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IRTG Modern Inverse Problems (MIP)
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Januar 2021

SSD Seminar Series with Prof. James Sprittles Ph.D.

Januar 25 @ 16:00 - 17:00
a link for the Zoom meeting room will be send in the newsletter one week before the seminar starts. If you want to participate, please send an email to office@aices.rwth-aachen.de to get the zoom link.

Prof. James Sprittles Ph.D. - Noisy Interfacial Nanoflows Mathematics Institute, University of Warwick, United Kingdom   Abstract Understanding the behaviour of flows at the nanoscale holds the key to unlocking a myriad of emerging technologies.  However,  accurate experimental observation is complex due to the small spatio-temporal scales of interest and, consequently, mathematical modelling and computational simulation become key tools with which to probe such flows. At such scales, the classical Navier-Stokes paradigm no longer provides an accurate description of the flow…

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Februar 2021

SSD Seminar Series with Prof. Connor Coley Ph.D.

Februar 1 @ 16:00 - 17:00
a link for the Zoom meeting room will be send in the newsletter one week before the seminar starts. If you need any organizational help please contact office@aices.rwth-aachen.de

Prof. Connor Coley Ph.D. - Chemical Discovery and AI-Assisted Chemical Synthesis Department of Chemical Engineering, Massachusetts Institute of Technology   Abstract The discovery of functional molecules is an expensive and time-consuming process, exemplified by the rising costs of small molecule therapeutic discovery. Advances in laboratory automation promise to decrease the effort required to synthesize small molecule compounds, but determining how to synthesize a molecule is still a manual process that requires significant time investment from expert chemists. Computer-aided synthesis planning…

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SSD Seminar Series with Prof. Dr. Johann Sebastian Trimpe

Februar 8 @ 16:00 - 17:00
a link for the Zoom meeting room will be send in the newsletter one week before the seminar starts. If you want to participate, please send an email to office@aices.rwth-aachen.de to get the zoom link.

Prof. Dr. Johann Sebastian Trimpe - Event-triggered Learning Institute for Data Science in Mechanical Engineering, RWTH Aachen University   Abstract The ability to learn is an essential aspect of autonomous systems facing uncertain and changing environments. However, the process of learning a new model or behavior often does not come for free, but involves a certain cost. For example, gathering informative data can be challenging due to physical limitations, or updating models can require substantial computation. Moreover, learning for autonomous…

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