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.

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Media items

Analysis and interpretation of single molecule force spectroscopy experiments

   10 views

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...

   14 views

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

   9 views

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

   14 views

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

   21 views

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

   8 views

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

   15 views

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

   11 views

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

   9 views

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

   10 views

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

   13 views

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

   8 views

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

   7 views

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

   10 views

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