activity
20212026
most citedRoadmap on Advancements of the FHI-aims Software Package

8 citations · 15 across the 20 of their papers we have counts for

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10 papers · 1 filter

cond-mat.mtrl-sci2025

Towards superior van der Waals density functionals for molecular crystals

Dmitry V. Fedorov, Nikita E. Rybin, Mikhail A. Averyanov +3

Ubiquitous van der Waals (vdW) interactions play a subtle yet crucial role in determining the precise atomic arrangements in solids, particularly in molecular crystals where these…

physics.chem-ph2025

Active learning and explicit electrostatics enable accurate modeling of electrolytes

Olga Chalykh, Mikhail Polovinkin, Dmitry Korogod +2

Machine learning interatomic potentials (MLIPs) offer near-\textit{ab initio} accuracy with the efficiency of classical force fields, making them attractive for modeling electrolyt…

physics.chem-ph2025

Incorporating Coulomb interactions with fixed charges in Moment Tensor Potentials and Equivariant Tensor Network Potentials

Dmitry Korogod, Olga Chalykh, Max Hodapp +3

In this work, we incorporate long-range electrostatic interactions in the form of the Coulomb model with fixed charges into the functional form of short-range machine-learning inte…

physics.chem-ph2025

Low-rank matrix and tensor approximations for compression of machine-learning interatomic potentials

Igor Vorotnikov, Fedor Romashov, Nikita Rybin +2

Machine-learning interatomic potentials (MLIPs) have become a mainstay in computationally-guided materials science, surpassing traditional force fields due to their flexible functi…

cond-mat.mtrl-sci2025

Efficient Band Structure Unfolding with Atom-centered Orbitals: General Theory and Application

Jingkai Quan, Nikita Rybin, Matthias Scheffler +1

Band structure unfolding is a key technique for analyzing and simplifying the electronic band structure of large, internally distorted supercells that break the primitive cell's tr…

cond-mat.mtrl-sci20251 cited

Path-integral molecular dynamics with actively-trained and universal machine learning force fields

A. A. Solovykh, N. E. Rybin, I. S. Novikov +1

Accounting for nuclear quantum effects (NQEs) can significantly alter material properties at finite temperatures. Atomic modeling using the path-integral molecular dynamics (PIMD)…