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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,... -
In Silico Design of 2D and 3D Covalent Organic Frameworks for Methane Storage...
Here we present 69,840 covalent organic frameworks (COFs) assembled in silico from a set of 666 distinct organic linkers into 2D-layered and 3D configurations. We investigate... -
In Silico Design of 2D and 3D Covalent Organic Frameworks for Methane Storage...
Here we present 69,840 covalent organic frameworks (COFs) assembled in silico from a set of 666 distinct organic linkers into 2D-layered and 3D configurations. We investigate... -
In Silico Design of 2D and 3D Covalent Organic Frameworks for Methane Storage...
Here we present 69,840 covalent organic frameworks (COFs) assembled in silico from a set of 666 distinct organic linkers into 2D-layered and 3D configurations. We investigate... -
The Materials Cloud 2D database (MC2D)
Two-dimensional (2D) materials are among the most promising candidates for beyond silicon electronic and optoelectronic applications. Recently, their recognized importance,... -
High-throughput computational screening of nanoporous adsorbents for CO 2 cap...
With the growth of natural gas as an energy source, upgrading CO2-contaminated supplies has become increasingly important. Here we develop a single metric that captures how well... -
High-throughput computational screening of nanoporous adsorbents for CO 2 cap...
With the growth of natural gas as an energy source, upgrading CO2-contaminated supplies has become increasingly important. Here we develop a single metric that captures how well... -
Large-scale machine-learning-assisted exploration of the whole materials space
Crystal-graph attention networks have emerged recently as remarkable tools for the prediction of thermodynamic stability and materials properties from unrelaxed crystal... -
Two-dimensional materials from high-throughput computational exfoliation of ...
Two-dimensional (2D) materials have emerged as promising candidates for next-generation electronic and optoelectronic applications. Yet, only a few dozens of 2D materials have... -
Two-dimensional materials from high-throughput computational exfoliation of ...
Two-dimensional (2D) materials have emerged as promising candidates for next-generation electronic and optoelectronic applications. Yet, only a few dozens of 2D materials have... -
Two-dimensional materials from high-throughput computational exfoliation of ...
Two-dimensional (2D) materials have emerged as promising candidates for next-generation electronic and optoelectronic applications. Yet, only a few dozens of 2D materials have... -
Two-dimensional materials from high-throughput computational exfoliation of e...
Two-dimensional (2D) materials have emerged as promising candidates for next-generation electronic and optoelectronic applications. Yet, only a few dozens of 2D materials have... -
Two-dimensional materials from high-throughput computational exfoliation of e...
Two-dimensional (2D) materials have emerged as promising candidates for next-generation electronic and optoelectronic applications. Yet, only a few dozens of 2D materials have... -
High-throughput dataset of impurity adsorption on common catalysts in biomass...
An extensive dataset consisting of adsorption energies of pernicious impurities present in biomass upgrading processes on common catalysts and support materials has been... -
High-throughput dataset of impurity adsorption on common catalysts in biomass...
An extensive dataset consisting of adsorption energies of pernicious impurities present in biomass upgrading processes on common catalysts and support materials has been... -
The energy landscape of magnetic materials
Magnetic materials can display many solutions to the electronic-structure problem, corresponding to different local or global minima of the energy functional. In Hartree-Fock or... -
Computational synthesis of substrates by crystal cleavage
In order to identify novel substrate materials, we developed a high-throughput bond breaking algorithm. This algorithm takes a three-dimensional crystal as input, systematically... -
In silico design of three-dimensional porous covalent organic frameworks via ...
Covalent organic frameworks (COFs) are a class of advanced nanoporous polymeric materials which combine the crystallinity of metal–organic frameworks (MOFs) with the stability... -
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...
