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ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
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modelforge curated dataset: tmQM-xtb

Abstract

Curated tmQM-xtb Dataset: - T=200K dataset restricted to [Pd, Zn, Fe, and Cu] max of 10 configs per system- Version: v1.1_PdZnFeCu_ncr10_T200K This dataset contains 23175 unique systems with 230,030 total configurations (maximum of 10 per system), sampled at T=200K. While 30 configurations were generated per system during sampling, this dataset limits this to be a maximum of 10 configurations per system, to allow for more direct comparison with T=100K data. This dataset is limited to systems that contain transition metals Pd, Zn, Fe, or Cu, and also only contain elements C, H, P, S, O, N, F, Cl, or Br. Potentially problematic configurations (i.e., unstable or those with underlying structural changes) were removed. Briefly, bond inference was performed on the initial configuration using RDKit and a configuration was excluded if any of those bond distances changed by more than 0.15 angstroms compared to the initial, energy minimized state. This dataset was generated starting from the tmQM dataset; the original tmQM repository (https://github.com/uiocompcat/tmQM) was forked and a release made that corresponds to the data committed on 13 August 2024 (https://github.com/chrisiacovella/tmQM/releases/tag/2024Aug13). Each molecule was evaluated using gfn2-xtb, and then a short MD simulation performed to provide additional configurations of the molecules. The tblite package was used to evaluate the energetic of the system using the gfn2-xtb formalism. MD simulations were performed using the Atomic Simulation Environment (ASE), using the Langevin integrator Simulations were performed at 200K with a 1 fs timestep and 0.01 1/fs friction damping factor. In all trajectories, the first configuration corresponds to the energy minimized configuration reported in the original tmQM dataset. 100 steps were taken between snapshots, with 30 total snapshots per molecule During MD sampling, gfn2-xtb accuracy was set to 2; all reported properties were calculated at accuracy level 1. Scripts used to perform the sampling can be found https://github.com/chrisiacovella/xtb_config_gen Properties included: atomic_numbers positions "per_atom" "nanometer" forces "per_atom" "kilojoule_per_mole / nanometer" partial_charges "per_atom" "elementary_charge" energies "per_system" "kilojoule_per_mole" dipole_moment_per_system "per_system" "elementary_charge * nanometer" total_charge "per_system" "elementary_charge" spin_multiplicities "per_system" "dimensionless" stoichiometry "meta_data"

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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Average