Computational spectroscopy for crystalline materials: from structure to properties

Abstract

Can computational spectroscopy predict the crystal structure of experimentally challenging systems? Once a computational model is validated, what macroscopic properties can be reliably derived from it? This review explores the potential of computational spectroscopy to address these questions by examining a few selected systems. The examples considered include inorganic cupper silicate pigment Egyptian blue, tetraalkylammonium chloride salts – key components of deep eutectic solvents – and semi-crystalline biobased furanic polyesters.

Graphical abstract: Computational spectroscopy for crystalline materials: from structure to properties

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Article information

Article type
Highlight
Submitted
28 Mar 2025
Accepted
21 May 2025
First published
22 May 2025
This article is Open Access
Creative Commons BY license

CrystEngComm, 2025, Advance Article

Computational spectroscopy for crystalline materials: from structure to properties

M. M. Nolasco, P. D. Vaz, R. A. F. Serrano, J. T. Martins, C. F. Araújo and P. Ribeiro-Claro, CrystEngComm, 2025, Advance Article , DOI: 10.1039/D5CE00342C

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