Exploring celecoxib polymorph landscape using AIMNet2 machine learning interatomic potential.

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Bibliographic Details
Title: Exploring celecoxib polymorph landscape using AIMNet2 machine learning interatomic potential.
Authors: Zheng P; Department of Chemistry, Carnegie Mellon University Pittsburgh Pennsylvania 15213 USA olexandr@olexandrisayev.com., Abramov YA; Porton USA| J-Star Research Inc Cranbury NJ 08512 USA.; Eshelman School of Pharmacy, University of North Carolina Chapel Hill NC 27599 USA., Sun CC; Department of Industrial and Molecular Pharmaceutics, Purdue University 124C RHPH, 575 Stadium Mall Drive West Lafayette IN 47907 USA., Isayev O; Department of Chemistry, Carnegie Mellon University Pittsburgh Pennsylvania 15213 USA olexandr@olexandrisayev.com.
Source: Chemical science [Chem Sci] 2026 Jun 10. Date of Electronic Publication: 2026 Jun 10.
Publication Type: Journal Article
Journal Info: Publisher: Royal Society of Chemistry Country of Publication: England NLM ID: 101545951 Publication Model: Print-Electronic Cited Medium: Print ISSN: 2041-6520 (Print) Linking ISSN: 20416520 NLM ISO Abbreviation: Chem Sci
Database: MEDLINE Ultimate
Description
ISSN:2041-6520
DOI:10.1039/d5sc09784c