Development of the RF-MEAM Interatomic Potential for the Fe-C System to Study the Temperature-Dependent Elastic Properties. [PDF]
Risal S +6 more
europepmc +1 more source
AN INTERATOMIC POTENTIAL FOR FULLERENES FROM THEIR VIBRATIONAL-SPECTRUM
The vibrational analysis of sp2-bonded carbon clusters with different nearest-neighbour interatomic distances, (2 in C60, 8 in C70), performed in the framework of the bond-charge model, leads to the determination of an exponential form for the short ...
G. BENEDEK +3 more
core +1 more source
Trace‐level Li pre‐doping on activated carbon cathodes is demonstrated to significantly enhance Li‐ion transport and high‐rate performance in lithium‐ion capacitors. An ultrathin Li2CO3 interfacial layer, formed through controlled thermal conversion, facilitates rapid ion transport without pore blockage.
Kyungmin Do +14 more
wiley +1 more source
Atomistic insights into adhesion characteristics of tungsten on titanium nitride using steered molecular dynamics with machine learning interatomic potential. [PDF]
Cho E +5 more
europepmc +1 more source
A 'magnetic' interatomic potential for molecular dynamics simulations
yWe develop a semi-empirical many-body interatomic potential suitable for large scale molecular dynamics simulations of magnetic a-iron. The functional form of the embedding part of the potential is derived using a combination of the Stoner and the ...
Dudarev, S. L., Derlet, P. M.
core +1 more source
Perovskite‐type oxide lanthanoid‐substituted BiCoO3 exhibits a reversible negative thermal expansion (NTE) originated from the coordination change from the CoO5 pyramid to the CoO6 octahedron due to melting of the dxy orbital ordering in the d6 electron configuration, and the 6.1% volume shrinkage in Bi0.82Nd0.18CoO3 is the largest ever observed in the
Yuki Sakai +10 more
wiley +1 more source
Universal machine learning potentials under pressure
Universal machine learning interatomic potentials (uMLIPs) represent arguably the most successful application of machine learning to materials science, demonstrating remarkable performance across diverse applications.
Antoine Loew +3 more
doaj +1 more source
Orientation‐Engineered Insulator‐Metal Transition in Vanadium Dioxide
Crystallographic orientation engineering in VO2/TiO2 heterostructures enables tunable insulator‐metal transitions. The high‐Miller‐index (102) orientation breaks in‐plane mirror symmetry, inducing anisotropic transport, while its inclined oxygen channels accelerate protonation kinetics.
Xuanchi Zhou +4 more
wiley +1 more source
AtomProNet: data flow to and from machine learning interatomic potentials in materials science
As the atomistic simulations of materials science move from traditional potentials to machine learning interatomic potential (MLIP), the field is entering the second phase, focused on discovering and explaining new material phenomena.
Musanna Galib +2 more
doaj +1 more source
Molecular Dynamics Simulations of PtTi High-Temperature Shape Memory Alloys Based on a Modified Embedded-Atom Method Interatomic Potential. [PDF]
Lee JS, Chun YB, Ko WS.
europepmc +1 more source

