Results 121 to 130 of about 8,521,646 (245)

AN INTERATOMIC POTENTIAL FOR FULLERENES FROM THEIR VIBRATIONAL-SPECTRUM

open access: yes, 1993
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 Li Pre‐Doping of Activated Carbon Cathode Enabling Accelerated Li‐Ion Transport for High‐Power Lithium‐Ion Capacitors

open access: yesAdvanced Science, EarlyView.
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

A 'magnetic' interatomic potential for molecular dynamics simulations

open access: yes
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

6.1% Volumetric Negative Thermal Expansion Induced by the Reversible Reconstructive Phase Transition in Pb‐Free Bi1−xLnxCoO3 (Ln: Lanthanoid)

open access: yesAdvanced Science, EarlyView.
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

open access: yesJPhys Materials
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

open access: yesAdvanced Science, EarlyView.
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

open access: yesMachine Learning: Science and Technology
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

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