Discover curated data sets
Curated research data sets with tailored visualizations maintained by the Materials Cloud team.
Description: Curated set of relaxed three-dimensional crystal structures based on raw CIF data from the experimental databases MPDS, COD, and ICSD.
Materials Cloud two-dimensional crystals database (MC2D) DOI 10.24435/materialscloud:az-b2 DOI 10.24435/materialscloud:36-nd
Description: Results from screening known 3D crystal structures finding those that can be computationally exfoliated, producing 2D materials candidates.
Description: A Standard Solid State Pseudopotentials (SSSP) library optimized for precision or efficiency.
Description: Reference and verification datasets of equations of state calculated with
different density-functional-theory (DFT) codes and computational approaches,
using the AiiDA common workflows (ACWF) infrastructure.
Contributed Discover sections
The apps below have been contributed and are maintained by authors affiliated with the Materials Cloud partners.
Description: Interactive tool for the exploration of the vibrational spectra
of 5k molecules and their applications in surface-enhanced spectroscopies (IR, Raman, SFG).
Description: Screening of 2944 conjugated donor-acceptor dimers for intramolecular singlet fission behavior.
Description: Atomic structures of experimentally synthesized pyrene-based metal-organic frameworks.
Description: Illustration of the Kernel Principal Covariates Regression method on various datasets.
Description: Validation results of an automated protocol for generating maximally-localized Wannier functions in a high-throughput framework.
Description: A database of 70k two- and three-dimensional covalent organic frameworks, screened for carbon capture.
Description: A database of 324,426 hypothetical Metal-Organic Frameworks (MOFs) screened for wet flue gas CO2 capture.
Description: Results from screening exfoliable materials for 2D topological insulators (Quantum Spin Hall Insulators).
Applicability of tail-corrections in the molecular simulations of porous materials DOI 10.24435/materialscloud:2019.0024/v3
Description: Systematic study on the applicability of tail-corrections in the molecular simulations of porous materials.
Description: A database of Covalent-Organic Frameworks (COFs) experimentally reported,
provided with DFT-optimized geometry and DDEC partial charges for
molecular simulations. They have been evaluated for CO2 capture and storage
Description: Energy-based screening of catalysts for various cross-coupling reactions.
Covalent organic frameworks for methane storage applications DOI 10.24435/materialscloud:2018.0003/v3
Description: A database of 70k two- and three-dimensional covalent organic frameworks, screened for methane storage.
TopoMat: a database of high-throughput first-principles calculations of topological materials DOI 10.24435/materialscloud:2019.0019/v1
Description: The database contains the results of high-throughput first-principles screening
of known crystal structures for topological materials (topological insulators,
Dirac and Weyl semimetals, etc.). If you use this work please cite
the following publication in progress: G. Autès, Q. S. Wu, N. Mounet, O. V. Yazyev,
“TopoMat: a database of high-throughput first-principles
calculations of topological materials”, in preparation (2018).