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+@article{THOMAS2017a,
+title = {The exploration of nonlinear elasticity and its efficient parameterization for crystalline materials},
+journal = {Journal of the Mechanics and Physics of Solids},
+volume = {107},
+pages = {76-95},
+year = {2017},
+issn = {0022-5096},
+doi = {https://doi.org/10.1016/j.jmps.2017.06.009},
+url = {https://www.sciencedirect.com/science/article/pii/S0022509616309309},
+author = {John C. Thomas and Anton {Van der Ven}},
+keywords = {Finite strain, Elastic material, Anisotropic material, Constitutive behavior, Numerical algorithms},
+abstract = {Conventional approaches to analyzing the very large coherency strains that can occur during solid-state phase transformations are founded in linear elasticity and rely on infinitesimal strain metrics. Despite this, there are many technologically important examples where misfit strains of multi-phase mixtures are very large during their synthesis and/or application. In this paper, we present a framework for constructing strain-energy expressions and stress-strain relationships beyond the linear-elastic limit for crystalline solids. This approach utilizes group theoretical concepts to minimize both the number of free parameters in the strain-energy expression and amount of first-principles training data required to parameterize strain-energy models that are invariant to all crystal symmetries. Within this framework, the strain-energy and elastic stiffness can be described to high accuracy in terms of a set of conventional symmetry-adapted finite strain metrics that we define independent of crystal symmetry. As an illustration, we use first-principles electronic structure data to parameterize strain energy polynomials and employ them to explore the strain-energy surfaces of HCP Zr and Mg, as well as several important Zr-H and Mg-Nd phases that are known to precipitate coherently within the HCP matrices of Zr and Mg.}
+}
+
 @article{CASM,
 title = {CASM — A software package for first-principles based study of multicomponent crystalline solids},
 journal = {Computational Materials Science},