United States of America
Eric Darve has done PhD, Paris VI University, Paris, Applied Mathematics (1999), MS, Paris IX University, Paris, Applied Mathematics (1994), BS, Paris VI University, Paris, Mathematics and Physics (1993) and now working as Associate Professor in the department of Mechanical Engineering at Stanford University.
Professor Darve's research is focused on the development of numerical methods for large scale scientific computing with applications in biomolecular simulations, acoustics, electromagnetics, and microfluidics. In these applications, the computational expense of simulating large and complex systems is very significant and in many instances beyond current computer capabilities. He is developing innovative numerical techniques to reduce this computational expense and enable the simulation of complex systems over realistic time scales. Professor Darve also uses processors with novel architectures, such as GPUs and the Cell processor, for scientific computing. Applications range from particle simulation to fluid dynamics and solving partial differential equations.
Aminfar A, Darve E (2016) A fast, memory efficient and robust sparse preconditioner based on a multifrontal approach with applications to finite-element matrices INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING 107: 520-540.
Coulier P, Darve E (2016) Efficient mesh deformation based on radial basis function interpolation by means of the inverse fast multipole method COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING 308: 286-309.