Self-driving laboratory platform for many-objective self-optimisation of polymer nanoparticle synthesis with cloud-integrated machine learning and orthogonal online analytics

2025/01/01 by Stephen T. Knox, Kai E. Wu, Nazrul Islam +8 · 1 voice
Computer Science · Environmental Science · #Computational Drug Discovery Methods #Water Quality Monitoring and Analysis

paper · pdf · doi:10.1039/d5py00123d

openalex publication_date 2025/01/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/11

Abstract

A self-driving laboratory, combining automated synthesis, characterisation, and cloud-based AI, was developed to optimise the synthesis of polymer nanoparticles by RAFT dispersion polymerisation.

Citations

• Bayesian reaction optimization as a tool for chemical synthesis

Discussions

• Stephen Knox, Kai Wu and Nazrul Islam's paper is one of the first examples of “many objective” optimization in chemistry. In this case, applied to a RAFT dispersion polymerization allowing simultaneou [bsky, 3 points, 1 comments]

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