Dataset

Finding_new_crystal_compounds_using_chemical_similarity




Species content of dataset


Name :
Finding_new_crystal_compounds_using_chemical_similarity
Authors :
Hai-Chen Wang, Silvana Botti, Miguel A. L. Marques
Description :
This is the dataset from npj Comp. Mater 7, 12 (2021), 'Predicting stable crystalline compounds using chemical similarity'. Stable crystal structure compositions of up to 12 atoms were gathered from the Materials Project database. These structures were mutated by replacing all of a given element with a similar element (see publication for details).
Cite As :
Wang, H., Botti, S., and Marques, M. A. L. "Finding new crystal compounds using chemical similarity." ColabFit, 2025. https://doi.org/10.60732/b9e7eedf.
ColabFit ID :
Date Added :
2025-08-05
License :
CC-BY-4.0
Downloads :
28
Num. Configurations :
219,310
Num. Atoms :
1,711,271
Calculated Property Types :
atomic_forces cauchy_stress electronic_band_gap energy energy_above_hull formation_energy
Elements :
Ac (0.1%) Ag (0.81%) Al (2.8%) As (1.44%) Au (1.37%) B (1.1%) Ba (1.02%) Be (0.11%) Bi (0.68%) Br (1.16%) C (0.71%) Ca (1.08%) Cd (0.92%) Ce (0.82%) Cl (1.32%) Co (1.93%) Cr (0.83%) Cs (0.71%) Cu (2.12%) Dy (0.91%) Er (0.87%) Eu (0.55%) F (2.55%) Fe (2.32%) Ga (2.28%) Gd (0.5%) Ge (2.45%) H (1.14%) Hf (0.76%) Hg (0.51%) Ho (0.88%) I (0.85%) In (2.26%) Ir (1.37%) K (0.93%) La (0.93%) Li (0.74%) Lu (0.66%) Mg (1.26%) Mn (1.74%) Mo (0.21%) N (1.42%) Na (0.72%) Nb (0.68%) Nd (0.84%) Ni (2.36%) Np (0.53%) O (7.58%) Os (0.71%) P (1.3%) Pa (0.2%) Pb (1.03%) Pd (1.88%) Pm (0.07%) Pr (0.85%) Pt (1.89%) Pu (0.69%) Rb (0.86%) Re (0.2%) Rh (1.9%) Ru (1.27%) S (2.19%) Sb (1.08%) Sc (0.92%) Se (2.14%) Si (2.36%) Sm (0.85%) Sn (2.19%) Sr (1.1%) Ta (0.57%) Tb (0.94%) Tc (0.09%) Te (1.47%) Th (0.88%) Ti (0.79%) Tl (0.87%) Tm (0.94%) U (0.72%) V (0.55%) W (0.19%) Xe (0.0%) Y (0.97%) Yb (0.99%) Zn (1.62%) Zr (0.92%)
Methods :
DFT-PBE
Software :
VASP
Spec File :
Configuration Sets by Name :
Configuration Sets by ID :
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