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Is there a polaron signature in angle-resolved photoemission of CsPbBr₃?
The formation of large polarons has been proposed as reason for the high defect tolerance, low mobility, low charge carrier trapping and low nonradiative recombination rates of... -
Adsorbate chemical environment-based machine learning framework for heterogen...
Heterogeneous catalytic reactions are influenced by a subtle interplay of atomic-scale factors, ranging from the catalysts’ local morphology to the presence of high adsorbate... -
Superconductivity in antiperovskites
We present a comprehensive theoretical study of conventional superconductivity in cubic antiperovskites materials with composition XYZ₃ where X and Z are metals and Y is H, B,... -
Accelerating the theoretical study of Li-polysulphide adsorption on single-at...
Li–S batteries are a promising alternative to Li-ion batteries, offering large energy storage capacity and wide operating temperature range. However, their performance is... -
Accelerating the theoretical study of Li-polysulphide adsorption on single-at...
Li–S batteries are a promising alternative to Li-ion batteries, offering large energy storage capacity and wide operating temperature range. However, their performance is... -
High-mobility semiconducting polymers with different spin ground states
Organic semiconductors with high-spin ground states are fascinating because they could enable fundamental understanding on the spin-related phenomenon in light element and... -
E(3)-equivariant graph neural networks for data-efficient and accurate intera...
This work presents Neural Equivariant Interatomic Potentials (NequIP), an E(3)-equivariant neural network approach for learning interatomic potentials from ab-initio... -
A unified Green's function approach for spectral and thermodynamic properties...
Data for journal article. We provide the input and outputs of the AGWX suite (see article) used in the work. Also, we add the plots of the obtained Green's function for all... -
A microscopic picture of paraelectric perovskites from structural prototypes
This work details how to determine structural prototypes for the cubic perovskite structure that are used to study the B-site displacements in the cubic, paraelectric phase.... -
One-shot approach for enforcing piecewise linearity on hybrid functionals: ap...
We present an efficient procedure for constructing nonempirical hybrid functionals to accurately predict band gaps of extended systems. We determine mixing parameters by... -
A microscopic picture of paraelectric perovskites from structural prototypes
This work details how to determine structural prototypes for the cubic perovskite structure that are used to study the B-site displacements in the cubic, paraelectric phase.... -
Unified theory of atom-centered representations and message-passing machine-l...
Data-driven schemes that associate molecular and crystal structures with their microscopic properties share the need for a concise, effective description of the arrangement of... -
Optimizing the thermodynamics and kinetics of the triplet-pair dissociation i...
Singlet fission (SF) is a two-step process in which a singlet splits into two triplets throughout the so-called correlated triplet-pair (1TT) state. Intramolecular SF (iSF)... -
Aluminum alloy compositions and properties extracted from a corpus of scienti...
Researchers continue to explore and develop aluminum alloys with new compositions and improved performance characteristics. An understanding of the current design space can help... -
Aluminum alloy compositions and properties extracted from a corpus of scienti...
Researchers continue to explore and develop aluminum alloys with new compositions and improved performance characteristics. An understanding of the current design space can help... -
Machine learning for metallurgy: neural network potentials for Al-Cu-Mg and A...
Most metallurgical properties, e.g., dislocation propagation, precipitate formation, can only be fully understood atomistically but most phenomena and quantities of interest... -
Machine learning for metallurgy: a neural network potential for Al-Cu-Mg
High-strength metal alloys achieve their performance via careful control of precipitates and solutes. The nucleation, growth, and kinetics of precipitation, and the resulting... -
Materials Cloud three-dimensional crystals database (MC3D)
The Materials Cloud three-dimensional database is a curated set of relaxed three-dimensional crystal structures based on raw CIF data taken from the external experimental... -
High-throughput calculation of interlayer van der Waals force validated with ...
Interlayer binding strength is an important property of two-dimensional (2D) materials in various occasions including exfoliation and heterostructure construction. Though there... -
On the effects of the degrees of freedom on calculating diffusion properties ...
If one carries out a molecular simulation of N particles using periodic boundary conditions, linear momentum is conserved and hence the number of degrees of freedom is set to...