Dynamic interaction between dislocations and obstacles in bcc iron based on atomic potentials derived using neural networks

H Mori, T Tsuru, M Okumura, D Matsunaka… - Physical Review …, 2023 - APS
The introduction of obstacles (eg, precipitates) for controlling dislocation motion in molecular
structures is a prevalent method for designing the mechanical strength of metals. Owing to …

Machine learning search for stable binary Sn alloys with Na, Ca, Cu, Pd, and Ag

A Thorn, D Gochitashvili, S Kharabadze… - Physical Chemistry …, 2023 - pubs.rsc.org
We present our findings of a large-scale screening for new synthesizable materials in five M–
Sn binaries, M= Na, Ca, Cu, Pd, and Ag. The focus on these systems was motivated by the …

Efficient moment tensor machine-learning interatomic potential for accurate description of defects in Ni-Al Alloys

J Wang, P Liu, H Zhu, M Liu, H Ma, Y Chen… - arXiv preprint arXiv …, 2024 - arxiv.org
Combining the efficiency of semi-empirical potentials with the accuracy of quantum
mechanical methods, machine-learning interatomic potentials (MLIPs) have significantly …

Spline-based neural network interatomic potentials: Blending classical and machine learning models

JA Vita, DR Trinkle - Computational Materials Science, 2024 - Elsevier
While machine learning (ML) interatomic potentials (IPs) are able to achieve accuracies
nearing the level of noise inherent in the first-principles data to which they are trained, it …

Diffuse scattering from dynamically compressed single-crystal zirconium following the pressure-induced phase transition

PG Heighway, S Singh, MG Gorman, D McGonegle… - Physical Review B, 2024 - APS
The prototypical α→ ω phase transition in zirconium is an ideal test bed for our
understanding of polymorphism under extreme loading conditions. After half a century of …

Material deformation mechanism of polycrystalline tin in nanometric cutting

Z Xue, M Lai, F Xu, F Fang - Journal of Manufacturing Processes, 2024 - Elsevier
The surface generation and subsurface deformation mechanisms of polycrystalline tin in
nanometric cutting are investigated using molecular dynamics. Subsurface deformations …

Nanometric cutting of plasma modified polycrystalline tin

P Lyu, F Fang, D Meyer - CIRP Annals, 2024 - Elsevier
Soft and low-melting-point polycrystalline tin holds considerable promise in the field of
advanced lithography. However, its machinability is significantly hindered by the grain size …

Development of a multi-element neural network modified lattice inversion potential and application to the Ta-He system

F Wu, X Duan, Z Wang, Y Wen, R Chen… - Computational Materials …, 2024 - Elsevier
Under extended radiation exposure and elevated temperatures, helium (He) accumulation
can compromise the integrity of Tantalum (Ta), a material showing substantial promise for …

Neural network interatomic potential-driven analysis of phase stability in Ti–V alloys at the atomistic scale

MS Nitol, DE Dickel, SJ Fensin - Materials Today Communications, 2024 - Elsevier
The evolution of the ω phase in titanium–vanadium (Ti–V) alloys is critical for their
mechanical properties, particularly in aerospace and biomedical applications. This study …

Strain rate-dependent tensile deformation and failure behavior in single-crystal -Sn

T Yu, Y Yan, F Xuan - Modern Physics Letters B, 2024 - World Scientific
Given that electronic components often undergo intricate thermal and mechanical loads
during operation, comprehensively understanding lead-free solder, particularly solder based …