ASCOT: A Web Tool for the Digital Construction of Energy Minimized Ag, CuO, TiO2 Spherical Nanoparticles and Calculation of Their Atomistic Descriptors

Panagiotis Kolokathis*, Evangelos Voyiatzis, Nikolas Sidiropoulos, Andreas Tsoumanis, Georgia Melagraki, Kaido Tamm, Iseult Lynch, Antreas Afantitis*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

ASCOT (an acronym derived from Ag-Silver, Copper Oxide, Titanium Oxide) is a user-friendly web tool for digital construction of electrically neutral, energy-minimized spherical nanoparticles (NPs) of Ag, CuO, and TiO2 (both Anatase and Rutile forms) in vacuum, integrated into the Enalos Cloud Platform (https://www.enaloscloud.novamechanics.com/sabydoma/ascot/). ASCOT calculates critical atomistic descriptors such as average potential energy per atom, average coordination number, common neighbour parameter (used for structural classification in simulations of crystalline phases), and hexatic order parameter (which measures how closely the local environment around a particle resembles perfect hexatic symmetry) for both core (over 4Å from the surface) and shell (within 4Å of the surface) regions of the NPs. These atomistic descriptors assist in predicting the most stable NP size based on lowest per atom energy and serve as inputs for developing machine learning models to predict the toxicity of these nanomaterials. ASCOT's automated backend requires minimal user input in order to construct the digital NPs: inputs needed are the material type (Ag, CuO, TiO2-Anatase, TiO2-Rutile), target diameter, a Force-Field from a pre-validated list, and the energy minimization parameters, with the tool providing a set of default values for novice users.
Original languageEnglish
JournalComputational and Structural Biotechnology Journal
Early online date12 Mar 2024
DOIs
Publication statusE-pub ahead of print - 12 Mar 2024

Fingerprint

Dive into the research topics of 'ASCOT: A Web Tool for the Digital Construction of Energy Minimized Ag, CuO, TiO2 Spherical Nanoparticles and Calculation of Their Atomistic Descriptors'. Together they form a unique fingerprint.

Cite this