ArticleJournal of chemical theory and computation2025
Assessing Polymorph Stability and Phase Transitions at Finite Temperature: Integrating Crystal Structure Prediction, Lattice Dynamics, and Molecular Dynamics.
Article in Journal of chemical theory and computation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Determining finite-temperature polymorph stability and phase transitions remains a major challenge in crystal structure prediction (CSP). While static lattice energy methods, the zeroth-order CSP, may offer some initial insights, they neglect vibrational and entropic contributions that can influence stability under real-world conditions. Molecular dynamics (MD) approaches, on the other hand, can be used for free energy analysis across wide temperature ranges, but their computational cost limits their applicability to a small number of putative crystal structures. This work introduces a multistage protocol that combines CSP, harmonic approximation lattice dynamics (HA-LD), and MD to assess a larger number of structures than is possible with MD alone. Using tetracyanoethylene (TCNE) as a test case, we first carry out a zeroth-order CSP and then apply the relatively cheap HA-LD method to prescreen the 100 lowest-energy structures. Five thermodynamically relevant candidates are identified and advanced to detailed free energy analysis using the more expensive pseudosupercritical path (PSCP) method in MD. MD-PSCP captures the anharmonic and thermal expansion effects neglected in HA-LD, enabling excellent predictions of observed phase stability. The cubic-monoclinic enantiotropic transition of TCNE is predicted at 322 K, within the experimental range of 292-326 K, and the melting temperature of the monoclinic form is estimated with a deviation of less than 10 K from the experimental value. Our simulations also indicate a potentially more stable hypothetical form, whose viability requires further investigation. By combining CSP for structure generation, HA-LD for efficient prescreening, and MD-PSCP for enhanced predictive accuracy, our workflow overcomes the limitations of each method alone. This approach improves finite-temperature polymorph prediction and offers a practical framework for materials and pharmaceutical applications, where thermal effects are critical.
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