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Hybrid 2D-CMOS microchips for memristive applications.
Zhu, Kaichen; Pazos, Sebastian; Aguirre, Fernando; Shen, Yaqing; Yuan, Yue; Zheng, Wenwen; Alharbi, Osamah; Villena, Marco A; Fang, Bin; Li, Xinyi; Milozzi, Alessandro; Farronato, Matteo; Muñoz-Rojo, Miguel; Wang, Tao; Li, Ren; Fariborzi, Hossein; Roldan, Juan B; Benstetter, Guenther; Zhang, Xixiang; Alshareef, Husam N; Grasser, Tibor; Wu, Huaqiang; Ielmini, Daniele; Lanza, Mario.
Afiliação
  • Zhu K; Materials Science and Engineering Program, Physical Science and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia.
  • Pazos S; Materials Science and Engineering Program, Physical Science and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia.
  • Aguirre F; Materials Science and Engineering Program, Physical Science and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia.
  • Shen Y; Materials Science and Engineering Program, Physical Science and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia.
  • Yuan Y; Materials Science and Engineering Program, Physical Science and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia.
  • Zheng W; Materials Science and Engineering Program, Physical Science and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia.
  • Alharbi O; Materials Science and Engineering Program, Physical Science and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia.
  • Villena MA; Materials Science and Engineering Program, Physical Science and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia.
  • Fang B; Materials Science and Engineering Program, Physical Science and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia.
  • Li X; Institute of Microelectronics, Tsinghua University, Beijing, China.
  • Milozzi A; Department of Electronics, Information and Bioengineering, Politecnico of Milan, Milan, Italy.
  • Farronato M; Department of Electronics, Information and Bioengineering, Politecnico of Milan, Milan, Italy.
  • Muñoz-Rojo M; Department of Thermal and Fluid Engineering, Faculty of Engineering Technology, University of Twente, Enschede, the Netherlands.
  • Wang T; Institute of Micro and Nanotechnology, IMN-CNM, CSIC (CEI UAM+CSIC), Madrid, Spain.
  • Li R; Institute of Functional Nano and Soft Materials, Collaborative Innovation Center of Suzhou Nanoscience and Technology, Soochow University, Suzhou, China.
  • Fariborzi H; Computer, Electrical and Mathematical Sciences and Engineering Division, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia.
  • Roldan JB; Computer, Electrical and Mathematical Sciences and Engineering Division, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia.
  • Benstetter G; Department of Electronics and Computer Technology, Faculty of Sciences, University of Granada, Granada, Spain.
  • Zhang X; Department of Electrical Engineering and Media Technology, Deggendorf Institute of Technology, Deggendorf, Germany.
  • Alshareef HN; Materials Science and Engineering Program, Physical Science and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia.
  • Grasser T; Materials Science and Engineering Program, Physical Science and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia.
  • Wu H; Institute for Microelectronics, TU Wien, Vienna, Austria.
  • Ielmini D; Institute of Microelectronics, Tsinghua University, Beijing, China.
  • Lanza M; Department of Electronics, Information and Bioengineering, Politecnico of Milan, Milan, Italy.
Nature ; 618(7963): 57-62, 2023 Jun.
Article em En | MEDLINE | ID: mdl-36972685
ABSTRACT
Exploiting the excellent electronic properties of two-dimensional (2D) materials to fabricate advanced electronic circuits is a major goal for the semiconductor industry1,2. However, most studies in this field have been limited to the fabrication and characterization of isolated large (more than 1 µm2) devices on unfunctional SiO2-Si substrates. Some studies have integrated monolayer graphene on silicon microchips as a large-area (more than 500 µm2) interconnection3 and as a channel of large transistors (roughly 16.5 µm2) (refs. 4,5), but in all cases the integration density was low, no computation was demonstrated and manipulating monolayer 2D materials was challenging because native pinholes and cracks during transfer increase variability and reduce yield. Here, we present the fabrication of high-integration-density 2D-CMOS hybrid microchips for memristive applications-CMOS stands for complementary metal-oxide-semiconductor. We transfer a sheet of multilayer hexagonal boron nitride onto the back-end-of-line interconnections of silicon microchips containing CMOS transistors of the 180 nm node, and finalize the circuits by patterning the top electrodes and interconnections. The CMOS transistors provide outstanding control over the currents across the hexagonal boron nitride memristors, which allows us to achieve endurances of roughly 5 million cycles in memristors as small as 0.053 µm2. We demonstrate in-memory computation by constructing logic gates, and measure spike-timing dependent plasticity signals that are suitable for the implementation of spiking neural networks. The high performance and the relatively-high technology readiness level achieved represent a notable advance towards the integration of 2D materials in microelectronic products and memristive applications.

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article