tadmor, George Karypis
2024 J jnl
Fine-Tuning Language Models on Multiple Datasets for Citation Intention Classification.
CoRR
Zeren Shui, Petros Karypis, Daniel S. Karls, Mingjian Wen, Saurav Manchanda, Ellad B. Tadmor, George Karypis
2024 — conf
Towards MatCore: A Unified Metadata Standard for Materials Science.
MTSR
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, Hendrik Heinz, Arthi Jayaraman, Vincenzo Lordi, Kristin A. Persson, Gian-Marco Rignanese, Aidan Thompson, Eric Toberer, Scott McClellan, Ellad B. Tadmor
2023 J jnl
Active Mass Distribution Estimation from Tactile Feedback.
CoRR
Jiacheng Yuan, Changhyun Choi, Ellad B. Tadmor, Volkan Isler
2023 A conf
Active Planar Mass Distribution Estimation with Robotic Manipulation.
IROS
Jiacheng Yuan, Changhyun Choi, Ellad B. Tadmor, Volkan Isler
2022 B conf
Extending OpenKIM with an Uncertainty Quantification Toolkit for Molecular Modeling.
e-Science
Yonatan Kurniawan, Cody L. Petrie, Mark K. Transtrum, Ellad B. Tadmor, Ryan S. Elliott, Daniel S. Karls, Mingjian Wen
2022 B conf
HPC Extensions to the OpenKIM Processing Pipeline.
e-Science
Daniel S. Karls, Steven M. Clark, Brendon A. Waters, Ryan S. Elliott, Ellad B. Tadmor
2022 J jnl
HPC Extensions to the OpenKIM Processing Pipeline.
CoRR
Daniel S. Karls, Steven M. Clark, Brendon A. Waters, Ryan S. Elliott, Ellad B. Tadmor
2022 A* conf
Injecting Domain Knowledge from Empirical Interatomic Potentials to Neural Networks for Predicting Material Properties.
NeurIPS
Zeren Shui, Daniel S. Karls, Mingjian Wen, Ilia A. Nikiforov, Ellad B. Tadmor, George Karypis
2022 J jnl
Injecting Domain Knowledge from Empirical Interatomic Potentials to Neural Networks for Predicting Material Properties.
CoRR
Zeren Shui, Daniel S. Karls, Mingjian Wen, Ilia A. Nikiforov, Ellad B. Tadmor, George Karypis
2022 J jnl
KLIFF: A framework to develop physics-based and machine learning interatomic potentials.
Comput. Phys. Commun.
Mingjian Wen, Yaser Afshar, Ryan S. Elliott, Ellad B. Tadmor
2017 J jnl
Analysis of Rippling in Incommensurate One-Dimensional Coupled Chains.
Multiscale Model. Simul.
Paul Cazeaux, Mitchell Luskin, Ellad B. Tadmor
2015 J jnl
Thermal parameter identification for non-Fourier heat transfer from molecular dynamics.
J. Comput. Phys.
Amit Singh, Ellad B. Tadmor
2009 J jnl
Efficient algorithms for discrete lattice calculations.
J. Comput. Phys.
Marcel Arndt, V. Sorkin, Ellad B. Tadmor