Search papers, labs, and topics across Lattice.
2
0
2
5
Current machine learning interatomic potentials fall short in capturing electrostatic interactions in complex systems like metal-water interfaces, but this work provides a roadmap for building more accurate and expressive models.
Widely used short-ranged MLIPs can spuriously predict metallization in water due to missing long-range electrostatics, a flaw that can be fixed by including these interactions explicitly.
