Nonlinear oscillator chains: stochastic stability, thermodynamics, and data-driven computa — NSF Award to University of Massachuse
Understanding how energy moves through nonlinear systems is essential for progress in many areas of science and engineering, including fluid dynamics, neuroscience, and the design of advanced materials. This project studies a mathematical model known as a nonlinear oscillator chain, where interactions between neighbori
| Award title | Nonlinear oscillator chains: stochastic stability, thermodynamics, and data-driven computa |
|---|---|
| Award ID | 2510209 |
| Awardee | University of Massachusetts Amherst |
| City | AMHERST |
| State | MA |
| Amount obligated | $225,000 |
| Principal investigator | Yao Li |
| Program | APPLIED MATHEMATICS |
| Start date | 09/01/2025 |
| Abstract | Understanding how energy moves through nonlinear systems is essential for progress in many areas of science and engineering, including fluid dynamics, neuroscience, and the design of advanced materials. This project studies a mathematical model known as a nonlinear oscillator chain, where interactions between neighboring components can create complex, cascading flows of energy between different scales. Such systems serve as simplified yet powerful representations of more complicated physical pro |
| Source | NSF Awards |
$799/mo
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