Modern Modeling and Simulation Approaches for Morphology Predictions of Molecular Crystals

This article reports innovations in mechanistic modeling and simulation approaches for noncentrosymmetric molecular crystals with two growth units in the unit cell (Z = 2). A simplified steady-state framework considers the kinetics of most likely surface processes to predict nonequilibrium kink densities and step velocities. Kinetic Monte Carlo methods are utilized to simulate the evolution of growing crystal surfaces and capture dynamic step behavior. These approaches are compared quantitatively for their predictions of kink densities and step velocity with respect to interaction anisotropy and supersaturation. The approaches are applied to morphology predictions of an active pharmaceutical ingredient, trimethoprim, followed by a detailed comparative analysis.

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Publication Details

Journal
Industrial & Engineering Chemistry Research
Published
2024-10-14
DOI
https://doi.org/10.1021/acs.iecr.4c01866
Citations
3
Primary Topic
Crystallization and Solubility Studies
Type
article
Field-Weighted Citation Impact
0.35

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article

Modern Modeling and Simulation Approaches for Morphology Predictions of Molecular Crystals

Tobias Mazal, Michael F. Doherty, Neha A. Padwal
3 citations
Industrial & Engineering Chemistry Research
Crystallization and Solubility Studies
0.35
article

Modern Modeling and Simulation Approaches for Morphology Predictions of Molecular Crystals

Tobias Mazal, Michael F. Doherty, Neha A. Padwal
article en
3 citations

Abstract

This article reports innovations in mechanistic modeling and simulation approaches for noncentrosymmetric molecular crystals with two growth units in the unit cell (Z = 2). A simplified steady-state framework considers the kinetics of most likely surface processes to predict nonequilibrium kink densities and step velocities. Kinetic Monte Carlo methods are utilized to simulate the evolution of growing crystal surfaces and capture dynamic step behavior. These approaches are compared quantitatively for their predictions of kink densities and step velocity with respect to interaction anisotropy and supersaturation. The approaches are applied to morphology predictions of an active pharmaceutical ingredient, trimethoprim, followed by a detailed comparative analysis.

Industrial & Engineering Chemistry ResearchVol. 63(43)
University of California, Santa Barbara (US)
National Science Foundation, Eli Lilly and Company, International Fine Particle Research Institute
Openalex Percentile: Top 44%
Crystallization and Solubility Studies
0.35
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Modern Modeling and Simulation Approaches for Morphology Predictions of Molecular Crystals — Tobias Mazal, Michael F. Doherty, et al. · Industrial & Engineering Chemistry Research (2024) | TGRS Research Map | TGRS