Physical Applied Mathematics
This area has two complementary goals:
- to develop new mathematical models and methods of broad utility to science and engineering; and
- to make fundamental advances in the mathematical and physical sciences themselves.
Our department has made major advances in each of the following areas. We've developed a theoretical framework to describe the induced-charge mechanism for nonlinear electro-osmotic flow. Our work in biomimetics focuses on elucidating mechanisms exploited by insects and birds for fluid transport on a micro-scale. These and other activities in digital microfluidics and nanotechnology have applications in biologically inspired materials such as a unidirectional super-hydrophobic surface, and devices such as the `lab-on-a-chip' and micropumps. The theory of transport phenomena} provides a variety of useful mathematical techniques, such as continuum equations for collective motion, efficient numerical methods for many-body hydrodynamic interactions, measures of chaotic mixing, and asymptotic analysis of charged double layers. Nanophotonics is the study of electromagnetic wave phenomena in media structured on the same lengthscale as the wavelength, and is an active area of study in our group, for example to allow unprecedented control over light from ultra-low-power lasers to hollow-core optical fibers. New mathematical tools may be useful here, to give rigorous theorems for optical confinement and to understand the limit where quantum and atomic-scale phenomena become significant. Granular materials provide challenging problems of collective dynamics far from equilibrium. The intermediate nature (between solid and fluid) of dense granular matter defies traditional statistical mechanics and existing continuum models from fluid dynamics and solid elasto-plasticity. Despite two centuries of research in engineering, no known general continuum model describes flow fields in multiple situations (say, in silo drainage and in shear cells), let alone diffusion or mixing of discrete particles. A fundamental challenge is to derive continuum equations from microscopic mechanisms, analogous to collisional kinetic theory of simple fluids. On a far larger scale, we have also been remarkably successful in unraveling some of the curious dynamics of galaxies.
Department Members in This Field
Faculty
- Martin Bazant Applied Mathematics, Theoretical Physics, Electrokinetics, Electrochemistry, Chemical Engineering
- John Bush Fluid Dynamics
- Jörn Dunkel
- Anette Hosoi Fluid Dynamics, Numerical Analysis
- Steven Johnson Waves, PDEs, Scientific Computing
- Arnaud Lazarus Dynamical systems, stability, Floquet theory, hydrodynamic quantum analogs, model experiments
- Rodolfo Rosales Nonlinear Waves, Fluid Mechanics, Material Sciences, Numerical pde
Instructors & Postdocs
- Karol Bacik Fluid Dynamics, Complex Systems
- Joseph Berleant Representation theory, Geometric algebra
- Petur Bryde
- Pengning Chao Scientific computing, Nanophotonics, Inverse problems, Fundamental limits
- Nicholas Derr Active matter, scientific computing, continuum mechanics, poroelasticity, fluid-solid interaction
- Chenyi Fei Theoretical Biophysics, Mathematical Modeling
- Ludovico Theo Giorgini Stochastic Processes, Dynamical Systems, Machine Learning
- Max Lipton Minimal Surfaces, Physical Knot Theory, Dynamical Systems
- Bauyrzhan Primkulov Hydrodynamic Quantum Analogs, Interfacial Fluid Dynamics
Researchers & Visitors
- Keaton Burns PDEs, Spectral Methods, Fluid Dynamics
- Raphaël Pestourie Surrogate Models; ML-enhanced Optimization; Optical Computing.
Graduate Students*
- Rodrigo Arrieta Candia Numerical methods for PDEs, Numerical Analysis, Scientific Computing, Computational Electromagnetism
- Joel Been Nonlinear Waves, Inverse Scattering Transform, Fractional Calculus
- Andrey Bryutkin Mathematics of Data, Statistics, Physical Applied Mathematics
- Diego Chavez Physical Applied Math, Waves
- Mo Chen Optimization, Scientific Computing
- David Darrow Applied Math, Fluid Dynamics
- Davis Evans Hydrodynamic Quantum Analogs
- Andrey Khesin Quantum Computing
- Cameron Krulewski
- Ivan Motorin Cluster Algebras, Resolution of Singularities, Representation Theory, Integrable Systems
- Janko Ondras
- Sarah Snider Physical Applied Mathematics, Computational Fluid Dynamics
- Ashu Tripathi
- Harry Walden
- Shijie Zhang
*Only a partial list of graduate students