Anders Johansson

According to our database, Anders Johansson authored at least 8 papers between 2022 and 2025.

Collaborative distances:

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

2025

High-performance training and inference for deep equivariant interatomic potentials.

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

CoRR, April, 2025

A practical guide to machine learning interatomic potentials - Status and future.

Ryan Jacobs, Dane Morgan, Siamak Attarian, Jun Meng, Chen Shen, Zhenghao Wu, Clare Yijia Xie, Julia H. Yang, Nongnuch Artrith, Ben Blaiszik, Gerbrand Ceder, Kamal Choudhary, Gábor Csányi, Ekin Dogus Cubuk, Bowen Deng, Ralf Drautz, Xiang Fu, Jonathan Godwin, Vasant G. Honavar, Olexandr Isayev, Anders Johansson, Boris Kozinsky, Stefano Martiniani, Shyue Ping Ong, Igor Poltavsky, K. J. Schmidt, So Takamoto, Aidan Thompson, Julia Westermayr, Brandon M. Wood

CoRR, March, 2025

Multiscale Light-Matter Dynamics in Quantum Materials: From Electrons to Topological Superlattices.

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

Proceedings of the International Conference for High Performance Computing, 2025

LAMMPS-KOKKOS: Performance Portable Molecular Dynamics Across Exascale Architectures.

Anders Johansson, Evan Weinberg, Christian Trott, Megan J. McCarthy, Stan G. Moore

Proceedings of the SC '25 Workshops of the International Conference for High Performance Computing, 2025

2024

Phase discovery with active learning: Application to structural phase transitions in equiatomic NiTi.

Jonathan Vandermause, Anders Johansson, Yucong Miao, Joost J. Vlassak, Boris Kozinsky

CoRR, 2024

2023

Learning Interatomic Potentials at Multiple Scales.

Xiang Fu, Albert Musaelian, Anders Johansson, Tommi S. Jaakkola, Boris Kozinsky

CoRR, 2023

Scaling the Leading Accuracy of Deep Equivariant Models to Biomolecular Simulations of Realistic Size.

Boris Kozinsky, Albert Musaelian, Anders Johansson, Simon L. Batzner

Proceedings of the International Conference for High Performance Computing, 2023

2022

Learning Local Equivariant Representations for Large-Scale Atomistic Dynamics.

Albert Musaelian, Simon L. Batzner, Anders Johansson, Lixin Sun, Cameron J. Owen, Mordechai Kornbluth, Boris Kozinsky

CoRR, 2022