All times in this Schedule are Pacific Time (PT)
Tuesday, September 12, 2017
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Morning Session
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8:00 - 8:55
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Check-In/Breakfast (Hosted by IPAM)
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8:55 - 9:00
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Welcome and Opening Remarks (Illumination Room)
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9:00 - 10:00
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Christof Schuette (Freie Universität Berlin)
Optimization problems associated with complex energy landscapes: Challenges and paradigms
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10:15 - 10:30
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Break
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10:30 - 11:30
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11:45 - 12:15
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Core Orientation with IPAM Staff
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12:15 - 2:00
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Lunch (on your own)
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Afternoon Session
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2:00 - 3:00
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Graeme Henkelman (University of Texas at Austin)
Physical Sampling I: Equilibrium
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3:15 - 3:30
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Break
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3:30 - 4:30
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Houman Owhadi (California Institute of Technology)
Principles and methods of Uncertainty Quantification, a mini-tutorial I
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Wednesday, September 13, 2017
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Morning Session
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8:00 - 9:00
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Breakfast (hosted by IPAM)
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9:00 - 10:00
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10:15 - 10:30
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Break
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10:30 - 11:30
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Houman Owhadi (California Institute of Technology)
Principles and methods of Uncertainty Quantification, a mini-tutorial II
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11:45 - 2:00
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Lunch (on your own)
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Afternoon Session
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2:00 - 3:00
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Thursday, September 14, 2017
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Morning Session
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8:00 - 9:00
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Breakfast (hosted by IPAM)
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9:00 - 10:00
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Graeme Henkelman (University of Texas at Austin)
Physical Sampling II: Kinetics
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10:15 - 10:30
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Break
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10:30 - 11:30
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Feliks Nüske (Rice University)
Coarse-graining in conformational space
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11:45 - 2:00
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Lunch (on your own)
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Afternoon Session
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2:00 - 3:00
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Noa Marom (Carnegie-Mellon University)
The complex high-dimensional energy landscapes of molecular crystals
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3:15 - 3:30
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Break
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3:30 - 4:30
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Friday, September 15, 2017
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Morning Session
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8:00 - 9:00
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Breakfast (hosted by IPAM)
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9:00 - 10:00
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Christof Schuette (Freie Universität Berlin)
Optimal control problems associated with complex energy landscapes: Challenges and paradigms
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10:15 - 10:30
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Break
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10:30 - 11:30
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Frank Noe (Freie Universität Berlin)
Machine learning methods for physics and chemistry 1: Regression and Kernel methods
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11:45 - 2:00
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Lunch (on your own)
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Afternoon Session
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2:00 - 3:00
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Lorenzo Boninsegna (Rice University)
Coarse-graining in physical space
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3:15 - 3:30
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Break
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3:30 - 4:30
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Frank Noe (Freie Universität Berlin)
Machine learning methods for physics and chemistry 2: Deep learning
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