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Non-perturbative self-consistent electron-phonon spectral functions and trans...
This file contains all the data, as well as the code necessary to reproduce the results of Jae-Mo Lihm and Samuel Ponce, "Non-perturbative self-consistent electron-phonon... -
Effects of spin-orbit coupling and thermal expansion on the phonon-limited re...
Using density functional theory calculations with spin-orbit coupling (SOC), we report on the temperature-dependent thermodynamical properties of Pb: electrical resistivity,... -
Understanding the origin of superconducting dome in electron-doped MoS₂ monol...
We investigate the superconducting properties of molybdenum disulphide (MoS₂) monolayer across a broad doping range, successfully recreating the so far unresolved... -
First-principles electron-phonon interactions and polarons in the parent cupr...
Understanding electronic interactions in high-temperature superconductors is an outstanding challenge. In the widely studied cuprate materials, experimental evidence points to... -
Magnons from time-dependent density-functional perturbation theory and nonemp...
Spin excitations play a fundamental role in understanding magnetic properties of materials, and have significant technological implications for magnonic devices. However,... -
Oxidation of interfacial cobalt controls the pH-dependence of the oxygen evol...
Transition metal oxides (e.g., cobalt oxides) often undergo a dynamic surface reconstruction under oxygen evolution reaction (OER) conditions to form the active state, which... -
Sustainable approach to zeolite agglomeration for petroleum spill management ...
This study proposes an eco-friendly approach to zeolite agglomeration for petroleum sorbents. The novelty lies in integrating agglomeration and deagglomeration within a single... -
Resolving the solvation structure and transport properties of aqueous zinc el...
This database contains the neural network potential (NNP) model and training data for aqueous ZnCl₂ solutions from 1 m to 30 m. The NNP model can be used to compute total... -
Enhanced catalytic performance towards CO oxidation of broccoli-like Ceria mi...
The process of catalytically oxidizing carbon monoxide (CO) remains a critical issue across various industrial sectors. However, it continues to be a challenge to achieve... -
From operando investigations to implementation of Ni-MOF-74 oxygen evolution ...
Metal-organic frameworks (MOFs) as electrocatalysts for the alkaline oxygen evolution reaction (OER) show promising catalytic activity by offering great variability and high... -
Charting the landscape of Bardeen-Cooper-Schrieffer superconductors in experi...
We perform a high-throughput computational search for novel phonon-mediated superconductors, starting from the Materials Cloud 3-dimensional database (MC3D) of experimentally... -
Hydroxylation-driven surface reconstruction at the origin of compressive-to-t...
Experiments reveal negative (non-Laplacian) surface stresses in metal oxide nanoparticles, partly associated with humidity during fabrication and annealing. Using a neural... -
Machine learning on multiple topological materials datasets
A dataset of 35,608 materials with their topological properties is constructed by combining the density functional theory (DFT) results of Materiae and the Topological Materials... -
Dataset of Charpy V-notch impact test records of nuclear structural materials
The dataset contains records of Charpy V-notch impact tests of nuclear structural materials. The focus is on studying the influence of specimen dimensions and geometry on Charpy... -
<sup>187</sup>Os nuclear resonance scattering to explore hyperfine interactio...
Osmium complexes with osmium in different oxidation states (II, III, IV, VI) have been reported to exhibit antiproliferative activity in cancer cell lines. Herein, we... -
Machine learning on multiple topological materials datasets
A dataset of 35,608 materials with their topological properties is constructed by combining the density functional theory (DFT) results of Materiae and the Topological Materials... -
Constructing multicomponent cluster expansions with machine-learning and chem...
Cluster expansions are commonly employed as surrogate models to link the electronic structure of an alloy to its finite-temperature properties. Using cluster expansions to model... -
First-principles Hubbard parameters with automated and reproducible workflows
We introduce an automated, flexible framework (aiida-hubbard) to self-consistently calculate Hubbard U and V parameters from first-principles. By leveraging density-functional... -
Density functional Bogoliubov-de Gennes theory for superconductors implemente...
We present SIESTA-BdG, an implementation of the simultaneous solution of the Bogoliubov-de Gennes (BdG) and Density Functional Theory (DFT) problem in SIESTA, a first-principles... -
Probing atomic-scale processes at the ferrihydrite-water interface with react...
Interfacial processes involving metal (oxyhydr)oxide phases are important for the mobility and bioavailability of nutrients and contaminants in soils, sediments, and water....