works on

From the 1 of 16 linked papers with an AI index.

activity
20242026
collaborators

16 papers

cond-mat.mtrl-sci2026

Integrating moment tensor potentials with finite-element modeling for heat transfer prediction in FLiBe-based molten salt systems

Mikhail Polovinkin, Ksenia Abramova, Oksana Rahmanova +8

The paper presents a multiscale framework that combines machine‑learning‑trained atomistic potentials with finite‑element simulations to predict heat‑transfer performance of FLiBe‑…

physics.chem-ph2026

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…

cond-mat.mtrl-sci2026

Thermal Conductivity and Temperature-Induced Band Gap Renormalization in Crystalline and Amorphous GaO

Rustam Arabov, Jiaxuan Li, Xiaotong Chen +2

The lattice thermal conductivity (LTC) and electron-phonon interactions in crystalline and amorphous gallium oxide are herein determined by coupling a machine-learned interatomic p…

cond-mat.mtrl-sci2026

Roadmap on Advancements of the FHI-aims Software Package

Joseph W. Abbott, Carlos Mera Acosta, Alaa Akkoush +203

Electronic-structure theory is the foundation of the description of materials including multiscale modeling of their properties and functions. Obviously, without sufficient accurac…

cond-mat.mtrl-sci2026

Tuning Thermal Conductivity and Electron-Phonon Interactions in Carbon and Boron Nitride Moiré Diamanes via Twist Angle Manipulation

Rustam Arabov, Nikita Rybin, Victor Demin +4

We have investigated the effect of interlayer twist angle on lattice thermal conductivity (LTC) and band gap renormalization in boron nitride and carbon Moiré diamanes. Moment ten…

cond-mat.mtrl-sci2026

Machine-Learned Interatomic Potentials for Predicting Physicochemical Properties of Molten Metal-Salt Systems for Calcium Electrolysis

M. Polovinkin, N. Rybin, D. Maksimov +5

The design of efficient electrolysis devices for pure metal production requires accurate data on the properties of the melts used in the process. This work focuses on two key syste…