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
340 2018-10-19 10:00  #1323, E6-2  Energy conversion processes during magnetic reconnection in a laboratory plasma file
339 2018-12-07 16:00  E6-2. 1st fl. #1323  Novel probes of interacting electrons in 2D systems file
338 2019-09-27 14:30  E6-2. 1st fl. #1323  Spin-charge conversion in topological insulators for spintronic applications file
337 2022-11-04 16:30  Zoom  초세대 협업연구실 Quantum- & Nano-Photonics_Multifunctional neural probes with integrated nanophotonics file
336 2019-11-01 16:00  E6-2. 1st fl. #1323  Electron transport through weak-bonded contact metal with low dimensional nano-material file
335 2017-07-14 15:00  #1323 (E6-2. 1st fl.)  Chiral anomaly in disordered Weyl semimetals file
334 2018-07-27 13:30  #1323, E6-2  Magnetic reversal of artificial spin ice file
333 2018-07-27 13:30  #1323, E6-2  Magnetic reversal of artificial spin ice file
332 2015-12-17 11:00  E4(KI Building), Matrix Hall (2nd fl.)  Wavefront engineering for in-vivo Deep brain imaging
331 2022-12-20 16:00  E6-2.1st fl. #1323 & zoom  Studying Baryonic Flow Across the Cosmic Scales Using Radio and Millimeter Wavelength Experiments
330 2016-10-18 15:00  E6-2. 1st fl. #1323  “Hybrid quantum systems with mechanical oscillators”
329 2016-07-08 14:00  #1323(E6-2. 1st fl.)  Electronic quasiparticles in the quantum dimer model
328 2015-11-24 16:00  E6-2, #1323  Topology-based understanding of spin dynamics in inhomogeneously magnetized systems
327 2022-04-01 16:00  Zoom webinar  High-field Electron Transport and Interaction Induced Phenomena in 2D Materials file
326 2018-11-29 16:00  #1323, E6-2  양자 칸델라 실현을 위한 단일 광자 발생장치 개발 file
325 2021-06-11 16:00  Online seminar  Pseudogap in surface-doped black phosphorus file
324 2016-11-11 13:30  #1323(E6-2. 1st fl.)  Bandgap Engineering of Black Phosphorus
323 2016-04-01 14:30  E6-2. 1st fl. #1501  Interference of single charged particles without a loop and dynamic nonlocality
322 2016-05-31 16:00  #1323(E6-2, 1st fl.)  Understanding 3D tokamak physics towards advanced control of toroidal plasma
321 2018-05-11 14:30  E6-2. 1st fl. #1323  Disordered Floquet topological insulators file