Daniel Matthes

Daniel Matthes is a Prof. Dr. rer. nat. at the Technical University of Munich, Department of Mathematics. He holds an associate professorship in the field of mathematics and has contributed extensively to research in partial differential equations, particularly in the areas of gradient flows and nonlinear diffusion. His work includes the study of entropy methods, discrete Cauchy problems, and applications to models in economics and physics. Matthes has authored numerous publications in prestigious mathematical journals, focusing on topics such as entropy dissipation, Sobolev inequalities, and the analysis of kinetic equations.

Daniel Matthes is a Professor of Mathematics at Technische Universität München, specializing in Dynamische Systeme and Partielle Differentialgleichungen. His research focuses on the analysis of nonlinear partial differential equations, particularly gradient flow equations, and their applications in modeling complex systems. He has contributed significantly to the study of fourth-order equations, kinetic models for wealth redistribution, and quantum hydrodynamic equations. His work also includes the development of numerical schemes for solving nonlinear diffusion and drift diffusion equations, emphasizing variational and Lagrangian approaches. Matthes' research bridges theoretical analysis with computational methods, addressing both existence and long-time behavior of solutions.