📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

A Digital Mechanistic Workflow for Predicting Solvent-Mediated Crystal Morphology: The a and ß Forms of l-Glutamic Acid. (2022)

First Author: Turner TD

Attributed to: HABIT - Crystal Morphology from Crystallographic and Growth Environmental Factors funded by EPSRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1021/acs.cgd.1c01490

PubMed Identifier: 35529067

Publication URI: http://europepmc.org/abstract/MED/35529067

Type: Journal Article/Review

Volume: 22

Parent Publication: Crystal growth & design

Issue: 5

ISSN: 1528-7483