Albert Musaelian

13 papers A* 1A 2Journal 10

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Coupled reaction and diffusion governing interface evolution in solid-state batteries. CoRR Jingxuan Ding, Laura Zichi, Matteo Carli, Menghang Wang, Albert Musaelian, Yu Xie, Boris Kozinsky
2025	J	`jnl`	High-performance training and inference for deep equivariant interatomic potentials. CoRR Chuin Wei Tan, Marc L. Descoteaux, Mit Kotak, Gabriel de Miranda Nascimento, Seán R. Kavanagh, Laura Zichi, Menghang Wang, Aadit Saluja, Yizhong R. Hu, Tess E. Smidt, Anders Johansson, William C. Witt, Boris Kozinsky, Albert Musaelian
2025	A	`conf`	Multiscale Light-Matter Dynamics in Quantum Materials: From Electrons to Topological Superlattices. SC Taufeq Mohammed Razakh, Thomas Linker, Ye Luo, Nariman Piroozan, Simon John Pennycook, Nalini Kumar, Albert Musaelian, Anders Johansson, Boris Kozinsky, Rajiv K. Kalia, Priya Vashishta, Fuyuki Shimojo, Shinnosuke Hattori, Ken-ichi Nomura, Aiichiro Nakano
2025	J	`jnl`	The design space of E(3)-equivariant atom-centred interatomic potentials. Nat. Mac. Intell. Ilyes Batatia, Simon L. Batzner, Dávid Péter Kovács, Albert Musaelian, Gregor N. C. Simm, Ralf Drautz, Christoph Ortner, Boris Kozinsky, Gábor Csányi
2024	A*	`conf`	A Recipe for Charge Density Prediction. NeurIPS Xiang Fu, Andrew S. Rosen, Kyle Bystrom, Rui Wang, Albert Musaelian, Boris Kozinsky, Tess E. Smidt, Tommi S. Jaakkola
2024	J	`jnl`	A Recipe for Charge Density Prediction. CoRR Xiang Fu, Andrew S. Rosen, Kyle Bystrom, Rui Wang, Albert Musaelian, Boris Kozinsky, Tess E. Smidt, Tommi S. Jaakkola
2023	J	`jnl`	Accurate Surface and Finite Temperature Bulk Properties of Lithium Metal at Large Scales using Machine Learning Interaction Potentials. CoRR Mgcini Keith Phuthi, Archie Mingze Yao, Simon L. Batzner, Albert Musaelian, Boris Kozinsky, Ekin Dogus Cubuk, Venkatasubramanian Viswanathan
2023	J	`jnl`	Learning Interatomic Potentials at Multiple Scales. CoRR Xiang Fu, Albert Musaelian, Anders Johansson, Tommi S. Jaakkola, Boris Kozinsky
2023	A	`conf`	Scaling the Leading Accuracy of Deep Equivariant Models to Biomolecular Simulations of Realistic Size. SC Boris Kozinsky, Albert Musaelian, Anders Johansson, Simon L. Batzner
2023	J	`jnl`	Scaling the leading accuracy of deep equivariant models to biomolecular simulations of realistic size. CoRR Albert Musaelian, Anders Johansson, Simon L. Batzner, Boris Kozinsky
2022	J	`jnl`	Fast Uncertainty Estimates in Deep Learning Interatomic Potentials. CoRR Albert Zhu, Simon L. Batzner, Albert Musaelian, Boris Kozinsky
2022	J	`jnl`	Learning Local Equivariant Representations for Large-Scale Atomistic Dynamics. CoRR Albert Musaelian, Simon L. Batzner, Anders Johansson, Lixin Sun, Cameron J. Owen, Mordechai Kornbluth, Boris Kozinsky
2022	J	`jnl`	The Design Space of E(3)-Equivariant Atom-Centered Interatomic Potentials. CoRR Ilyes Batatia, Simon L. Batzner, Dávid Péter Kovács, Albert Musaelian, Gregor N. C. Simm, Ralf Drautz, Christoph Ortner, Boris Kozinsky, Gábor Csányi