교원프로필

김세영 사진
교원에 대한 정보를 나타내는 표입니다.
성명 김세영
소속 신소재공학과
전화번호 054-279-2133
E-mail kimseyoung@postech.ac.kr
Homepage http://ace.postech.ac.kr

학력

  • 2008.09 ~ 2012.05 UNIV. OF TEXAS AT AUSTIN (박사-Semiconductor Device)
  • 2006.09 ~ 2008.08 UNIV. OF TEXAS AT AUSTIN (석사-Semiconductor Device)
  • 1999.03 ~ 2006.08 서울대학교 (학사-전기정보공학)

주요경력

  • 2012.07 ~ 2019.12 : IBM CORPORATION

전문분야

학술지

국제전문학술지

  • Signal and noise extraction from analog memory elements for neuromorphic computing, Nature Communications, , 9, - (2018)
  • Unveiling the carrier transport mechanism in epitaxial graphene for forming wafer-scale, single-domain graphene, Proceedings of the National Academy of Sciences of the United States of America, , 114, 4082-4086 (2017)
  • Neuromorphic computing using non-volatile memory, Advances in Physics-x, , 2, 89-124 (2017)
  • Quantum Hall effect in Bernal stacked and twisted bilayer graphene grown on Cu by chemical vapor deposition, PHYSICAL REVIEW B, , 85, 201408-201413 (2012)
  • Coulomb drag and magnetotransport in graphene double layers, Solid State Communications, , 152, 1283-1288 (2012)
  • Scaling of Al2O3 dielectric for graphene field-effect transistors, Applied Physics Letters, , 100, 93112- (2012)
  • Direct Measurement of the Fermi Energy in Graphene Using a Double-Layer Heterostructure, PHYSICAL REVIEW LETTERS, , 108, 116404-116409 (2012)
  • Magnetotransport Properties of Quasi-Free-Standing Epitaxial Graphene Bilayer on SiC: Evidence for Bernal Stacking, Nano Letters, , 11, 3624-3628 (2011)
  • Spin to Valley Polarized Transition in Graphene Bilayers at ν = 0 in High Magnetic Fields, Physical Review Letters, , 107, 16803- (2011)
  • Coulomb drag of massless fermions in graphene, Physical Review B - Condensed Matter and Materials Physics, , 83, 161401- (2011)
  • Low-Frequency Acoustic Phonon Temperature Distribution in Electrically Biased Graphene, Nano Letters, , 11, 85-90 (2010)
  • Graphene for CMOS and Beyond CMOS Applications, Proceedings of the IEEE, , 98, 2032-2046 (2010)
  • Large-Area Synthesis of High-Quality and Uniform Graphene Films on Copper Foils, Science, , 324, 1312-1314 (2009)
  • Realization of a high mobility dual-gated graphene field-effect transistor with Al2O3 dielectric, Applied Physics Letters, , 94, - (2009)
  • Dielectric thickness dependence of carrier mobility in graphene with HfO2 top dielectric, Applied Physics Letters, , , - (0020)

국내전문학술지

일반학술지

학술회의논문

  • Metal-oxide based, CMOS-compatible ECRAM for Deep Learning Accelerator, IEEE International Electron Devices Meeting (IEDM) 2019, 0, 0, 35.7.1-35.7.4 (2019)
  • Reliability Challenges with Materials for Analog Computing, 2019 IEEE International Reliability Physics Symposium (IRPS), 0, 0, - (2019)
  • ECRAM as Scalable Synaptic Cell for High-Speed, Low-Power Neuromorphic Computing, IEEE International Electron Devices Meeting (IEDM) 2018, 0, 0, 13.1.1-13.1.4 (2018)
  • Capacitor-based Cross-point Array for Analog Neural Network with Record Symmetry and Linearity, 2018 IEEE Symposium on VLSI Technology, 0, 0, - (2018)
  • Analog CMOS-based Resistive Processing Unit for Deep Neural Network Training, 2017 IEEE 60th International Midwest Symposium on Circuits and Systems, 0, 0, - (2017)
  • CMOS compatible MIM decoupling capacitor with reliable sub-nm EOT high-k stacks for the 7 nm node and beyond, 2016 IEEE International Electron Devices Meeting, 0, 0, - (2016)
  • Temperature-dependent studies of the electrical properties and the conduction mechanism of HfOx-based RRAM, Proceedings of Technical Program - 2014 International Symposium on VLSI Technology, Systems and Application (VLSI-TSA), 0, 0, - (2014)
  • Thickness dependence of carrier mobility in mono- and bi-layer graphene with HfO2 gate dielectric, 68th Device Research Conference, 0, 0, - (2010)

학회발표

  • Time-resolved Conductance in Electrochemical Systems for Neuromorphic Computing, 2018 International Conference on Solid State Devices and Materials, 0, 0, - (2018)

단행본

연구실적

  • 김세영_신규부임교수 연구지원(1차_대학), 포항공과대학교 (2020-2021)
  • 김세영_신규부임교수 연구비지원(1차_학과), 포항공과대학교 (2020-2021)
  • 변형된 BACK-PROPAGATION 알고리즘 기반의 아날로그 딥 러닝 가속기 구현을 위한 금속 산화물 기반의 시냅스 소자에 관한 연구, 삼성전자(주) (2020-2022)
  • 고성능 학습용 CMOS 공정호환 음이온 제어형 3단자 뉴로모픽 시냅스 소자 개발 및 어레이 시연, 재단법인한국연구재단 (2020-2020)

IP

  • 황현상,최우석,김세영, 저항 변화 메모리 어레이 기반의 가중 시냅스를 이용한 뉴럴 네트워크, 한국, 10-2020-0074862 (2020)