Nick Warren
@nwarren.bsky.social
Professor of Sustainable Materials
University of Sheffield
Focussed on accelerating innovation in sustainable polymers by coupling the latest advances in chemistry and engineering.
sites.google.com/sheffield.ac.uk/njwarrengroup/home
University of Sheffield
Focussed on accelerating innovation in sustainable polymers by coupling the latest advances in chemistry and engineering.
sites.google.com/sheffield.ac.uk/njwarrengroup/home
Peter Pittaway has developed a highly sophisticated platform which can generate multiple samples of polymer latex via free radical emulsion polymerization and also conduct Bayesian optimization campaigns to map the particle size achievable.
doi.org/10.1016/j.ce...
doi.org/10.1016/j.ce...
Redirecting
doi.org
February 19, 2025 at 12:41 PM
Peter Pittaway has developed a highly sophisticated platform which can generate multiple samples of polymer latex via free radical emulsion polymerization and also conduct Bayesian optimization campaigns to map the particle size achievable.
doi.org/10.1016/j.ce...
doi.org/10.1016/j.ce...
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 simultaneous optimization of >5 critical parameters.
doi.org/10.1039/D5PY...
doi.org/10.1039/D5PY...
Self-driving laboratory platform for many-objective self-optimisation of polymer nanoparticle synthesis with cloud-integrated machine learning and orthogonal online analytics
The application of artificial intelligence and machine learning is revolutionising the chemical industry, with the ability to automate and self-optimise reactions facilitating a step change in capabil...
doi.org
February 19, 2025 at 12:41 PM
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 simultaneous optimization of >5 critical parameters.
doi.org/10.1039/D5PY...
doi.org/10.1039/D5PY...