ATENA: A Web-Based Tool for Modelling Metal Oxide Nanoparticles Based on NanoFingerprint Quantitative...

Area of Science:

• Computational and theoretical chemistry
• Materials science
• Nanotechnology

Background:

• Analyzing nanomaterial properties (toxicity, solubility, electronic structure) is challenging.
• Representing full 3D structures is data-intensive and complex.
• Efficient tools for quantitative analysis of nanostructures are needed.

Purpose of the Study:

• To define a new representation for nanocompounds based on their 3D structure.
• To develop a web server for generating this representation and analyzing nanostructures.
• To demonstrate the utility of the new method and server.

Main Methods:

• Defined NanoFingerprint: a vector representation capturing local atomic relationships and 3D structure.
• Developed the ATENA web server for generating NanoFingerprints.
• Performed a case study to validate the NanoFingerprint and ATENA server.

Main Results:

• Introduced NanoFingerprint, a manageable vector characterizing local atomic connectivity.
• Presented ATENA, a web server facilitating NanoFingerprint generation and nanostructure analysis.
• Demonstrated the effectiveness of NanoFingerprint and ATENA through a case study.

Conclusions:

• NanoFingerprint offers an efficient way to represent complex nanomaterial structures.
• The ATENA web server provides a valuable tool for researchers and industry.
• This work advances the exploration of nanomaterial properties, including toxicity.