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CATEGORIES:Stage 3
CLASS:PUBLIC
CREATED:20250512T113501Z
DESCRIPTION:Presentation:\nAdaptive Experimental Design of Formulated Produ
cts\n \nThursday 10.30 to 10.45\, Stage 3\n \nSpeaker: Dr Tom Whitehead -
Head of Machine Learning - Intellegens Ltd\n \nAbout this presentation\nDe
veloping high-performance chemical formulations requires the navigation of
a complex landscape of compositional\, processing\, and application-speci
fic trade-offs. Meeting the urgent demands of sustainability and net-zero
goals adds further challenges. Adaptive Experimental Design (AED) is a new
machine learning-driven paradigm that extracts maximum value from data to
iteratively optimize formulations and processes\, significantly accelerat
ing the development of advanced chemicals.\n \nThis talk will demonstrate
how AED cuts experimental workloads by 50-80%\, using case studies on sust
ainable chemical formulations for inks and coatings. In contrast to tradit
ional Design of Experiments\, AED directly targets product performance\, s
upporting the chemist’s journey through chemical space. By integrating A
ED into R&D workflows\, the chemical science community can accelerate inno
vation while more efficiently meeting sustainability goals.\n \nDr Tom Whi
tehead - Chemical UK Expo
Presentation:
Adaptive Experimental Design of Formulated Products
Thursday 10.30 to 10
.45\, Stage 3
Speaker: Dr Tom Whitehead - Head of
Machine Learning - Intellegens Ltd
About this presentation
Developing high-performance chemical formulations requires the navigation
of a complex landscape of compositional\, processing\, and application-sp
ecific trade-offs. Meeting the urgent demands of sustainability and net-ze
ro goals adds further challenges. Adaptive Experimental Design (AED) is a
new machine learning-driven paradigm that extracts maximum value from data
to iteratively optimize formulations and processes\, significantly accele
rating the development of advanced chemicals.
This talk will demonstrate how AED cuts experimental workloads by
50-80%\, using case studies on sustainable chemical formulations for inks
and coatings. In contrast to traditional Design of Experiments\, AED direc
tly targets product performance\, supporting the chemist’s journey throu
gh chemical space. By integrating AED into R&\;D workflows\, the chemic
al science community can accelerate innovation while more efficiently meet
ing sustainability goals.