Computational Identification of Four Promising Nonlinear Optical Materials for Near and Middle Ultraviolet Operation

5Citations
Citations of this article
5Readers
Mendeley users who have this article in their library.

Abstract

We perform a computational search for promising nonlinear optical materials by screening crystal structure databases. We selected non-centrosymmetric, thermodynamically stable and low-energy metastable borates, with large expected band gaps. For these structures, we performed density functional computations of the gap values, birefringence and nonlinear susceptibilities. Our search revealed four potentially efficient nonlinear borate materials with large band gaps, moderate birefringence and high nonlinear coefficients: K3B6O10Cl, Ca5B3O9F, SrB4O7, Al4(B2O5)3.

Cite

CITATION STYLE

APA

Alkabakibi, Y., Barma, D. D., Rybkovskiy, D. V., Tudi, A., Xie, C., & Oganov, A. R. (2025). Computational Identification of Four Promising Nonlinear Optical Materials for Near and Middle Ultraviolet Operation. JETP Letters, 121(4), 256–261. https://doi.org/10.1134/S0021364024605074

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free