07:45  08:15  Registration  205 Carver Hall  
08:15  08:30  Opening remarks  205 Carver Hall  
08:30  09:15  Plenary Talk #1 Hongkai Zhao, Duke University How much can one learn a PDE from a single solution data? In this presentation, we discuss a few basic questions for PDE learning from observed solution data. Using various types of PDEs as examples, we show (1) how large the data space spanned by all snapshots along a solution trajectory is, (2) if one can construct an arbitrary solution by superposition of snapshots of a single solution, and (3) identifiability of a differential operator from a single solution data on local patches. 
205 Carver Hall  
09:15  9:45  Coffee Break  205 Carver Hall  
09:45  11:15 
Contributed Talks #1

202 Carver Hall  
Contributed Talks #2

204 Carver Hall  
11:30  12:15  Plenary Talk #2 Ann Almgren, Lawrence Berkeley National Lab Adaptive mesh refinement: algorithms and applications Adaptive mesh refinement (AMR) is one of several techniques for adapting the
spatial resolution of a simulation in particular regions of the spatial domain.
Blockstructured AMR specifically refines the mesh by defining locally structured
regions with finer spatial, and possibly temporal, resolution.
This combination of locally structured meshes within an irregular global hierarchy
is in some sense the best of both worlds in that it enables regular local data access
while enabling greater flexibility in the overall computation.

205 Carver Hall  
12:15  13:45  Lunch on your own  
13:45  14:30  Plenary Talk #3 William J. Layton, University of Pittsburgh The challenge of accurate prediction of fluid motion Over the last 40 years there have been great advances in computer hardware, solvers (methods for solving Ax=b), meshing algorithms, time stepping methods, adaptivity and so on. Yet accurate prediction of fluid motion (for settings where this is needed) is still elusive. This talk will review three major hurdles that remain: ensemble simulations, time accuracy and model stagnation. Three recent ideas where numerical analysis can help push forward the boundary between what can be done and what can't be done will be described. This talk is based on joint work with Catalin Trenchea, Ming Chen, Michael McLaughlin, Kiera Kean, Wenlong Pei, Nan Jiang, Joe Fiordelino, Ali Pakzad, Victor DeCaria, Yao Rong, Yi Li, Li Qin, Haiyun Zhao, Yong Li, Ahmet Guzel, Songul KayaMerdan, Michael Schneier and …. 
205 Carver Hall  
14:45  16:15 
Contributed Talks #3

202 Carver Hall  
Contributed Talks #4

204 Carver Hall  
16:15  17:30 
Poster Session and Coffee Break

205 Carver Hall  
18:30  20:30  Conference Dinner Reiman Gardens (Garden Room) 1407 University Blvd Ames, IA 50011 Phone: 515.294.2710 
Reiman Gardens (Garden Room) 