LAMMPS-a flexible simulation tool for particle-based materials modeling at the atomic, meso, and continuum scales

AP Thompson, HM Aktulga, R Berger… - Computer Physics …, 2022 - Elsevier
Since the classical molecular dynamics simulator LAMMPS was released as an open source
code in 2004, it has become a widely-used tool for particle-based modeling of materials at …

Roadmap on multiscale materials modeling

E Van Der Giessen, PA Schultz, N Bertin… - … and Simulation in …, 2020 - iopscience.iop.org
Modeling and simulation is transforming modern materials science, becoming an important
tool for the discovery of new materials and material phenomena, for gaining insight into the …

Ab initio Boltzmann approach to coupled magnon-phonon thermal transport in ferromagnetic crystals

H Pan, ZK Ding, BW Zeng, NN Luo, J Zeng, LM Tang… - Physical Review B, 2023 - APS
We propose an ab initio Boltzmann transport approach taking into account magnon-phonon
scattering (MPS) and three-phonon scattering simultaneously to accurately evaluate the …

Magnetic Ionic Liquids: Current Achievements and Future Perspectives with a Focus on Computational Approaches

NM Figueiredo, IV Voroshylova, ESC Ferreira… - Chemical …, 2024 - ACS Publications
Magnetic ionic liquids (MILs) stand out as a remarkable subclass of ionic liquids (ILs),
combining the desirable features of traditional ILs with the unique ability to respond to …

Atomic cluster expansion of scalar, vectorial, and tensorial properties including magnetism and charge transfer

R Drautz - Physical Review B, 2020 - APS
The atomic cluster expansion [R. Drautz, Phys. Rev. B 99, 014104 (2019) 2469-9950
10.1103/PhysRevB. 99.014104] is extended in two ways, the modeling of vectorial and …

Electric and antiferromagnetic chiral textures at multiferroic domain walls

JY Chauleau, T Chirac, S Fusil, V Garcia, W Akhtar… - Nature materials, 2020 - nature.com
Chirality, a foundational concept throughout science, may arise at ferromagnetic domain
walls and in related objects such as skyrmions. However, chiral textures should also exist in …

Multi-fidelity machine-learning with uncertainty quantification and Bayesian optimization for materials design: Application to ternary random alloys

A Tran, J Tranchida, T Wildey… - The Journal of Chemical …, 2020 - pubs.aip.org
We present a scale-bridging approach based on a multi-fidelity (MF) machine-learning (ML)
framework leveraging Gaussian processes (GP) to fuse atomistic computational model …

Angular-dependent interatomic potential for large-scale atomistic simulation of iron: Development and comprehensive comparison with existing interatomic models

S Starikov, D Smirnova, T Pradhan, Y Lysogorskiy… - Physical Review …, 2021 - APS
The development of classical interatomic potential for iron is a quite demanding task with a
long history background. A new interatomic potential for simulation of iron was created with …

Non-collinear magnetic atomic cluster expansion for iron

M Rinaldi, M Mrovec, A Bochkarev… - npj Computational …, 2024 - nature.com
Abstract The Atomic Cluster Expansion (ACE) provides a formally complete basis for the
local atomic environment. ACE is not limited to representing energies as a function of atomic …

Base Elements for Artificial Neural Network: Structure Modeling, Production, Properties

A SIDORENCO, NV KLENOV, II SOLOVIEV… - Circuits, Systems and …, 2023 - cris.utm.md
A radical reduction in power consumption is becoming an important task in the development
of supercomputers. Artificial neural networks (ANNs) based on superconducting elements of …