Work

EZClust: A Robust Machine Learning-Based Powder X-Ray Diffraction and Raman Cluster Analysis Model for Efficient High-Throughput Crystallization Polymorph Screening

Year: 2026

Type: article

Source: Organic Process Research & Development

DOI: 10.1021/acs.oprd.5c00382

Authors: Zhiwei Yin, Victor W. Rosso, Frederick Roberts, Ariel Furman, Jason M. Stevens, Taylor Watts, Cameron Cook, Anisha Patel, Jun Qiu

Institutions: Bristol-Myers Squibb (United States), Bristol-Myers Squibb (United Kingdom)

Language: English

Topic: Crystallization and Solubility Studies

Subfield: Materials Chemistry

Field: Materials Science

Domain: Physical Sciences

Open Access status: closed

Funder: Bristol-Myers Squibb

OpenAlex ID: W7124287006

FWCI: 1.447

Cites: 28

Cited by: 1

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