LI, Yuheng - HKUST Class Schedule & Quota

Class Schedule & Quota
2026-27 Fall 2025-26 Summer 2025-26 Spring 2025-26 Winter
2026-27 Fall
Common Core Course
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COURSE INFO

DESCRIPTION	Machine learning (ML) has become one of the most useful and important tools in scientific research. This course provides the fundamentals and useful insight into where ML could have the greatest impact for the students dedicated to energy materials research. The lectures provide example methods for ML applied to experiments and simulations, covering the early stages of building an ML solution for a materials science problem, the issue of how to build more robust models, the use of ML to accelerate or augment simulations, how ML is applied to analyze and process experimental data, and how ML can be used in the discovery of new energy materials on computers.

DESCRIPTION

Machine learning (ML) has become one of the most useful and important tools in scientific research. This course provides the fundamentals and useful insight into where ML could have the greatest impact for the students dedicated to energy materials research. The lectures provide example methods for ML applied to experiments and simulations, covering the early stages of building an ML solution for a materials science problem, the issue of how to build more robust models, the use of ML to accelerate or augment simulations, how ML is applied to analyze and process experimental data, and how ML can be used in the discovery of new energy materials on computers.

SEEN 6001A - Machine Learning for Energy Materials (3 units)

Section	Date & Time	Room	Instructor	Quota	Enrol	Avail	Wait	Remarks
L01 (6202)	Tu 09:00AM - 11:50AM	Rm 202, W2	LI, Yuheng	20	15	5	0