BEGIN:VCALENDAR PRODID:-//Microsoft Corporation//Outlook 16.0 MIMEDIR//EN VERSION:2.0 METHOD:PUBLISH X-MS-OLK-FORCEINSPECTOROPEN:TRUE BEGIN:VTIMEZONE TZID:GMT Standard Time BEGIN:STANDARD DTSTART:16011028T020000 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=10 TZOFFSETFROM:+0100 TZOFFSETTO:-0000 END:STANDARD BEGIN:DAYLIGHT DTSTART:16010325T010000 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=3 TZOFFSETFROM:-0000 TZOFFSETTO:+0100 END:DAYLIGHT END:VTIMEZONE BEGIN:VEVENT 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 \n DTEND;TZID="GMT Standard Time":20250522T104500 DTSTAMP:20250509T141614Z DTSTART;TZID="GMT Standard Time":20250522T103000 LAST-MODIFIED:20250512T113501Z LOCATION:Stage 3 PRIORITY:5 SEQUENCE:0 SUMMARY;LANGUAGE=en-gb:Presentation: Adaptive Experimental Design of Formul ated Products TRANSP:OPAQUE UID:040000008200E00074C5B7101A82E00800000000201C072EF5C0DB01000000000000000 010000000DA40D47BFB86AB459FB5EB70720A1538 X-ALT-DESC;FMTTYPE=text/html:

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.

 \;

Dr Tom Whitehead - Chemical UK Expo

X-MICROSOFT-CDO-BUSYSTATUS:BUSY X-MICROSOFT-CDO-IMPORTANCE:1 X-MICROSOFT-DISALLOW-COUNTER:FALSE X-MS-OLK-AUTOFILLLOCATION:FALSE X-MS-OLK-AUTOSTARTCHECK:FALSE X-MS-OLK-CONFTYPE:0 END:VEVENT END:VCALENDAR