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A nanotwinned-alloy strategy enables fast sodium deposition dynamics
Sodium (Na) metal batteries are considered promising solutions for next-generation electrochemical energy storage because of their low costs and high energy densities. However,... -
Triple-interlocked-nanotwinned bulk magnesium alloys with exceptional strengt...
<p><span lang="EN-GB">Nanoscale twin boundaries (TBs) effectively restrict the free motion of dislocations by intersecting with other TBs to realize high... -
Multiferroicity and 180° magnetization switching in LaFeO3 via antisite defects
<p>Materials exhibiting coexisting and coupled ferroelectric and magnetic orders are rare. Here we show, using density functional theory calculations, that introducing... -
Defects, corrugation and temperature govern rarefied-air drag on graphene coa...
<p>In rarefied atmospheric environments, where continuum fluid dynamics breaks down, aerodynamic drag is governed by gas–surface momentum exchange, making surface... -
Rototranslational sum rules for nuclear dynamics via traveling pseudopotentials
<p>We establish a set of exact sum rules that relate the interatomic force constants to the frequency-dependent electromagnetic susceptibility of a solid or molecule,... -
High-throughput screening for solid-state Li-ion conductors combining machine...
<p>We present a high-throughput computational screening for fast lithium-ion conductors aimed at identifying candidate materials for application in all-solid-state... -
Comparing Hubbard parameters from linear-response theory and a Hartree-Fock-b...
<p>Density-functional theory with on-site U and inter-site V Hubbard corrections (DFT+U+V) is widely used to predict properties of transition-metal and rare-earth... -
Elastic constants and bending rigidities from long-wavelength perturbation ex...
Mechanical and elastic properties of materials are among the most fundamental quantities for many engineering and industrial applications. Here, we present an efficient and... -
One dimensional edge localized YSR states in CrCl₃ on NbSe₂
Magnet/superconductor hybrid systems have been put forward as a platform for realizing topological superconductivity. We investigated the heterostructure of ferromagnetic... -
Reproducible orchestration of best practices for reaction path optimization w...
<p>The nudged elastic band (NEB) method is the standard approach for finding minimum energy paths and transition states on potential energy surfaces. Practical NEB... -
Dataset for Energy level alignment of vacancy-ordered halide double perovskites
<p>Vacancy-ordered double perovskites have emerged as lead-free alternatives, offering remarkable stability and compositional tunability for optoelectronic applications.... -
Ab initio study of strain and quantum confinement shaping the valence-band st...
<p>Germanium–silicon–germanium (Ge/Si<sub>x</sub>Ge<sub>1-x</sub>) heterostructures have emerged as a prominent platform for... -
Bayesian optimization with Gaussian processes to accelerate stationary point ...
<p>Accelerating the explorations of stationary points on potential energy surfaces building local surrogates spans decades of effort. Done correctly, surrogates reduce... -
Molecular dynamics insights into the shear-induced orientation and interfacia...
<p>This is a summary of previous work, presenting a simulation dataset for the interactions between functionalized/unfunctionalized carbon nanomaterials and PVA. The... -
Exploring charge density waves in two-dimensional NbSe2 with machine learning
<p>Niobium diselenide (NbSe<sub>2</sub>) has garnered significant attention due to the coexistence of superconductivity and charge density waves (CDWs) down to... -
A kinetic Monte Carlo dataset of monoatomic step roughening for deep generati...
<p>Deep Generative models have shown impressive capabilities in several applications, e.g., image, video, and audio synthesis. Importantly, they can infer probability... -
A FEM dataset of Ge film profiles and elastic energies for machine learning a...
Machine Learning (ML) can be conveniently applied to continuum materials simulations, allowing for the investigation of larger systems and longer timescales, pushing the limits... -
AiiDA-TrainsPot: Towards automated training of neural-network interatomic pot...
<p>Crafting neural-network interatomic potentials (NNIPs) remains a complex task, demanding specialized expertise in both machine learning and electronic-structure... -
Towards a unified first-principles-based description of VO2 using DFT+DMFT wi...
<p>We present a combined density-functional theory and dynamical mean-field theory (DFT+DMFT) study of the full structural phase space of rutile-based vanadium dioxide... -
Incorporating static intersite correlation effects in vanadium dioxide throug...
We analyze the effects on the structural and electronic properties of vanadium dioxide (VO₂) of adding an empirical inter-atomic potential within the density-functional theory+V...
