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6 December 2023
Workshop - Scientific Machine Learning
Organizers are Benjamin Sanderse (Centrum Wiskunde & Informatica, the Netherlands), Mengwu Guo (University of Twente, the Netherlands) and Alexander Heinlein (TU Delft)!
When: 6 Dec 2023 from 9 a.m. to 8 Dec 2023 3 p.m. CET (GMT+0100)
Where: Amsterdam Science Park Congress Centre, Turing room
Where: Amsterdam Science Park Congress Centre, Turing room
Wednesday 6 December
Scientific computing with machine learning
Machine-learning-enhanced numerical methods, physics-informed machine learning
Scientific computing with machine learning
Machine-learning-enhanced numerical methods, physics-informed machine learning
09:30 coffee and registration
10:00 Jan Hesthaven [keynote], Neural networks as closure models
11:00 coffee
11:30 2*30 min. talks => Dongwei Yue (Twente); Benjamin Sanderse (CWI)
12:30 lunch
13:30 Stefania Fresca [keynote]
14:30 2*30 min. talks => Richard Dwight (Delft); Xiaodong Cheng (Wageningen)
15:30 poster session with drinks and bites
~17:00 end
10:00 Jan Hesthaven [keynote], Neural networks as closure models
11:00 coffee
11:30 2*30 min. talks => Dongwei Yue (Twente); Benjamin Sanderse (CWI)
12:30 lunch
13:30 Stefania Fresca [keynote]
14:30 2*30 min. talks => Richard Dwight (Delft); Xiaodong Cheng (Wageningen)
15:30 poster session with drinks and bites
~17:00 end
Thursday 7 December
Scientific computing for machine learning
Mathematical and computational theories for machine learning
Scientific computing for machine learning
Mathematical and computational theories for machine learning
09:30 Sid Mishra [keynote]
10:30 Coffee
11:00 2*30 min. talks =>Aron Jansen (eScience center); Silke Glas (Twente)
12:00 Lunch
13:00 Andrea Walther [keynote]
14:00 1*30 min. talk => Matthias Möller (Delft)
14:30 coffee
15:00 Panel discussion led by AI for Mathematics (AIM)
~16:30 end
10:30 Coffee
11:00 2*30 min. talks =>Aron Jansen (eScience center); Silke Glas (Twente)
12:00 Lunch
13:00 Andrea Walther [keynote]
14:00 1*30 min. talk => Matthias Möller (Delft)
14:30 coffee
15:00 Panel discussion led by AI for Mathematics (AIM)
~16:30 end
17:30 Dinner
Friday 8 December
Scientific machine learning in applications
Hybrid modeling and simulation for large-scale systems
Scientific machine learning in applications
Hybrid modeling and simulation for large-scale systems
09:30 Dirk Hartmann [keynote], Scientific Machine Learning in the Context of the Digital Twin - An industrial point of view
10:30 Coffee
11:00 Quercus Hernández Laín [keynote], Structure-preserving machine learning for dissipative systems: methods and applications
12:00 Lunch
13:00 end
10:30 Coffee
11:00 Quercus Hernández Laín [keynote], Structure-preserving machine learning for dissipative systems: methods and applications
12:00 Lunch
13:00 end
Aankomend >
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