Compositional transferability of deep learning potentials: a case study for LiCl–KCl melt.
- Published in:
- Journal of Molecular Modeling, 2024, v. 30, n. 8, p. 1, doi. 10.1007/s00894-024-06084-y
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- Publication type:
- Article
Works by Zakiryanov, Dmitry
Results: 5
1
2
The basic intermediate-range order structures in the FLiNaK–LaF<sub>3</sub>–Li<sub>2</sub>O melt: identification and characterisation.
- Published in:
- Physics & Chemistry of Liquids, 2025, v. 63, n. 1, p. 22, doi. 10.1080/00319104.2024.2349767
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- Publication type:
- Article
3
Ab initio molecular dynamics simulations of molten lead oxyhalides Pb<sub>3</sub>O<sub>2</sub>X<sub>2</sub> (X = Cl, Br, I).
- Published in:
- Physics & Chemistry of Liquids, 2021, v. 59, n. 3, p. 391, doi. 10.1080/00319104.2020.1723095
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- Publication type:
- Article
4
DFT study on Raman frequencies of molten lead (II) chloride.
- Published in:
- Physics & Chemistry of Liquids, 2019, v. 57, n. 4, p. 423, doi. 10.1080/00319104.2018.1476975
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- Publication type:
- Article
5
The physicochemical properties of the CeF<sub>3</sub> – FLiNaK molten mixture: an in silico study.
- Published in:
- Molecular Simulation, 2023, v. 49, n. 8, p. 845, doi. 10.1080/08927022.2023.2193656
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- Publication type:
- Article