Machine learning based temperature prediction of poly(N-isopropylacrylamide)-capped plasmonic nanoparticle solutions-Reference-Cited by-同舟云学术

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Machine learning based temperature prediction of poly(N-isopropylacrylamide)-capped plasmonic nanoparticle solutions

Published:2019 Issue:44 Volume:21 Page:24808-24819
ISSN:1463-9076
Container-title:Physical Chemistry Chemical Physics
language:en
Short-container-title:Phys. Chem. Chem. Phys.

Author:

Mallawaarachchi Sudaraka¹²³⁴⁵^ORCID,Liu Yiyi⁶³⁴⁵⁷,Thang San H.⁸³⁴⁵^ORCID,Cheng Wenlong⁶³⁴⁵⁷^ORCID,Premaratne Malin¹²³⁴⁵^ORCID

Affiliation:

1. Advanced Computing and Simulation Laboratory (AχL)

2. Department of Electrical and Computer Systems Engineering

3. Monash University

4. Clayton

5. Australia

6. Department of Chemical Engineering

7. The Melbourne Centre for Nanofabrication

8. School of Chemistry

Abstract

Machine learning techniques can predict the solution temperature of thermosensitive polymer-capped nanoparticle solutions to within 1 °C of accuracy.

Publisher

Royal Society of Chemistry (RSC)

Subject

Physical and Theoretical Chemistry,General Physics and Astronomy

Link

http://pubs.rsc.org/en/content/articlepdf/2019/CP/C9CP04544A

Reference62 articles.

1. Complete characterization of the spasing (L-L) curve of a three-level quantum coherence enhanced spaser for design optimization

2. Cavity QED analysis of an exciton-plasmon hybrid molecule via the generalized nonlocal optical response method

3. Superradiant Cancer Hyperthermia Using a Buckyball Assembly of Quantum Dot Emitters

4. Mechanical Vibrations of Atomically Defined Metal Clusters: From Nano- to Molecular-Size Oscillators

5. Synthesis, Mass Spectrometry, and Atomic Structural Analysis of Au∼2000(SR)∼290 Nanoparticles

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Poly(N‐isopropylacrylamide) and Its Copolymers: A Review on Recent Advances in the Areas of Sensing and Biosensing;Advanced Functional Materials;2024-05-11

2. Application of Digital Methods in Polymer Science and Engineering;Advanced Functional Materials;2023-10-27

3. IFPTML mapping of nanoparticle antibacterial activity vs. pathogen metabolic networks;Nanoscale;2021

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