Your browser doesn't support javascript.
loading
CMOS-Compatible Protonic Programmable Resistor Based on Phosphosilicate Glass Electrolyte for Analog Deep Learning.
Onen, Murat; Emond, Nicolas; Li, Ju; Yildiz, Bilge; Del Alamo, Jesús A.
Afiliação
  • Onen M; Microsystems Technology Laboratories, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, Massachusetts 02139, United States.
  • Emond N; MIT-IBM Watson AI Lab, 75 Binney Street, Cambridge, Massachusetts 02142, United States.
  • Li J; MIT-IBM Watson AI Lab, 75 Binney Street, Cambridge, Massachusetts 02142, United States.
  • Yildiz B; Department of Materials Science and Engineering, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, Massachusetts 02139, United States.
  • Del Alamo JA; MIT-IBM Watson AI Lab, 75 Binney Street, Cambridge, Massachusetts 02142, United States.
Nano Lett ; 21(14): 6111-6116, 2021 07 28.
Article em En | MEDLINE | ID: mdl-34231360
ABSTRACT
Ion intercalation based programmable resistors have emerged as a potential next-generation technology for analog deep-learning applications. Proton, being the smallest ion, is a very promising candidate to enable devices with high modulation speed, low energy consumption, and enhanced endurance. In this work, we report on the first back-end CMOS-compatible nonvolatile protonic programmable resistor enabled by the integration of phosphosilicate glass (PSG) as the proton solid electrolyte layer. PSG is an outstanding solid electrolyte material that displays both excellent protonic conduction and electronic insulation characteristics. Moreover, it is a well-known material within conventional Si fabrication, which enables precise deposition control and scalability. Our scaled all-solid-state three-terminal devices show desirable modulation characteristics in terms of symmetry, retention, endurance, and energy efficiency. Protonic programmable resistors based on phosphosilicate glass, therefore, represent promising candidates to realize nanoscale analog crossbar processors for monolithic CMOS integration.
Assuntos
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Prótons / Aprendizado Profundo Idioma: En Revista: Nano Lett Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Prótons / Aprendizado Profundo Idioma: En Revista: Nano Lett Ano de publicação: 2021 Tipo de documento: Article