Rafi Blumenfeld is a Research Fellow in ESE at Imperial College; a Distinguished Professor and a 1000-talent plan awardee at the National University of Defence Technology, Changsha China; a Bye-Fellow of Gonville and Caius College in Cambridge; and a long-term formal associate member of the Cavendish Laboratory, Cambridge University. He held positions at Cambridge, Princeton and Warwick universities and Los Alamos National Lab. He was also a project leader at a large software company.
Recent Measures of Esteem
Rafi`s background is in statistical and condensed matter physics, which he has used to explore new methodologies of modelling granular, porous and cellular materials. His contributions to the field include: development of a first-principles stress theory for dry granular media, development of a method to quantify granular, porous and cellular microstructure in two and three dimensions, formulating a model for flow of dense granular fluids (the da Vinci model), and formulating a new statistical mechanics for granular and porous materials.
Rafi has over 100 publications and he has delivered plenary, keynote lectures and invited talks in numerous conferences and colloquia. He has received a number of awards and grants. Since 2012 he is an editor of the journal Granular Matter (Springer).For more information, full CV and publication list, please see Rafi`s personal page: http://rafi.blumenfeld.co.uk.
et al., 2010, da Vinci fluids, catch-up dynamics and dense granular flow, European Physical Journal E, Vol:32, ISSN:1292-8941, Pages:333-338
et al., 2012, Interdependence of the Volume and Stress Ensembles and Equipartition in Statistical Mechanics of Granular Systems, Physical Review Letters, Vol:109, ISSN:0031-9007
et al., 2009, On Granular Stress Statistics: Compactivity, Angoricity, and Some Open Issues, Journal of Physical Chemistry B, Vol:113, ISSN:1520-6106, Pages:3981-3987
et al., 2008, Stress chain solutions in two-dimensional isostatic granular systems: Fabric-dependent paths, leakage, and branching, Physical Review Letters, Vol:101, ISSN:0031-9007
et al., 2008, Structural characterization and statistical properties of two-dimensional granular systems, Physical Review E, Vol:77, ISSN:1539-3755