Last semester, I assigned students in my energy storage systems class a problem set comparing the electrical designs of supercapacitors, lithium-ion batteries and flywheel systems. One submission ...

$$\Vert \nabla_r T(\textbf{x}_s, \textbf{x}_r) \Vert = \frac{1}{v(\textbf{x}_r)}$$ $$\Vert \nabla_s T(\textbf{x}_s, \textbf{x}_r) \Vert = \frac{1}{v(\textbf{x}_s ...

Microbial communities drive essential biological processes across ecosystems, yet predicting their dynamics and functions remains challenging due to context-dependent interactions. We develop a ...

Explore NVIDIA's free AI courses available in 2025, all completable in under eight hours. Learn to build RAG Agents for large language models, enhancing productivity through informed user interactions ...

Balaji wasn’t your archetypal Silicon Valley visionary. He wasn’t a grizzled founder with a decade of battle scars or a loud-mouthed tech bro proclaiming himself the savior of humanity. He was just a ...

An implementation of Physics-Informed Neural Networks (PINNs) to solve various forward and inverse problems for the 1 dimensional wave equation.

Inertial microfluidics allows for passive, label-free manipulation of particles suspended in a fluid. Physical experiments can understand the underlying mechanisms to an extent whereby inertial ...

Randomized experiments are the gold standard for assessing the impact of various decisions, including policy changes, medical treatments, or product enhancements. However, these experiments often face ...

This work develops a physics-informed transfer learning framework for modeling and control of a nonlinear process network with limited training data. Unlike the conventional transfer learning method ...