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W. N. Lacey Lectureship in Chemical Engineering

Thursday, January 30, 2020
4:00pm to 5:00pm
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Spalding Laboratory 106 (Hartley Memorial Seminar Room)
Soft matter design and characterization in the era of machine learning (General Lecture)
Juan J. de Pablo, Vice President for National Laboratories, University of Chicago,

The advent of innovative molecular modeling algorithms, optimization strategies, and machine learning techniques is ushering a new era of materials science and engineering in which computational tools are routinely used to probe, design, and interrogate matter and functional materials systems. In this presentation I will illustrate some of these ideas in the context of a variety of examples taken from chemical engineering, physics, biology and materials science. In the first, I will discuss the simultaneous interpretation of scattering data from multiple sources by relying on molecular models. In the second I will present models of biological systems that use machine learning to integrate experimental and computational information form a wide range of sources. In the third, I will discuss how evolutionary optimization and machine learning can be used to create new mechanical metamaterials.

For more information, please contact Sohee Lee by phone at 6263954193 or by email at [email protected].