activity
20062026
most citedImpact of lattice relaxations on phase transitions in a high-entropy alloy studied by machine-learning potentials

213 citations · 570 across the 10 of their papers we have counts for

collaborators

10 papers

cs.AI2026

An Ontology for Machine Learning Interatomic Potentials

Daniel Hernández, Jong Hyun Jung, Yuji Ikeda +11

Machine learning interatomic potentials (MLIPs) approximate quantum-mechanical energies and forces---conventionally computed by density functional theory (DFT) or wave-function met…

cond-mat.mtrl-sci2025★ 3 cited

Hydrogen diffusion in TiCrH Laves phases: A combined ab initio and machine-learning-potential study

Pranav Kumar, Fritz Körmann, Kaveh Edalati +2

The kinetics of hydrogen diffusion in C15 cubic and C14 hexagonal TiCrH (0 < <= 4) Laves-phase hydrogen storage alloys is investigated with density functional theory (D…

cond-mat.mtrl-sci2023★ 4 cited

Machine learning-enabled tomographic imaging of chemical short-range atomic ordering

Yue Li, Timoteo Colnaghi, Yilun Gong +13

In solids, chemical short-range order (CSRO) refers to the self-organisation of atoms of certain species occupying specific crystal sites. CSRO is increasingly being envisaged as a…

physics.atom-ph2020★ 1 cited

Magnetic Moment Tensor Potentials for collinear spin-polarized materials reproduce different magnetic states of bcc Fe

Ivan Novikov, Blazej Grabowski, Fritz Kormann +1

We present the magnetic Moment Tensor Potentials (mMTPs), a class of machine-learning interatomic potentials, accurately reproducing both vibrational and magnetic degrees of freedo…

cond-mat.mtrl-sci2019★ 127 cited

Ab initio vibrational free energies including anharmonicity for multicomponent alloys

Blazej Grabowski, Yuji Ikeda, Fritz Körmann +4

A density-functional-theory based approach to efficiently compute numerically exact vibrational free energies - including anharmonicity - for chemically complex multicomponent allo…

cond-mat.mtrl-sci2018★ 213 cited

Impact of lattice relaxations on phase transitions in a high-entropy alloy studied by machine-learning potentials

Tatiana Kostiuchenko, Fritz Körmann, Jörg Neugebauer +1

Recently, high-entropy alloys (HEAs) have attracted wide attention due to their extraordinary materials properties. A main challenge in identifying new HEAs is the lack of efficien…

cond-mat.mtrl-sci2018★ 77 cited

Anomalous phonon lifetime shortening in paramagnetic CrN caused by magneto-lattice coupling: A combined spin and ab initio molecular dynamics study

Irina Stockem, Anders Bergman, Albert Glensk +5

We study the mutual coupling of spin fluctuations and lattice vibrations in paramagnetic CrN by combining atomistic spin dynamics and ab initio molecular dynamics. The two degrees…

cond-mat.mtrl-sci2017★ 22 cited

Temperature-dependent phonon spectra of magnetic random solid solutions

Yuji Ikeda, Fritz Körmann, Biswanath Dutta +4

A first-principles-based method for computing phonons of magnetic random solid solutions including thermal magnetic fluctuations is developed. The method takes fluctuations of forc…

cond-mat.mtrl-sci2014★ 120 cited

Structural stability and thermodynamics of CrN magnetic phases from ab initio and experiment

Liangcai Zhou, David Holec, Matthias Bartosik +4

The dynamical and thermodynamic phase stabilities of the stoichiometric compound CrN including different structural and magnetic configurations are comprehensively investigated usi…

cond-mat.str-el2006★ 3 cited

A new type of temperature driven reorientation transition in magnetic thin films

F. Koermann, S. Schwieger, J. Kienert +1

We present a new type of temperature driven spin reorientation transition (SRT) in thin films. It can occur when the lattice and the shape anisotropy favor different easy direction…