Cover Image.
- Published in:
- Journal of Computational Chemistry, 2021, v. 42, n. 29, p. i, doi. 10.1002/jcc.26756
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- Publication type:
- Article
Works matching IS 01928651 AND DT 2021 AND VI 42 AND IP 29
Results: 8
1
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Tuning the metal–ligand bond in the σ‐complexes of stannylenes and azabenzenes.
- Published in:
- Journal of Computational Chemistry, 2021, v. 42, n. 29, p. 2103, doi. 10.1002/jcc.26741
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- Publication type:
- Article
3
DJMol: An open‐source modeling platform for computational chemistry and materials science with a Python interpreter.
- Published in:
- Journal of Computational Chemistry, 2021, v. 42, n. 29, p. 2116, doi. 10.1002/jcc.26740
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- Publication type:
- Article
4
Pseudospectral implementations of long‐range corrected density functional theory.
- Published in:
- Journal of Computational Chemistry, 2021, v. 42, n. 29, p. 2089, doi. 10.1002/jcc.26739
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- Publication type:
- Article
5
Dependence of the substituent energy on the level of theory.
- Published in:
- Journal of Computational Chemistry, 2021, v. 42, n. 29, p. 2079, doi. 10.1002/jcc.26738
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- Publication type:
- Article
6
Combining machine learning and quantum mechanics yields more chemically aware molecular descriptors for medicinal chemistry applications.
- Published in:
- Journal of Computational Chemistry, 2021, v. 42, n. 29, p. 2068, doi. 10.1002/jcc.26737
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- Publication type:
- Article
7
Pseudopotentials for coarse‐grained cross‐link‐assisted modeling of protein structures.
- Published in:
- Journal of Computational Chemistry, 2021, v. 42, n. 29, p. 2054, doi. 10.1002/jcc.26736
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- Publication type:
- Article
8
Issue Information.
- Published in:
- Journal of Computational Chemistry, 2021, v. 42, n. 29, p. 2049, doi. 10.1002/jcc.26337
- Publication type:
- Article