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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... -
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.... -
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... -
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... -
Crystal structure validation of verinurad via proton-detected ultra-fast MAS ...
The recent development of ultra-fast MAS (>100 kHz) provides new opportunities for structural characterization in solids. Here we use NMR crystallography to validate the... -
Density functional perturbation theory for one-dimensional systems: implement...
The electronic and vibrational properties and electron-phonon couplings of one-dimensional materials will be key to many prospective applications in nanotechnology.... -
Deterministic grayscale nanotopography to engineer mobilities in strained MoS...
Field-effect transistors (FETs) based on two-dimensional materials (2DMs) with atomically thin channels have emerged as a promising platform for beyond-silicon electronics.... -
Disorder-resilient transition of Helical to Conical ground states in M<sub>1/...
The discovery of chiral helical magnetism (CHM) in Cr1/3NbS2 and the stabilization of a chiral soliton lattice (CSL) has attracted considerable interest in view of their... -
Quasiparticle interference on the surface of Bi<sub>2</sub>Se<sub>3</sub> ter...
Among the family of topological superconductors derived from Bi2Se3, Cux(PbSe)5(Bi2Se3)6 is unique in its surface termination of a single quintuple layer (QL) of the topological...