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Physico-chemical properties of nanoparticles. A brief review.
Published:
12 June 2023
by MDPI
in MOL2NET'23, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 9th ed.
congress CHEMBIO.MOL-09: Org. Chem., Med. Chem., Mol. Biol., & Pharm. Industry Congress, Paris, France-Fargo, USA, 2023.
Abstract:
This document discusses the physicochemical properties of nanoparticles (NPs) and their importance in various applications. NPs are materials formed by particles with dimensions between 1 and 100 nm, which possess unique properties due to their relatively large surface area. However, characterization of these properties is challenging due to the polydispersity and wide distribution of sizes, shapes and defects that occur in their synthesis. Size, shape, surface charge and porosity are key parameters that determine the properties of NPs. The physicochemical properties of NPs include electronic and optical, magnetic, mechanical and thermal properties.
Keywords: nanomaterial; Thermal; Catalytic; Mechanic, Molecular, Electronic and optical properties
Comments on this paper
Humbert G. Díaz
1 January 2024
Dear author(s), Happy New Year 24, Thank you for your contribution to our conference!!!
We have a question for you, you can read and answer bellow.
Question for Authors:
What are the main bottlenecks/opportunities for application of AI/ML Chemoinformatics algorithms and development of SQL or other databases on this area?
REVIEWWWERS'23 participation:
We also invite you to participate in the REVIEWWWERS Workshop, which is now open, by making questions to other authors.
The steps are very easy. instructions: Step(1), Register/Login here [Register/Login] to Sciforum platform. Step(2), Go to presetations list [MOL2NET'23 Papers List], Step(3), Scroll down papers list and click on one title. Step(4), Scroll down and click on Commenting button, post your comment, and click submit. Step(5), Repeat review process for other papers. Step(6), Request certificate. See details [Reviewers Workshop] or contact us at Email: mol2net.chair@gmail.com.
We have a question for you, you can read and answer bellow.
Question for Authors:
What are the main bottlenecks/opportunities for application of AI/ML Chemoinformatics algorithms and development of SQL or other databases on this area?
REVIEWWWERS'23 participation:
We also invite you to participate in the REVIEWWWERS Workshop, which is now open, by making questions to other authors.
The steps are very easy. instructions: Step(1), Register/Login here [Register/Login] to Sciforum platform. Step(2), Go to presetations list [MOL2NET'23 Papers List], Step(3), Scroll down papers list and click on one title. Step(4), Scroll down and click on Commenting button, post your comment, and click submit. Step(5), Repeat review process for other papers. Step(6), Request certificate. See details [Reviewers Workshop] or contact us at Email: mol2net.chair@gmail.com.
Galo Cerda Mejía
2 January 2024
The application of artificial intelligence (AI) and machine learning (ML) cheminformatics algorithms, as well as the development of database management systems (such as SQL) in the field of cheminformatics, faces both obstacles and opportunities. Among the main obstacles we have: data complexity, data scarcity, interpretation of the results. And among the opportunities we have: drug discovery, process optimization, efficient data management.
