Welcome!
The Computational Mechanics Laboratory (CML) at Tufts University pushes the frontiers of interdisciplinary research, uniting fluid and solid mechanics, soft condensed matter, biology, and biomedicine through the synergistic use of mathematical modeling and high-performance computing.
Our work focuses on the multiscale fluid–structure interactions (FSI) that emerge in both passive and active systems, where the dynamic coupling between flow and structure can drive complex, often surprising phenomena. By bridging the full spectrum of long- and short-range interactions, we seek to reveal the fundamental physical principles that govern these systems, illuminate the multiscale origins of their behavior, and translate this knowledge into new paradigms for energy conversion, adaptive robotics, and biomedical technologies. Beyond advancing fundamental understanding, we actively explore how these insights can inform the design of next-generation materials, microswimmers, and bioinspired devices. Our interdisciplinary approach positions us to tackle challenges in science and engineering, from understanding cellular mechanics to developing novel strategies for soft robotic control.
We design and advance novel computational tools to tackle complex, nonlinear fluid–solid interaction problems across scales, from discrete particles to continuous media. Our research spans a wide range of numerical methods for FSI, including the Arbitrary Lagrangian-Eulerian (ALE) method, Cartesian grid approaches (e.g., immersed boundary methods), particle-based techniques (e.g., lattice Boltzmann methods), sharp-interface formulations (e.g., finite element methods), the boundary integral method, and fast summation algorithms that enable large-scale, high-fidelity simulations.