Все публикации

0:17:46

Fourier Neural Operator (FNO) [Physics Informed Machine Learning]

0:13:01

Neural Network Control in Collimator 2.0 & New Educational Videos!!!

0:21:28

SINDy-RL: Interpretable and Efficient Model-Based Reinforcement Learning

0:19:01

AI/ML+Physics: Preview of Upcoming Modules and Bootcamps [Physics Informed Machine Learning]

0:20:26

Using sparse trajectory data to find Lagrangian Coherent Structures (LCS) in fluid flows

0:00:21

Collimator 2.0 and Quanser!!!

0:14:51

Nonlinear parametric models of viscoelastic fluid flows with SINDy

0:11:39

[2/8] Control for Societal-Scale Challenges: Road Map 2030 [Societal Drivers]

0:10:19

[8/8] Control for Societal-Scale Challenges: Road Map 2030 [Recommendations]

0:09:16

[1/8] Control for Societal-Scale Challenges: Road Map 2030 [Introduction]

0:14:16

[5/8] Control for Societal-Scale Challenges: Road Map 2030 [Technology, Validation, and Transition]

0:02:38

🤯🤯🤯 Integrating GPT-4 into Collimator.ai for Symbolic Modeling and Control** 🔥🔥🔥

0:10:36

New Book!!! Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control

0:00:21

Complex analysis 101: imaginary numbers are real!

0:44:01

Chaotic Dynamical Systems

0:41:25

Linear Systems of Differential Equations with Forcing: Convolution and the Dirac Delta Function

0:16:04

Systems of Differential Equations with Forcing: Example in Control Theory

0:19:07

Measure-preserving EDMD: A 4-line structure-preserving & convergent DMD algorithm!

0:16:34

Residual Dynamic Mode Decomposition: A very easy way to get error bounds for your DMD computations

0:27:43

2x2 Systems of ODEs: Saddle Points and Instability

0:20:23

High-Order Ordinary Differential Equations with More Derivatives (from Physics)

0:31:31

More Examples of Second Order Differential Equations

0:41:53

Engineering Math Pre-Req: Quick and Dirty Introduction to Python

0:34:51

Engineering Math Pre-Req: Quick and Dirty Introduction to Matlab