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NanoConstruct: A web application builder of ellipsoidal nanoparticles for the investigation of their crystal growth, stability, and the calculation of atomistic descriptors.
- Source :
-
Computational and structural biotechnology journal [Comput Struct Biotechnol J] 2024 May 25; Vol. 25, pp. 81-90. Date of Electronic Publication: 2024 May 25 (Print Publication: 2024). - Publication Year :
- 2024
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Abstract
- NanoConstruct is a state-of-the-art computational tool that enables a) the digital construction of ellipsoidal neutral energy minimized nanoparticles (NPs) in vacuum through its graphical user-friendly interface, and b) the calculation of NPs atomistic descriptors. It allows the user to select NP's shape and size by inserting its ellipsoidal axes and rotation angle while the NP material is selected by uploading its Crystallography Information File (CIF). To investigate the stability of materials not yet synthesised, NanoConstruct allows the substitution of the chemical elements of an already synthesized material with chemical elements that belong into the same group and neighbouring rows of the periodic table. The process is divided into three stages: 1) digital construction of the unit cell, 2) digital construction of NP using geometry rules and keeping its stoichiometry and 3) energy minimization of the geometrically constructed NP and calculation of its atomistic descriptors. In this study, NanoConstruct was applied for the investigation of the crystal growth of Zirconia (ZrO <subscript>2</subscript> ) NPs when in the rutile form. The most stable configuration and the crystal growth route were identified, showing a preferential direction for the crystal growth of ZrO <subscript>2</subscript> in its rutile form. NanoConstruct is freely available through the Enalos Cloud Platform (https://enaloscloud.novamechanics.com/riskgone/nanoconstruct/).<br />Competing Interests: PK, DZ, NS, AT and AA are employed by NovaMechanics a cheminformatics and materials informatics company.<br /> (© 2024 The Authors.)
Details
- Language :
- English
- ISSN :
- 2001-0370
- Volume :
- 25
- Database :
- MEDLINE
- Journal :
- Computational and structural biotechnology journal
- Publication Type :
- Academic Journal
- Accession number :
- 38883847
- Full Text :
- https://doi.org/10.1016/j.csbj.2024.05.039