# First-principles lattice thermal conductivity calculation for Cs2SnCl6 / Fm-3m (225) / materials id 608555 https://mdr.nims.go.jp/datasets/be0adc91-c4d2-41e9-a3cc-54a4993d3dad ## Files - [FORCES_FC3.xz](https://mdr.nims.go.jp/filesets/e454247a-d056-4c08-b487-e5f2dc372818/download) ([Detail](https://mdr.nims.go.jp/filesets/e454247a-d056-4c08-b487-e5f2dc372818.md)) - [LTC-calc.log](https://mdr.nims.go.jp/filesets/739598e5-316b-4319-b087-61a8cbac5755/download) ([Detail](https://mdr.nims.go.jp/filesets/739598e5-316b-4319-b087-61a8cbac5755.md)) - [phono3py_mlp_eval_fc3_disp.yaml.xz](https://mdr.nims.go.jp/filesets/47b537df-8965-4a36-bcd7-43f9c7b9e7af/download) ([Detail](https://mdr.nims.go.jp/filesets/47b537df-8965-4a36-bcd7-43f9c7b9e7af.md)) - [phonopy_mlp_eval_fc2_dataset.yaml.xz](https://mdr.nims.go.jp/filesets/a61b88f3-f48f-4265-86eb-78c206e5f6ff/download) ([Detail](https://mdr.nims.go.jp/filesets/a61b88f3-f48f-4265-86eb-78c206e5f6ff.md)) - [phonopy_training_dataset.yaml.xz](https://mdr.nims.go.jp/filesets/9ee6af3a-be45-490a-b812-da3c7c3dfd88/download) ([Detail](https://mdr.nims.go.jp/filesets/9ee6af3a-be45-490a-b812-da3c7c3dfd88.md)) - [polymlp.yaml.xz](https://mdr.nims.go.jp/filesets/b54dd932-0d6e-4ba0-ad48-cb46a3ddfcb2/download) ([Detail](https://mdr.nims.go.jp/filesets/b54dd932-0d6e-4ba0-ad48-cb46a3ddfcb2.md)) - [vasp-settings.tar.xz](https://mdr.nims.go.jp/filesets/44bc4d72-5670-437a-b10a-d9f70b711650/download) ([Detail](https://mdr.nims.go.jp/filesets/44bc4d72-5670-437a-b10a-d9f70b711650.md)) - [band_pdos.png](https://mdr.nims.go.jp/filesets/e7d3bed2-30ef-4519-a565-a912b24b2bb2/download) ([Detail](https://mdr.nims.go.jp/filesets/e7d3bed2-30ef-4519-a565-a912b24b2bb2.md)) ## Id be0adc91-c4d2-41e9-a3cc-54a4993d3dad ## Local identifier identifier: MDR-LTC-2026Jan9/mp-608555 ## Visibility open_to_public ## State published ## Created at 2026-01-15T06:19:54.182392Z ## Updated at 2026-01-24T05:34:56.496496Z ## Published at 2026-01-24T01:51:28.984524Z ## Doi ## First published url ## Date published ## Recorded date published ## Resource type dataset ## Manuscript type na ## Collection - id: 0113dccc-ec45-42ed-86db-f455f9b63fb1 identifier: https://mdr.nims.go.jp/pid/0113dccc-ec45-42ed-86db-f455f9b63fb1 title: MDR lattice thermal conductivity calculation database ## Title - title: First-principles lattice thermal conductivity calculation for Cs2SnCl6 / Fm-3m (225) / materials id 608555 title_type: original lang: en ## Description - description: | Input data used to calculate the lattice thermal conductivities of Cs2SnCl6. description_type: abstract lang: en - description: | Initial geometry optimization of the conventional unit cell, standardized by the spglib code, was performed using the VASP code with the PBEsol exchange-correlation functional. Supercell forces and energies were calculated using the VASP code, and these data were used to develop polynomial machine learning potentials (MLPs) with the pypolymlp code. The generated MLPs are stored in polymlp.yaml.xz. Parameters required for the non-analytical term correction (Born effective charges and dielectric constants) were calculated using the VASP code with the primitive cell. These VASP results are provided in phonopy_training_dataset.yaml.xz, and the VASP input configurations can be found in vasp-settings.tar.xz. The primitive cell, unit cell, and supercell structures used for the VASP calculations are also provided in phonopy_training_dataset.yaml.xz. The internal atomic positions of the supercell were then optimized using the pypolymlp code under symmetry constraints; the relaxed structure can be found in phonopy_mlp_eval_fc2_dataset.yaml.xz (or phono3py_mlp_eval_fc3_disp.yaml.xz). Second-order force constants (fc2) can be calculated using the phonopy and symfc codes with the displacement–force dataset evaluated by the pypolymlp code, which is stored in phonopy_mlp_eval_fc2_dataset.yaml.xz. Third-order force constants (fc3) can be calculated using the built-in finite difference approach in the phono3py code with the displacement–force dataset stored in phono3py_mlp_eval_fc3_disp.yaml.xz (displacements) and FORCES_FC3.xz (forces). As an example, lattice thermal conductivities (LTCs) were calculated using the phono3py code with fc2 and fc3, and the calculation log is provided in LTC-calc.log. The harmonic phonon band structure and density of states are plotted in band_pdos.png. The band path was generated using the SeeK-path code. description_type: abstract lang: en ## Creator - name: Atsushi Togo role: author orcid: https://orcid.org/0000-0001-8393-9766 organization: National Institute for Materials Science department: Center for Basic Research on Materials ror: https://ror.org/026v1ze26 ## Contact agent - name: Atsushi Togo email: togo.atsushi@nims.go.jp organization: National Institute for Materials Science ror: https://ror.org/026v1ze26 ## Publisher organization: NIMS ror: https://ror.org/026v1ze26 ## Managing organization organization: National Institute for Materials Science department: CBRM ror: https://ror.org/026v1ze26 ## Keyword - subject: Lattice thermal conductivity schema: not_defined - subject: Cs2SnCl6 schema: not_defined ## Rights - description: Creative Commons Attribution 4.0 International identifier: https://creativecommons.org/licenses/by/4.0/ ## Other identifier(s) ## Data origin - data_origin_type: simulation ## Embargo ## Journal ## Conference ## Related item ## Funding ## Instrument ## Instrument operator ## Instrument managing organization ## Measurement method ## Specimen - name: Cs2SnCl6 description: Cs2SnCl6 ## Chemical composition - identifier: Cs2SnCl6 description: Cs2SnCl6 ## Structure for specimen - description: Cs2SnCl6 category_description: Cs2SnCl6 ## Structural feature for specimen ## Specific property for specimen ## Process for specimen treatment ## Computational method ## Energy level/transition state ## Software - name: phono3py identifier: https://github.com/phonopy/phono3py - name: phonopy identifier: https://github.com/phonopy/phonopy - name: spglib identifier: https://github.com/spglib/spglib - name: symfc identifier: https://github.com/symfc/symfc - name: pypolymlp identifier: https://github.com/sekocha/pypolymlp - name: VASP identifier: https://www.vasp.at/ - name: Seek-path identifier: https://github.com/giovannipizzi/seekpath ## Custom property ## Fileset - id: e454247a-d056-4c08-b487-e5f2dc372818 filename: FORCES_FC3.xz content_type: application/x-xz size: 114924 md5: c8b379799a03402700e542c45fc2251a - id: 739598e5-316b-4319-b087-61a8cbac5755 filename: LTC-calc.log content_type: text/x-log size: 86867 md5: 6498c865679ccbe3fc84353905d87e05 - id: 47b537df-8965-4a36-bcd7-43f9c7b9e7af filename: phono3py_mlp_eval_fc3_disp.yaml.xz content_type: application/x-xz size: 2760 md5: 20d50e30d200ebb4e7b6eb269afbe035 - id: a61b88f3-f48f-4265-86eb-78c206e5f6ff filename: phonopy_mlp_eval_fc2_dataset.yaml.xz content_type: application/x-xz size: 103164 md5: b4928b8a9f4e04173cba9c1245bc5695 - id: 9ee6af3a-be45-490a-b812-da3c7c3dfd88 filename: phonopy_training_dataset.yaml.xz content_type: application/x-xz size: 255032 md5: 5e7ce7fe2cc2d619b8e5f7ba909ff877 - id: b54dd932-0d6e-4ba0-ad48-cb46a3ddfcb2 filename: polymlp.yaml.xz content_type: application/x-xz size: 241740 md5: 2479623d5cac086c7f19559391ad29ba - id: 44bc4d72-5670-437a-b10a-d9f70b711650 filename: vasp-settings.tar.xz content_type: application/x-xz size: 568 md5: ca3969b0142152623dc7a76862b56062 - id: e7d3bed2-30ef-4519-a565-a912b24b2bb2 filename: band_pdos.png content_type: image/png size: 46325 md5: ab07794e48f3eec35c23e5cc2cc855dc ## Thumbnail fileset_id: e7d3bed2-30ef-4519-a565-a912b24b2bb2 filename: band_pdos.png