Maya M. Martirossyan

According to our database, Maya M. Martirossyan authored at least 5 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

MolCryst-MLIPs: A Machine-Learned Interatomic Potentials Database for Molecular Crystals.

Adam Lahouari, Shen Ai, Jihye Han, Jillian Hoffstadt, Philipp Hoellmer, Charlotte Infante, Pulkita Jain, Sangram Kadam, Maya M. Martirossyan, Amara McCune, Hypatia Newton, Shlok J. Paul, Willmor Pena, Jonathan Raghoonanan, Sumon Sahu, Oliver Tan, Andrea Vergara, Jutta Rogal, Mark E. Tuckerman

CoRR, April, 2026

MolCrystalFlow: Molecular Crystal Structure Prediction via Flow Matching.

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

CoRR, February, 2026

2025

All that structure matches does not glitter.

Maya M. Martirossyan, Thomas Egg, Philipp Höllmer, George Karypis, Mark K. Transtrum, Adrian Roitberg, Mingjie Liu, Richard G. Hennig, Ellad B. Tadmor, Stefano Martiniani

CoRR, September, 2025

Open Materials Generation with Stochastic Interpolants.

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

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

Self-Supervised Learning for Ordered Three-Dimensional Structures.

Matthew Spellings, Maya M. Martirossyan, Julia Dshemuchadse

CoRR, 2024