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Simulated annealing fitting: a global optimization method for quantitatively analyzing growth kinetics of colloidal Ag nanoparticles.
Nanoscale Horiz. 2021 06 28; 6(7):568-573.NH

Abstract

The involvement of heterogeneous solid/liquid reactions in growing colloidal nanoparticles makes it challenging to quantitatively understand the fundamental steps that determine nanoparticles' growth kinetics. A global optimization protocol relying on simulated annealing fitting and the LSW growth model is developed to analyze the evolution data of colloidal silver nanoparticles synthesized from a microwave-assisted polyol reduction reaction. Fitting all data points of the entire growth process determines with high fidelity the diffusion coefficient of precursor species and the heterogeneous reduction reaction rate parameters on growing silver nanoparticles, which represent the principal functions to determine the growth kinetics of colloidal nanoparticles. The availability of quantitative results is critical to understanding the fundamentals of heterogeneous solid/liquid reactions, such as identifying reactive species and reaction activation energy barriers.

Authors+Show Affiliations

Department of Chemistry, Temple University, 1901 North 13th Street, Philadelphia, Pennsylvania 19122, USA. ygsun@temple.edu.No affiliation info availableNo affiliation info available

Pub Type(s)

Journal Article
Research Support, U.S. Gov't, Non-P.H.S.

Language

eng

PubMed ID

33997878

Citation

Wu, Siyu, et al. "Simulated Annealing Fitting: a Global Optimization Method for Quantitatively Analyzing Growth Kinetics of Colloidal Ag Nanoparticles." Nanoscale Horizons, vol. 6, no. 7, 2021, pp. 568-573.
Wu S, An Q, Sun Y. Simulated annealing fitting: a global optimization method for quantitatively analyzing growth kinetics of colloidal Ag nanoparticles. Nanoscale Horiz. 2021;6(7):568-573.
Wu, S., An, Q., & Sun, Y. (2021). Simulated annealing fitting: a global optimization method for quantitatively analyzing growth kinetics of colloidal Ag nanoparticles. Nanoscale Horizons, 6(7), 568-573. https://doi.org/10.1039/d1nh00152c
Wu S, An Q, Sun Y. Simulated Annealing Fitting: a Global Optimization Method for Quantitatively Analyzing Growth Kinetics of Colloidal Ag Nanoparticles. Nanoscale Horiz. 2021 06 28;6(7):568-573. PubMed PMID: 33997878.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Simulated annealing fitting: a global optimization method for quantitatively analyzing growth kinetics of colloidal Ag nanoparticles. AU - Wu,Siyu, AU - An,Qinwei, AU - Sun,Yugang, PY - 2021/5/18/pubmed PY - 2021/5/18/medline PY - 2021/5/17/entrez SP - 568 EP - 573 JF - Nanoscale horizons JO - Nanoscale Horiz VL - 6 IS - 7 N2 - The involvement of heterogeneous solid/liquid reactions in growing colloidal nanoparticles makes it challenging to quantitatively understand the fundamental steps that determine nanoparticles' growth kinetics. A global optimization protocol relying on simulated annealing fitting and the LSW growth model is developed to analyze the evolution data of colloidal silver nanoparticles synthesized from a microwave-assisted polyol reduction reaction. Fitting all data points of the entire growth process determines with high fidelity the diffusion coefficient of precursor species and the heterogeneous reduction reaction rate parameters on growing silver nanoparticles, which represent the principal functions to determine the growth kinetics of colloidal nanoparticles. The availability of quantitative results is critical to understanding the fundamentals of heterogeneous solid/liquid reactions, such as identifying reactive species and reaction activation energy barriers. SN - 2055-6764 UR - https://www.unboundmedicine.com/medline/citation/33997878/Simulated_annealing_fitting:_a_global_optimization_method_for_quantitatively_analyzing_growth_kinetics_of_colloidal_Ag_nanoparticles. L2 - https://doi.org/10.1039/d1nh00152c DB - PRIME DP - Unbound Medicine ER -
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