Green Research Group
Our research uses theory, computation, and data to understand systems that perform useful dynamical functions. These functions include the assembly and replication of multiscale structures, the capture and conversion of energy, the regulation of chemical reaction networks for keeping time, and the generation of power. We are particularly interested in transforming chemical energy at the molecular scale into the dynamical functionality of synthetic and biological materials. To address the challenges of this problem, we are developing theory at the intersection of statistical mechanics, nonlinear dynamics, and data science. Our goal is to guide experiments and produce energy-efficient materials that harness flows of matter and energy to execute dynamical functions on finely tuned timescales.
News
| Sep 01, 2025 | Open positions in the group |
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| Jun 02, 2025 | Mohamed Sahbani successfully defended his Ph.D. Congratulations, Dr. Sahbani! |
| Feb 13, 2025 | UMass Boston recognized as R1 research institution. |
| Nov 19, 2024 | A nice write-up by NVIDIA’s Bo Dong describes cuPyNumeric and our early efforts at UMB using it to GPU accelerate our research. |
| Nov 18, 2024 | NVIDIA Founder/CEO Jensen Huang and NVIDIA VP/GM for Hyperscale and HPC Ian Buck announced cuPyNumeric and our research group at UMB as early adopters. See their special address at SC24 here. |