journal article·2023-07-11Open access

Modeling Short-Range Order in Disordered Rocksalt Cathodes by Pair Distribution Function Analysis

Nathan J. Szymanski, Zhengyan Lun, Jue Liu, Ethan C. Self, Christopher J. Bartel, Jagjit Nanda, Bin Ouyang, Gerbrand Ceder

Chemistry of Materials· Volume 35· Issue 13

Abstract

Pair distribution function (PDF) analysis is a powerful technique for the characterization of short-range order (SRO) in disordered materials. Accurate interpretation of experimental PDF data is critically reliant on the development of structural models that can account for local variations in site occupancies and bond lengths. To this end, we outline an approach to model SRO using first-principles calculations based on the cluster-expansion formalism. These methods are validated on neutron scattering data from two disordered rocksalt oxyfluorides, Li 1.3 Mn 0.4 Ti 0.3 O 1.7 F 0.3 and Li 1.3 Mn 0.4 Nb 0.2 Ti 0.1 O 1.7 F 0.3 . For each composition, we demonstrate that an average structure without any SRO fails to reproduce several key features in the experimental PDF. To pinpoint the origin of the suspected SRO in these materials, configurational and displacive effects were separately investigated using two disparate models. Special quasi-random structures were relaxed using density functional theory to account for local changes in bond lengths while maintaining a near-random ionic configuration. This leads to slightly improved accuracy but still misrepresents asymmetry in the first few peaks of the PDF. Monte Carlo simulations were performed to model configurational SRO on a fixed lattice, which by itself is shown to have a minimal influence on the PDF. Instead, we find that it is the bond length relaxations within environments created by SRO which controls the details of the PDF, thereby highlighting the subtle but important coupling between configurational and displacive SRO in disordered materials.
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Research context

OpenAlex topics: X-ray Diffraction in Crystallography · Machine Learning in Materials Science · Advancements in Battery Materials

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Affiliations

Department of Mat. Sci. & Engineering, UC Berkeley, Berkeley, California 94720, United States

Materials Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, California 94720, United States

School of Chemical Sciences, University of Chinese Academy of Sciences, Beijing 100049, China

Neutron Scattering Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee 37830, United States

Chemical Sciences Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee 37830, United States

Department of Chem. Eng. & Mat. Sci., University of Minnesota, Minneapolis, Minnesota 55455, United States

Applied Energy Division, SLAC National Laboratory, Menlo Park, California 94025, United States

Department of Chem. & Biochemistry, Florida State University, Tallahassee, Florida 32306, United States

Funding

Oak Ridge National Laboratory · Division of Graduate Education · Office of Energy Efficiency and Renewable Energy

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