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20112026
most citedStrategies to Improve the Energy Storage Properties of Perovskite Lead-Free Relaxor Ferroelectrics: A Review

187 citations

Showing physics.comp-phShow all

6 papers · 1 filter

physics.comp-ph2026★ 1 cited

AutoPot: Automated and massively parallelized construction of Machine-Learning Potentials

Max Hodapp, Guillaume Anciaux

Machine-learning potentials (MLIPs) have been a breakthrough for computational physics in bringing the accuracy of quantum mechanics to atomistic modeling. To achieve near-quantum…

physics.comp-ph2024★ 1 cited

Exact average many-body interatomic interaction model for random alloys

Max Hodapp

Understanding the physical origin of deformation mechanisms in random alloys requires an understanding of their average behavior and, equally important, the role of local fluctuati…

physics.comp-ph2023★ 8 cited

Automated atomistic simulations of dissociated dislocations with ab initio accuracy

Laura Mismetti, Max Hodapp

In (M Hodapp and A Shapeev 2020 Mach. Learn.: Sci. Technol. 1 045005), we have proposed an algorithm that fully automatically trains machine-learning interatomic potentials (MLIPs)…

physics.comp-ph2023★ 5 cited

Equivariant Tensor Network Potentials

Max Hodapp, Alexander Shapeev

Machine-learning interatomic potentials (MLIPs) have made a significant contribution to the recent progress in the fields of computational materials and chemistry due to the MLIPs'…

physics.comp-ph2021★ 1 cited

Efficient flexible boundary conditions for long dislocations

Max Hodapp

We present a novel efficient implementation of the flexible boundary condition (FBC) method, initially proposed by Sinclair et al., for large single-periodic problems. Efficiency i…

physics.comp-ph2015★ 47 cited

Thermal vacancies in random alloys in the single-site mean-field approximation

Andrei V. Ruban

A formalism for the vacancy formation energies in random alloys within the single-site mean-filed approximation, where vacancy-vacancy interaction is neglected, is outlined. It is…