visual
visual

세미나

  • HOME
  • >
  • 소식
  • >
  • 세미나
날짜 2022-10-28 11:00 
연사  
장소 E6-2 #1323 
세미나 영상은 아래 링크로 확인 바랍니다. (공개기한: 2023.10.27까지)
 
o 일시: 2022. 10. 28(금)  11:00
o 장소: E6-2 Room 1323
o Zoom Link: https://kaist.zoom.us/j/83127228653  회의 ID:  831 2722 8653
 
o 연사: 김수란 교수(경북대학교 물리교육과)
o 강연주제: Machine-Learning-Guided Prediction Models and Materials discovery for high Tc Cuprates
Abstract
Cuprates have been at the center of long debate regarding their superconducting mechanism; therefore, predicting the critical temperatures of cuprates remains elusive. We demonstrate herein, using ab initio computations, a new trend suggesting that the cuprates with stronger out-of-CuO2-plane chemical bonding between the apical anion (O, Cl) and apical cation (e.g., La, Hg, Bi, Tl) are generally correlated with higher Tc;max in experiments. Also, using machine learning, we predict the maximum superconducting transition temperature (Tc,max) of hole-doped cuprates and suggest the functional form for Tc,max with the root-mean-square-error of 3.705 K and R2 of 0.969. We have found that the Bader charge of apical oxygen, the bond strength between apical atoms, and the number of superconducting layers are essential to estimate Tc,max. Furthermore, we predict the Tc,max of hypothetical cuprates generated by replacing apical cations with other elements. Among the hypothetical structures, the cuprates with Ga show the highest predicted Tc,max values, which are 71, 117, and 131 K for one, two, and three CuO2 layers, respectively. These findings suggest that machine learning could guide the design of new high-Tc superconductors in the future.
Attached: C.V
 
Inquiry: Prof. Se Kwon Kim(sekwonkim@kaist.ac.kr) / Prof. Hee Jun Yang (h.yang@kaist.ac.kr)
번호 날짜 연사 제목
공지 2025-04-29 10:00  Dr. Yeonju Go (Brookhaven National Laboratory)  Exploring the Hottest Matter in the Universe: Quark-Gluon Plasma through Hard Probes and Artificial Intelligence
공지 2025-05-01 16:00  Dr. Inwook Kim (Lawrence Livermore National Laboratory)  BSM Physics Search with Quantum Sensors
공지 2025-02-24 16:00    2025년 봄학기 콜로키움 안내
공지 2025-02-27 16:00    2025년 봄 물리학과 특별세미나 (광학/응집물리 분야)
541 2015-09-15 16:00    Physics Colloquium : 2014 Fall file
540 2022-03-14 16:00    Quantitative phase imaging and artificial intelligence: label-free 3D imaging, classification, and inference
539 2023-04-27 16:00    (광학분야 세미나)On-chip spectrometers based on CMOS image sensors
538 2021-05-27 16:00    찾아가는 물리연구 현장(유럽 입자물리학연구소 소개) file
537 2016-03-11 13:30    Physics Seminar Serises : 2016 Spring file
536 2022-11-03 16:00    (광학분야 세미나) Single-photon emission from low-dimensional materials
535 2015-09-07 16:00    Physics Colloquium : 2015 Fall file
534 2025-03-28 11:00  명노준 교수 (조선대)  Quantum Transport in Strained-Engineered Graphene: Mesoscopic Perspective of Tunable Quantum Information Devices file
533 2025-05-15 16:00  노찬 박사(KAIST)  Generation of multimode Gaussian quantum states and their applications for quantum computing file
532 2022-04-11 16:00    Emergence of Statistical Mechanics in Quantum Systems
531 2022-04-04- 16:00    New paradigms in Quantum Field Theory
530 2022-05-09 16:00    Searching for new electronic properties in correlated material flatland
529 2022-05-23 16:00    Novel electronic transport in topological van der Waals magnets
528 2011-09-03 16:00    Physics Colloquium : 2011 Fall file
527 2022-10-13 16:00    (광학분야 세미나) Ultrafast Optics for Ultra-Precision Metrology and Realization of Flexible/Stretchable Laser-Induced-Graphene Electronics
526 2020-11-12 16:00    2020 가을학기 광학분야 특별세미나
525 2022-10-07 11:00    [Update 세미나 영상] (응집물리 세미나) Competing orders in a vanadium-based kagome metal monolayer file
» 2022-10-28 11:00    [Update 세미나영상] (응집물리 세미나) Machine-Learning-Guided Prediction models and Materials discovery for high Tc cuprates file
523 2017-10-10 16:00    Discovery of New 2D Materials with Diverse Physical Properties
522 2023-04-06 16:00    (광학분야 세미나)Nanophotonics-based approaches to explore Berry physics