Author: J.Park†, J.Kim†, S.Lee†, H.Kim†, H.Lim, J.Park, T.Yun, J.Lee, S.Kim, H.Jin, K.Park, H.Kang, H.Kim, H.Jin, J.Kim*, S.Kim*, B.Kim*Title: 2D MoS₂ Helical Liquid Crystalline Fibers for Multifunctional Wearable SensorsJournal: International Journal of Refractory Metals and Hard MaterialsYear: 2024Impact factor: 17.2Abstract:Fiber-based material systems are emerging as key elements for next-generation wearable devices due to their remarkable advantages, including large mechanical deformability, breathability, and high durability. Recently, greatly improved mechanical stability has been established in functional fiber systems by introducing atomic-thick two-dimensional (2D) materials. Further development of intelligent fibers that can respond to various external stimuli is strongly needed for versatile applications. In this work, helical-shaped semiconductive fibers capable of multifunctional sensing are obtained by wet-spinning MoS2 liquid crystal (LC) dispersions. The mechanical properties of the MoS2 fibers were improved by exploiting high-purity LC dispersions consisting of uniformly-sized MoS2 nanoflakes. Notably, three-dimensional (3D) helical fibers with structural chirality were successfully constructed by controlling the wet-spinning process parameters. The helical fibers exhibited multifunctional sensing characteristics, including (1) photodetection, (2) pH monitoring, (3) gas detection, and (4) 3D strain sensing. 2D materials with semiconducting properties as well as abundant surface reactive sites enable smart multifunctionalities in one-dimensional (1D) and helical fiber geometry, which is potentially useful for diverse applications such as wearable internet of things (IoT) devices and soft robotics.

Author: M.Kim†, J.Kim†, H.Kim, J.Kim*Title: High-Throughput Data-Driven Machine Learning Prediction of Thermal Expansion Coefficients of High-Entropy Solid Solution CarbidesJournal: International Journal of Refractory Metals and Hard MaterialsYear: 2024Impact factor: 3.6Abstract:Recent advances in machine learning and the expanding availability of materials data have enabled significant developments in materials science. In this study, novel configurations of high-entropy ceramic (HEC) materials were explored by predicting their coefficient of thermal expansion (CTE) using machine learning (ML) and high-throughput screening. A machine learning model was built using 3360 datasets containing the thermodynamic, elastic, and thermophysical properties of HEC with carbide configurations of (Ti0.2Ta0.2 × 0.2Y0.2Z0.2)C. The high correlation of the bulk and Young's moduli, and cohesive energy features with the CTE facilitated its prediction. The random forest (RF) and neural network (NET)-based models successfully reproduced the CTE reported in existing experimental and theoretical studies. Overall, first-principles calculation was implemented to configure a database for HEC and a new ML application method is proposed.

2024학년도 2학기 학·석사연계과정 지원 및 선발을 아래와 같이 진행하고자 하니 관심있는 학사과정생들이 지원할 수 있도록 안내하여 주시기 바랍니다.  1. 지원기간 : 2024.06.03(월)~06.14(금)2. 모집학과 : 학사과정과 석사과정에 동일(또는 유사)학과가 있는 학과(계약학과 제외)3. 지원자격 : 다음 각호 모두 해당되는 자가. 지원일 당시 학사과정 4학기 이상 6학기 이내 재학 중(건축학부 건축학전공은 6학기 이상 8학기 이내 재학 중)인 자(학·석사연계과정 신청자는 조기졸업 신청을 할 수 없음)나. 재수강 이전 과목, 학점포기한 과목, F학점 과목 등을 포함한 전체 과목의총평점평균이 3.0 / 4.5 이상인 자다. 7학기 또는 8학기(건축학부 건축학 전공은 9학기 또는 10학기)에 학사과정의 졸업요건을 충족할 수 있는 자라. 지원하고자 하는 일반대학원 학과 주임교수와 지도교수의 추천을 받은 자마. 지원하고자 하는 일반대학원의 동일(또는 유사)학과를 주전공 또는 복수전공으로 하는자4. 제출서류 및 지원방법가. 학·석사연계과정 신청서 1부.나. 대학원 교학팀으로 방문 접수(웨스트민스터홀 658호)5. 선발인원 : 석사과정 입학정원의 20%6. 발표일 : 2024.07.26(금) 예정 - 학과 및 개별통지7. 관련안내가. 대상 : 지원가능 대상자 및 학과나. 방법 : 안내문 배포 및 대학원 홈페이지 공지8. 문의처 : 대학원 교학팀(02-820.0258~9 , grad@ssu.ac.kr)  붙임 : 1. 2024-2학·석사연계과정 안내문 1부.2. 학·석사연계과정 신청서 1부. 끝.

개강을 기념해 CMD 식구들과 함께 식사하는 시간을 가졌습니다.이번 학기도 모두 화이팅!

교수님과 함께 회식을 진행하였습니다!식사 후에 교수님과 함께 볼링장을 방문해 볼링을 쳤습니다.다음에도 함께 볼링을 치며 즐거운 시간 보내면 좋겠습니다!

교수님께서 요아정을 사주셔서 다함께 맛있게 먹었습니다! 감사합니다 교수님!