Model-Data Integration in Physical Systems
| Created: | 2014-03-20 16:43 |
|---|---|
| Institution: | Isaac Newton Institute for Mathematical Sciences |
| Description: | The workshop is concerned with the subject of blending observational data with complex models, primarily in the physical sciences, with the aim of making improved predictions. The increasing complexity of phenomena that scientists and engineers wish to model, together with our increased ability to gather, store, and interrogate data, mean that the subjects of applied mathematics and statistics are increasingly required to work in conjunction in order to significantly progress understanding.
Applications are far reaching and include the atmospheric sciences, geophysics, chemistry and signal processing. The workshop will bring together experts reflecting applied, computational, methodological and theoretical aspects of the subject area. |
Media items
This collection contains 14 media items.
Media items
Analysis and interpretation of single molecule force spectroscopy experiments
Brujic, J (New York University)
Tuesday 18 March 2014, 12:15-12:55
Collection: Model-Data Integration in Physical Systems
Institution: Isaac Newton Institute for Mathematical Sciences
Created: Fri 21 Mar 2014
Dimension reduction, coarse-graining and data assimilation in high-dimensional dynamical systems: modeling and...
Vanden-Eijnden, E (Courant Institute of Mathematical Sciences)
Monday 17 March 2014, 09:10-09:50
Collection: Model-Data Integration in Physical Systems
Institution: Isaac Newton Institute for Mathematical Sciences
Created: Thu 20 Mar 2014
Extracting spatiotemporal patterns from data with dynamics-adapted kernels
Giannakis, D (New York University)
Tuesday 18 March 2014, 11:30-12:10
Collection: Model-Data Integration in Physical Systems
Institution: Isaac Newton Institute for Mathematical Sciences
Created: Fri 21 Mar 2014
Filter divergence and EnKF
Kelly, D (University of North Carolina)
Tuesday 18 March 2014, 09:55-10:35
Collection: Model-Data Integration in Physical Systems
Institution: Isaac Newton Institute for Mathematical Sciences
Created: Fri 21 Mar 2014
Filtering partially observed chaotic deterministic dynamical systems
Sanz-Alonso, D (University of Warwick)
Monday 17 March 2014, 15:15-15:55
Collection: Model-Data Integration in Physical Systems
Institution: Isaac Newton Institute for Mathematical Sciences
Created: Fri 21 Mar 2014
Gaussian mixture transition models for identification of slow processes in molecular kinetics
Wu, H (Freie Universität Berlin)
Tuesday 18 March 2014, 15:15-15:55
Collection: Model-Data Integration in Physical Systems
Institution: Isaac Newton Institute for Mathematical Sciences
Created: Fri 21 Mar 2014
Gaussian process regression in molecular modelling
Csanyi, G (University of Cambridge)
Monday 17 March 2014, 09:55-10:35
Collection: Model-Data Integration in Physical Systems
Institution: Isaac Newton Institute for Mathematical Sciences
Created: Thu 20 Mar 2014
Implicit particle methods for high dimensional highly nonlinear systems
Miller, R (Oregon State University)
Monday 17 March 2014, 12:15-12:55
Collection: Model-Data Integration in Physical Systems
Institution: Isaac Newton Institute for Mathematical Sciences
Created: Fri 21 Mar 2014
Modeling of unresolved scales with data-inferred stochastic processes
Crommelin, D (Centrum voor Wiskunde en Informatica (CWI))
Monday 17 March 2014, 11:30-12:10
Collection: Model-Data Integration in Physical Systems
Institution: Isaac Newton Institute for Mathematical Sciences
Created: Fri 21 Mar 2014
Multi model mixture density estimators & information theory for stochastic filtering and prediction
Branicki, M (University of Edinburgh)
Tuesday 18 March 2014, 16:50-17:30
Collection: Model-Data Integration in Physical Systems
Institution: Isaac Newton Institute for Mathematical Sciences
Created: Fri 21 Mar 2014
Particle filters for very high dimensional systems
van Leeuwen, P (University of Reading)
Tuesday 18 March 2014, 09:10-09:50
Collection: Model-Data Integration in Physical Systems
Institution: Isaac Newton Institute for Mathematical Sciences
Created: Fri 21 Mar 2014
Projecting multiscale processes and an approach to clustering of directed networks
Sarich, M (Freie Universität Berlin)
Tuesday 18 March 2014, 14:30-15:10
Collection: Model-Data Integration in Physical Systems
Institution: Isaac Newton Institute for Mathematical Sciences
Created: Fri 21 Mar 2014
Transition path processes
Lu, J (Duke University)
Monday 17 March 2014, 16:50-17:30
Collection: Model-Data Integration in Physical Systems
Institution: Isaac Newton Institute for Mathematical Sciences
Created: Thu 20 Mar 2014
Using evolutionary sequence variation to make inferences about protein structure and function
Colwell, L (University of Cambridge)
Monday 17 March 2014, 14:30-15:10
Collection: Model-Data Integration in Physical Systems
Institution: Isaac Newton Institute for Mathematical Sciences
Created: Thu 20 Mar 2014