Network on Mathematical Data Science for Materials Science
The purpose of the Network on Mathematical Data Science for Materials Science is to bring together both leading experts and early career researchers in order to explore the state-of-the-art development in mathematical data science for materials science.
The purpose of the Network on Mathematical Data Science for Materials Science is to bring together both leading experts and early career researchers in order to explore the state-of-the-art development in mathematical data science for materials science.
Organisers:
Organisers:
- Dr Xiaocheng Shang (School of Mathematics, University of Birmingham)
- Professor Benedict Leimkuhler FRSE (School of Mathematics, University of Edinburgh)
- Professor Paola Carbone (Department of Chemistry, University of Manchester)
- Dr Thomas Hudson (Mathematics Institute, University of Warwick)
- Dr James Foster (Department of Mathematical Sciences, University of Bath)
Events:
Events:
- Workshop on Synergies Between Mathematics, Data Science, and Molecular Simulations in Materials Science, University of Birmingham, 3-5 July 2024
- Workshop on Model Reduction and Simulation at the Atomistic Scale, University of Warwick, 26 January 2024
- Workshop on Machine Learning and Simulation of Stochastic Dynamics with Applications in Materials Science, University of Birmingham, 21-22 September 2023
Funding:
We acknowledge funding from the Isaac Newton Institute for Mathematical Sciences via its Network Support for the Mathematical Sciences initiative (EPSRC Grant Ref: EP/V521929/1), as well as the London Mathematical Society via its Joint Research Groups in the UK scheme. Funding:
