Author: 공과대학 교학팀

Advancements and Challenges in the Machining Process of CFRP

This presentation provides a comprehensive review of the both CFRP drilling and trimming process, encompassing both conventional machining techniques and unconventional approaches. The study investigates a range of methods including conventional cutting, laser beam machining, robot arm machining, electrical discharge machining, and ultrasonic machining, evaluating...

How to Use LLM(Large Language Model)

해당 세미나와 관련한 자료는 붙임의 발표자료를 참고하시기 바랍니다....

Carrier-resolved Photo-Hall Effect

Majority and minority carrier properties represent fundamental parameters governing semiconductor device performance. Obtaining this information simultaneously under light illumination would unlock many critical parameters such as recombination lifetime, recombination coefficient, and diffusion length; while of critical importance for optoelectronic devices and solar cells, this goal...

카이랄 광학 소재 및 Soft 소재의 Tunable, Stretchable&Sensor 응용

Acoustic Sensor Technology for Sonar systems

Maritime Technology Research Institute in Agency for Defense Development has been developed various Sonar (Sound Navigation and Ranging) systems for naval surface ships and submarines. Sonar systems detect and locate targets by detecting radiated sound or receiving reflected echoes from targets. Underwater acoustic sensors in...

New Safety Systems for the Korean Advanced Nuclear Reactors and Experimental Programs for their Developments

Supercharged Protein Analysis in the era of AI

※ 에너지화학공학과 공동운영 세션 Protein analysis has witnessed a revolution through sophisticated AI methodologies. At the forefront are highly accurate structure prediction methods, alongside advanced language models. Structure prediction methods such as AlphaFold2 and ESMFold have generated an avalanche of publicly available protein structures. The AlphaFold...

Supercharged Protein Analysis in the era of AI

Protein analysis has witnessed a revolution through sophisticated AI methodologies. At the forefront are highly accurate structure prediction methods, alongside advanced language models. Structure prediction methods such as AlphaFold2 and ESMFold have generated an avalanche of publicly available protein structures. The AlphaFold database and ESMatlas...