Designing and exploring super functional materials and devices using evolutionary and deep learning methods

2023.12.20
340

Subject

Designing and exploring super functional materials and devices using evolutionary and deep learning methods

Date

Dec. 28 (Th.), 2023 / 16:00 ~ 17:00

Speaker

In-Ho Lee[Korea Research Institute of Standards and Science(KRISS)]

Place

(E3-2) / Woo-Ri Byul Hall (Rm. 2201)/ Zoom: https://kaist.zoom.us/j/5527435408

Overview:

– Date & Time: Dec. 28 (Th.), 2023 / 16:00 ~ 17:00

– Place: KAIST, Information & Electronics Bldg. (E3-2) / Woo-Ri Byul Hall (Rm. 2201)

– Zoom: https://kaist.zoom.us/j/5527435408

– Title : Designing and exploring super functional materials and devices using evolutionary and deep learning methods

– Lecturer : In-Ho Lee[Korea Research Institute of Standards and Science(KRISS)]

– Abstract:

Using evolutionary learning methods and generative models, I will introduce quantum materials design cases and 5G frequency-selective filter design cases.

Specific research cases will be briefly discussed, including solar cells, LEDs, superconductors, topological superconductors and 5G frequency-selective filters.

In this talk, I’ll highlight how artificial intelligence technology has been used to design previously unimaginable super functional materials/devices.

– Contact: Prof. Yong-Hoon Kim, School of Electrical Engineering & EDISON 2.0 Semiconductor Physics Center, KAIST(y.h.kim@kaist.ac.kr)

Profile:

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Designing and exploring super functional materials and devices using evolutionary and deep learning methods

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