A self-optimising continuous-flow hydrothermal reactor for nanomaterial synthesis

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A self-optimising continuous-flow hydrothermal reactor for nanomaterial synthesis

Nanomaterials have emerged as an exciting class of materials with tuneable chemical and physical properties and often enhanced performance when compared to their bulk counterpart. However, the synthesis of nanomaterials remains complex, with a large number of process variables (temperature, reaction...

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Bibliographic Details
Main Author:	Jackson, Cameron
Format:	Thesis (University of Nottingham only)
Language:	English
Published:	2021
Subjects:	Optimisation; Self-Optimisation; Nanoparticles; Hydrothermal; Continuous-Flow; Flow; Machine Learning; Automation
Online Access:	https://eprints.nottingham.ac.uk/66883/

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