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Title: Mechanochemical spinodal decomposition: a phenomenological theory of phase transformations in multi-component, crystalline solids

Journal Article · · npj Computational Materials
 [1];  [2];  [3]
  1. Univ. of Michigan, Ann Arbor, MI (United States). Dept. of Mechanical Engineering
  2. Univ. of California, Santa Barbara, CA (United States). Dept. of Materials
  3. Univ. of Michigan, Ann Arbor, MI (United States). Dept. of Mechanical Engineering and Dept. of Mathematics

Here, we present a phenomenological treatment of diffusion-driven martensitic phase transformations in multi-component crystalline solids that arise from non-convex free energies in mechanical and chemical variables. The treatment describes diffusional phase transformations that are accompanied by symmetry-breaking structural changes of the crystal unit cell and reveals the importance of a mechanochemical spinodal, defined as the region in strain-composition space, where the free-energy density function is non-convex. The approach is relevant to phase transformations wherein the structural order parameters can be expressed as linear combinations of strains relative to a high-symmetry reference crystal. The governing equations describing mechanochemical spinodal decomposition are variationally derived from a free-energy density function that accounts for interfacial energy via gradients of the rapidly varying strain and composition fields. A robust computational framework for treating the coupled, higher-order diffusion and nonlinear strain gradient elasticity problems is presented. Because the local strains in an inhomogeneous, transforming microstructure can be finite, the elasticity problem must account for geometric nonlinearity. An evaluation of available experimental phase diagrams and first-principles free energies suggests that mechanochemical spinodal decomposition should occur in metal hydrides such as ZrH2-2c. The rich physics that ensues is explored in several numerical examples in two and three dimensions, and the relevance of the mechanism is discussed in the context of important electrode materials for Li-ion batteries and high-temperature ceramics.

Research Organization:
Univ. of Michigan, Ann Arbor, MI (United States)
Sponsoring Organization:
USDOE Office of Science (SC), Basic Energy Sciences (BES) (SC-22). Materials Sciences & Engineering Division; National Science Foundation (NSF)
Grant/Contract Number:
SC0008637; CHE1027729; DMR 1105672
OSTI ID:
1438027
Journal Information:
npj Computational Materials, Vol. 2, Issue 1; ISSN 2057-3960
Publisher:
Nature Publishing GroupCopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 48 works
Citation information provided by
Web of Science

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PRISMS: An Integrated, Open-Source Framework for Accelerating Predictive Structural Materials Science journal August 2018
A Multi-Physics Battery Model with Particle Scale Resolution of Porosity Evolution Driven by Intercalation Strain and Electrolyte Flow journal January 2018
Applications and Challenges of Machine Learning to Enable Realistic Cellular Simulations journal January 2020
A multi-physics battery model with particle scale resolution of porosity evolution driven by intercalation strain and electrolyte flow preprint January 2018
Unconditionally stable, second-order accurate schemes for solid state phase transformations driven by mechano-chemical spinodal decomposition journal November 2016
Modeling and simulation of microstructure in metallic systems based on multi-physics approaches text January 2022