University of Arkansas Power Group

Assistant Professor

University of Arkansas

Purdue University

Coupling of Machine Learning and Molecular Dynamics Simulations, Purdue University
08/2017-present	Interpretability of deep neural networks for predicting meniscus shape on structured surfaces 
06/2017-present	Quantum mechanical molecular dynamics simulations with on-the-fly machine learning for characterizing the water-catalyst interface during water splitting 

Atomistic Modeling of Transport Mechanisms in Nucleate Boiling on Structured Surfaces, Purdue University
01/2017-present	Effect of surface structures on thin film evaporation accounting for the liquid-vapor interfacial area, disjoining pressure and flow permeability 
09/2016-02/2017	Multiscale modeling of three-dimensional meniscus shape of a wetting film on structured surfaces

Post-Doctoral Research Associate

Cooling Technologies Research Center

Researcher and Educator
1. Develop advanced cooling technologies for high-power-density systems
2. Advance fundamental understanding of thermal transport in multi-phase systems
3. Develop non-intrusive condition monitoring and fault detection technologies for complex processes
4. Develop machine learning algorithms to solve engineering problems.

Taplio

Han Hu's Linkedin Analytics

Want to drive more opportunities from LinkedIn?

Taplio

.css-1jgreyo{background-image:linear-gradient(284deg, rgba(39,43,72,1) 0%, rgba(33,47,183,1) 100%);color:transparent;-webkit-background-clip:text;background-clip:text;}Han Hu's Linkedin Analytics

Want to drive more opportunities from LinkedIn?

Han Hu's Linkedin Analytics