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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... -
Explicit demonstration of the equivalence between DFT+U and the Hartree-Fock ...
Several methods have been developed to improve the predictions of density functional theory (DFT) in the case of strongly correlated electron systems. Out of these approaches,... -
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.... -
Chirality measures for nanostructures
We survey the different definitions of chirality and the methods that have been devised to compute chirality metrics, with emphasis on the methods that became prevalent in... -
Locating guest molecules inside metal-organic framework pores with a multisca...
Molecular docking has traditionally mostly been employed in the field of protein-ligand binding. In the publication associated with this data, we extend this method, in... -
Do we really need machine learning interatomic potentials for modeling amorph...
In this study, we benchmarked various interatomic potentials and force fields in comparison to an ab initio dataset for bulk amorphous alumina. We investigated a comprehensive... -
Engineering host-guest interactions in organic framework materials for drug d...
Metal-organic frameworks (MOF) and covalent organic frameworks (COFs) are promising nanocarriers for targeted drug delivery. For their uptake and release, non-covalent... -
Automated computational workflows for muon spin spectroscopy
Muon spin rotation and relaxation spectroscopy is a powerful tool for studying magnetic materials, offering a local probe that complements scattering techniques and provides... -
Locating guest molecules inside metal-organic framework pores with a multisca...
Molecular docking has traditionally mostly been employed in the field of protein-ligand binding. In the publication associated with this data, we extend this method, in... -
Dataset of self-consistent Hubbard parameters for Ni, Mn and Fe from linear-r...
Density-functional theory with extended Hubbard functionals (DFT+U+V) provides a robust framework to accurately describe complex materials containing transition-metal or... -
Dataset of self-consistent Hubbard parameters for Ni, Mn and Fe from linear-r...
Density-functional theory with extended Hubbard functionals (DFT+U+V) provides a robust framework to accurately describe complex materials containing transition-metal or... -
DFT calculations of surface binding and interstitial hydrogen formation energ...
This dataset contains the results of density functional theory (DFT) calculations performed using Quantum ESPRESSO to study surface binding energies (SBE) and the formation... -
Synergistic effects in low-temperature CO oxidation on cerium oxide surfaces
The mechanisms underlying the reaction between carbon monoxide (CO) and activated dioxygen on metal oxide substrates to produce CO₂ remain poorly understood, particularly... -
Analysis of bootstrap and subsampling in high-dimensional regularized regress...
We investigate popular resampling methods for estimating the uncertainty of statistical models, such as subsampling, bootstrap and the jackknife, and their performance in...