Disentangling competing interactions in disordered materials using interaction space modelling
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arXiv
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| Format: | Preprint |
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2024
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| _version_ | 1866914888764358656 |
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| author | Schmidt, Ella M. Simonov, Arkadiy |
| author_facet | Schmidt, Ella M. Simonov, Arkadiy |
| contents | Understanding and manipulating the relationship between intentionally introduced disorder and material properties necessitates efficient characterization techniques. For example, single crystal diffuse scattering experiments provide insights into the driving forces behind local order phenomena. In this work, we present a time- and resource-efficient approach based on mean field theory, that quantifies local interaction energies but unlike other techniques does not require computationally expensive supercell models. The method is employed to quantify competing interactions in functionally disordered materials such as disordered rock salt cathode materials and Prussian blue analogs that share an underlying face-centred lattice. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2407_18815 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Disentangling competing interactions in disordered materials using interaction space modelling Schmidt, Ella M. Simonov, Arkadiy Materials Science Disordered Systems and Neural Networks Understanding and manipulating the relationship between intentionally introduced disorder and material properties necessitates efficient characterization techniques. For example, single crystal diffuse scattering experiments provide insights into the driving forces behind local order phenomena. In this work, we present a time- and resource-efficient approach based on mean field theory, that quantifies local interaction energies but unlike other techniques does not require computationally expensive supercell models. The method is employed to quantify competing interactions in functionally disordered materials such as disordered rock salt cathode materials and Prussian blue analogs that share an underlying face-centred lattice. |
| title | Disentangling competing interactions in disordered materials using interaction space modelling |
| topic | Materials Science Disordered Systems and Neural Networks |
| url | https://arxiv.org/abs/2407.18815 |