Albert Musaelian

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 8

Top Topics

High Prediction Accuracy

High Temperature

Machine Learning

Top Venues

Publications

Xiang Fu, Andrew S. Rosen, Kyle Bystrom, Rui Wang, Albert Musaelian, Boris Kozinsky, Tess E. Smidt, Tommi S. Jaakkola
A Recipe for Charge Density Prediction. CoRR (2024)
Boris Kozinsky, Albert Musaelian, Anders Johansson, Simon L. Batzner
Scaling the Leading Accuracy of Deep Equivariant Models to Biomolecular Simulations of Realistic Size. SC (2023)
Mgcini Keith Phuthi, Archie Mingze Yao, Simon L. Batzner, Albert Musaelian, Boris Kozinsky, Ekin Dogus Cubuk, Venkatasubramanian Viswanathan
Accurate Surface and Finite Temperature Bulk Properties of Lithium Metal at Large Scales using Machine Learning Interaction Potentials. CoRR (2023)
Xiang Fu, Albert Musaelian, Anders Johansson, Tommi Jaakkola, Boris Kozinsky
Learning Interatomic Potentials at Multiple Scales. CoRR (2023)
Albert Musaelian, Anders Johansson, Simon L. Batzner, Boris Kozinsky
Scaling the leading accuracy of deep equivariant models to biomolecular simulations of realistic size. CoRR (2023)
Albert Zhu, Simon L. Batzner, Albert Musaelian, Boris Kozinsky
Fast Uncertainty Estimates in Deep Learning Interatomic Potentials. CoRR (2022)
Albert Musaelian, Simon L. Batzner, Anders Johansson, Lixin Sun, Cameron J. Owen, Mordechai Kornbluth, Boris Kozinsky
Learning Local Equivariant Representations for Large-Scale Atomistic Dynamics. CoRR (2022)
Ilyes Batatia, Simon L. Batzner, Dávid Péter Kovács, Albert Musaelian, Gregor N. C. Simm, Ralf Drautz, Christoph Ortner, Boris Kozinsky, Gábor Csányi
The Design Space of E(3)-Equivariant Atom-Centered Interatomic Potentials. CoRR (2022)