RD-11.15-16.2022-Matusik

Conference Video|Duration: 31:12
November 16, 2022
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  • Video details
    AI methods promise to accelerate R&D and reduce manufacturing costs. However, developing manufacturing systems that incorporate AI face serious challenges. I will describe the efforts in my group to build practical AI methods to accelerate R&D processes. In particular, I will showcase how multi-objective Bayesian optimization can be used to search the space of material formulations and find formulations with optimal performance characteristics. I will also describe our latest methods that allow finding molecular structures with desired properties using limited experimental data. Finally, I will show manufacturing systems that incorporate sensing and digital feedback loop to ensure optimal system performance. 
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  • Video details
    AI methods promise to accelerate R&D and reduce manufacturing costs. However, developing manufacturing systems that incorporate AI face serious challenges. I will describe the efforts in my group to build practical AI methods to accelerate R&D processes. In particular, I will showcase how multi-objective Bayesian optimization can be used to search the space of material formulations and find formulations with optimal performance characteristics. I will also describe our latest methods that allow finding molecular structures with desired properties using limited experimental data. Finally, I will show manufacturing systems that incorporate sensing and digital feedback loop to ensure optimal system performance. 
Locked Interactive transcript

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