Automating New Materials Discovery: How UL Research Institutes & Uncountable use AI, Machine Learning, and High-Throughput Experimentation to Accelerate the Pace of Discovery

DATE
October 1, 2025
TIME
8:00 a.m. PDT, 11:00 a.m. EDT, 16:00 BST, 17:00 CEST - Duration: 60 Minutes

Overview

This joint session will demonstrate how UL’s Materials Discovery Research Institute and Uncountable’s AI-driven informatics platform collaborate to create an advanced materials discovery pipeline. Attendees will learn how high-throughput experimentation, advanced simulation, and AI-guided decision-making can rapidly explore vast chemical spaces, prioritize the most promising experiments, and feed results back into subsequent iterations. By integrating automated synthesis and characterization with data-centric machine-learning tools, UL Research Institutes and Uncountable aim to reduce discovery timelines from decades to years, enabling the rapid development of materials that address climate- and safety-related challenges.

Key Learning Objectives:
  • Integrating AI, machine learning, and high-throughput experimentation into a seamless pipeline for rapid materials innovation
  • Leveraging automated synthesis, characterization, and simulation to efficiently explore vast chemical spaces
  • Prioritizing high-impact experiments using data-driven decision-making to dramatically reduce discovery timelines
  • Enabling the rapid development of advanced materials that address critical climate and safety challenges
Who Should Attend:
  • Laboratory managers
  • Chromatographers
  • New product developers

Brought to you by:
Uncountable logo

Speakers

Akshay Talekar
Data Science Lead,
UL MDRI
Kelly McSweeney
Contributing Editor,
C&EN Media Group

Registration

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