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AMaRaNTA: automated first-principles exchange parameters in 2D magnets [Results]
<p>AMaRaNTA stands for <strong>A</strong>utomating <strong>M</strong>agnetic pa<strong>RA</strong>meters... -
Multiband anisotropic superconductivity in 2H-NbSe2 revealed by ab-initio Koh...
<p dir="auto">This dataset contains the minimal set of AiiDA calculations supporting the results presented in the paper <em>"Multiband Anisotropic Superconductivity... -
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... -
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... -
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... -
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... -
Score-based diffusion models for accurate crystal-structure inpainting and re...
<p>Generative AI models, such as score-based diffusion models, have recently advanced the field of computational materials science by enabling the generation of new... -
Benchmarking the plasmon-pole and multipole approximations in the Yambo Code ...
<p>In this work we provide the results for ionization potential (IP) and electron affinity (EA) of all the 100 molecules of the set, as computed at the G0W0 level within... -
Robust Wannierization including magnetization and spin-orbit coupling via pro...
<div>Maximally-localized Wannier functions (MLWFs) are widely employed as an essential tool for calculating the physical properties of materials due to their localized... -
MC3D: The Materials Cloud computational database of experimentally known stoi...
<p dir="ltr">Density functional theory (DFT) is a widely used method to compute properties of materials, which are often collected in databases and serve as valuable... -
Automated training of neural-network interatomic potentials
<p>Neural-network interatomic potentials (NNIPs) have transformed atomistic simulations, by enabling molecular dynamics simulations with near <em>ab... -
Reproducible HPC software deployments, simulations and workflows
Reproducibility in running scientific simulations on high-performance computing (HPC) environments is a persistent challenge due to variations in software and hardware stacks.... -
A Standard Solid State Pseudopotentials (SSSP) library optimized for precisio...
Despite the enormous success and popularity of density functional theory, systematic verification and validation studies are still very limited both in number and scope. Here,... -
A Standard Solid State Pseudopotentials (SSSP) library optimized for precisio...
Despite the enormous success and popularity of density functional theory, systematic verification and validation studies are still very limited both in number and scope. Here,... -
A Standard Solid State Pseudopotentials (SSSP) library optimized for precisio...
Despite the enormous success and popularity of density functional theory, systematic verification and validation studies are still very limited both in number and scope. Here,... -
A Standard Solid State Pseudopotentials (SSSP) library optimized for precisio...
Despite the enormous success and popularity of density functional theory, systematic verification and validation studies are still very limited both in number and scope. Here,... -
Building a consistent and reproducible database for adsorption evaluation in ...
We present a workflow that traces the path from the bulk structure of a crystalline material to assessing its performance in carbon capture from coal's postcombustion flue... -
Building a consistent and reproducible database for adsorption evaluation in ...
We present a workflow that traces the path from the bulk structure of a crystalline material to assessing its performance in carbon capture from coal's postcombustion flue... -
Building a consistent and reproducible database for adsorption evaluation in ...
We present a workflow that traces the path from the bulk structure of a crystalline material to assessing its performance in carbon capture from coal's postcombustion flue... -
Building a consistent and reproducible database for adsorption evaluation in ...
We present a workflow that traces the path from the bulk structure of a crystalline material to assessing its performance in carbon capture from coal's postcombustion flue...
