visual
visual

세미나

  • HOME
  • >
  • 소식
  • >
  • 세미나
날짜 2022-10-28 11:00 
일시 Oct. 28 (Fri), 11:00AM 
장소 E6-2 #1323 
연사 김수란(경북대 물리교육과 교수) 
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 장소 제목
공지 2022-11-25 11:00  E6-2 #1323  [Update 세미나영상](응집물리 세미나) DMFT+ NRG: From models to real materials, from local to nonlocal correlations
400 2015-09-15 16:00  E6, 1501  Physics Colloquium : 2014 Fall file
399 2022-03-14 16:00  E6, #1501  Quantitative phase imaging and artificial intelligence: label-free 3D imaging, classification, and inference
398 2021-05-27 16:00  온라인  찾아가는 물리연구 현장(유럽 입자물리학연구소 소개) file
397 2016-03-11 13:30  E6-2, 1501 외  Physics Seminar Serises : 2016 Spring file
396 2022-11-03 16:00  E6-2 #1323  (광학분야 세미나) Single-photon emission from low-dimensional materials
395 2015-09-07 16:00  E6, 1501  Physics Colloquium : 2015 Fall file
394 2022-04-11 16:00  E6, #1501  Emergence of Statistical Mechanics in Quantum Systems
393 2022-04-04- 16:00  E6, #1501  New paradigms in Quantum Field Theory
392 2022-05-09 16:00  E6, #1501  Searching for new electronic properties in correlated material flatland
391 2022-05-23 16:00  E6, #1501  Novel electronic transport in topological van der Waals magnets
390 2011-09-03 16:00  E6, 1501  Physics Colloquium : 2011 Fall file
389 2022-10-13 16:00  E6-2 #1323  (광학분야 세미나) Ultrafast Optics for Ultra-Precision Metrology and Realization of Flexible/Stretchable Laser-Induced-Graphene Electronics
388 2020-11-12 16:00  E6-2 1323  2020 가을학기 광학분야 특별세미나
387 2022-10-07 11:00  E6-2 #1323  [Update 세미나 영상] (응집물리 세미나) Competing orders in a vanadium-based kagome metal monolayer file
» 2022-10-28 11:00  E6-2 #1323  [Update 세미나영상] (응집물리 세미나) Machine-Learning-Guided Prediction models and Materials discovery for high Tc cuprates file
385 2017-10-10 16:00  E6-2 #1323  Discovery of New 2D Materials with Diverse Physical Properties
384 2022-11-17 16:00  E6-2 #1323  (광학분야 세미나) Ultrastructural and Spectroscopic Studies by Super-Resolution Fluorescence Microscopy
383 2022-09-22 16:00  E6-2 #1323  (광학분야 세미나) Quasi-particle-like optical vortices in magnetic materials
382 2022-02-28 16:00  E6, #1501  Spin-based training of optical microscopes
381 2022-12-09 11:00  E6-2 #1323  [Update 세미나영상](응집물리 세미나) Single-shot measurements of strongly-correlated artificial molecular levels in semiconductor quantum dots file