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:20250512T124815Z DESCRIPTION:Presentation:\nAI-Enhanced Formulation Development in Modern EL N Software\n \nThursday 13.45 to 14.00\, Stage 3\n \nSpeaker: Jun Liu - Se nior Marketing Manager - Revvity Signals Software\n \nAbout this presentat ion\nIn the specialty chemicals industry\, researchers face increasing pre ssure to develop innovative formulations that meet high-performance standa rds\, improve sustainability\, and reduce costs. Achieving these objective s requires a shift from traditional trial-and-error experimentation toward data-driven approaches. Relying solely on manual synthesis and formulatio n techniques is no longer sufficient\; modern digital tools such as Electr onic Lab Notebooks (ELNs) and Laboratory Information Management Systems (L IMS) are essential for accelerating research and development. These platfo rms streamline data management\, improve reproducibility\, and leverage ar tificial intelligence (AI) to predict optimal formulations\, suggest enhan cements\, and generate actionable insights from experimental results. Sign als One platform addresses this challenge by unifying and structuring rese arch data\, making it fully AI-ready. This platform enables seamless integ ration\, analysis\, and evaluation of experimental data using advanced mac hine-learning tools. By optimizing data preparation\, companies can unlock the full potential of AI for enhanced formulation discovery\, improved se arch capabilities\, automation of repetitive tasks\, and more efficient ex perimentation. In this presentation\, attendees will explore how a modern ELN/LIMS software can revolutionize R&D workflows\, accelerate formulation development\, and enhance collaboration within a unified digital ecosyste m.\n \nJun Liu - Chemical UK Expo \n DTEND;TZID="GMT Standard Time":20250522T140000 DTSTAMP:20250509T145852Z DTSTART;TZID="GMT Standard Time":20250522T134500 LAST-MODIFIED:20250512T124815Z LOCATION:Stage 3 PRIORITY:5 SEQUENCE:0 SUMMARY;LANGUAGE=en-gb:Presentation: AI-Enhanced Formulation Development in Modern ELN Software TRANSP:OPAQUE UID:040000008200E00074C5B7101A82E00800000000908DD324FBC0DB01000000000000000 010000000C15240AB3EB4ED4D9DE6CFD6C85A6F91 X-ALT-DESC;FMTTYPE=text/html:

Presentation:

AI-Enhanced Formulation Development in Modern ELN Softwa re

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Thursday 13.4 5 to 14.00\, Stage 3

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Speaker: Jun Liu - Senior Mar keting Manager - Revvity Signals Softw are

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About this presentation

In the specialty chemicals industry\, researchers face increasing pressure to develop innovative formulations that meet high-performance sta ndards\, improve sustainability\, and reduce costs. Achieving these object ives requires a shift from traditional trial-and-error experimentation tow ard data-driven approaches. Relying solely on manual synthesis and formula tion techniques is no longer sufficient\; modern digital tools such as Ele ctronic Lab Notebooks (ELNs) and Laboratory Information Management Systems (LIMS) are essential for accelerating research and development. These pla tforms streamline data management\, improve reproducibility\, and leverage artificial intelligence (AI) to predict optimal formulations\, suggest en hancements\, and generate actionable insights from experimental results. S ignals One platform addresses this challenge by unifying and structuring r esearch data\, making it fully AI-ready. This platform enables seamless in tegration\, analysis\, and evaluation of experimental data using advanced machine-learning tools. By optimizing data preparation\, companies can unl ock the full potential of AI for enhanced formulation discovery\, improved search capabilities\, automation of repetitive tasks\, and more efficient experimentation. In this presentation\, attendees will explore how a mode rn ELN/LIMS software can revolutionize R&\;D workflows\, accelerate for mulation development\, and enhance collaboration within a unified digital ecosystem.

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Jun Liu - Chemical UK Expo

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