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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... -
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 post-combustion flue... -
Gas adsorption and process performance data for MOFs
Reticular chemistry provides materials designers with a practically infinite playground on different length scales. However, the space of all plausible materials for a given... -
Common workflows for computing material properties using different quantum en...
The prediction of material properties through electronic-structure simulations based on density-functional theory has become routinely common, thanks, in part, to the steady... -
Common workflows for computing material properties using different quantum en...
The prediction of material properties through electronic-structure simulations based on density-functional theory has become routinely common, thanks, in part, to the steady... -
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... -
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... -
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... -
General invariance and equilibrium conditions for lattice dynamics in 1D, 2D,...
The long-wavelength behavior of vibrational modes plays a central role in carrier transport, phonon-assisted optical properties, superconductivity, and thermomechanical and... -
Benchmarking the GW100 dataset with the Yambo code by means of G₀W₀ approxima...
In this work we provide the results for IP and EA of all the 100 molecules of the set as computed within the Yambo code. In this way, we enlarge the GW100 benchmark considering... -
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.... -
Towards high-throughput many-body perturbation theory: efficient algorithms a...
The automation of ab initio simulations is essential in view of performing high-throughput (HT) computational screenings oriented to the discovery of novel materials with... -
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... -
Robust Wannierization including magnetization and spin-orbit coupling via pro...
<div> <div>Maximally-localized Wannier functions (MLWFs) are widely employed as an essential tool for calculating the physical properties of materials due to...
