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Decision trees within a molecular memristor.
Goswami, Sreetosh; Pramanick, Rajib; Patra, Abhijeet; Rath, Santi Prasad; Foltin, Martin; Ariando, A; Thompson, Damien; Venkatesan, T; Goswami, Sreebrata; Williams, R Stanley.
Afiliação
  • Goswami S; Department of Physics, National University of Singapore, Singapore, Singapore. sreetosh@u.nus.edu.
  • Pramanick R; NUSNNI-NanoCore, National University of Singapore, Singapore, Singapore. sreetosh@u.nus.edu.
  • Patra A; NUS Graduate School for Integrative Science and Engineering, National University of Singapore, Singapore, Singapore. sreetosh@u.nus.edu.
  • Rath SP; School of Chemical Sciences, Indian Association for the Cultivation of Science (IACS), Kolkata, India.
  • Foltin M; Department of Physics, National University of Singapore, Singapore, Singapore.
  • Ariando A; On Deck, San Francisco, CA, USA.
  • Thompson D; School of Chemical Sciences, Indian Association for the Cultivation of Science (IACS), Kolkata, India.
  • Venkatesan T; AI Research Lab, Hewlett Packard Enterprise, Fort Collins, CO, USA.
  • Goswami S; Department of Physics, National University of Singapore, Singapore, Singapore.
  • Williams RS; NUSNNI-NanoCore, National University of Singapore, Singapore, Singapore.
Nature ; 597(7874): 51-56, 2021 09.
Article em En | MEDLINE | ID: mdl-34471273
Profuse dendritic-synaptic interconnections among neurons in the neocortex embed intricate logic structures enabling sophisticated decision-making that vastly outperforms any artificial electronic analogues1-3. The physical complexity is far beyond existing circuit fabrication technologies: moreover, the network in a brain is dynamically reconfigurable, which provides flexibility and adaptability to changing environments4-6. In contrast, state-of-the-art semiconductor logic circuits are based on threshold switches that are hard-wired to perform predefined logic functions. To advance the performance of logic circuits, we are re-imagining fundamental electronic circuit elements by expressing complex logic in nanometre-scale material properties. Here we use voltage-driven conditional logic interconnectivity among five distinct molecular redox states of a metal-organic complex to embed a 'thicket' of decision trees (composed of multiple if-then-else conditional statements) having 71 nodes within a single memristor. The resultant current-voltage characteristic of this molecular memristor (a 'memory resistor', a globally passive resistive-switch circuit element that axiomatically complements the set of capacitor, inductor and resistor) exhibits eight recurrent and history-dependent non-volatile switching transitions between two conductance levels in a single sweep cycle. The identity of each molecular redox state was determined with in situ Raman spectroscopy and confirmed by quantum chemical calculations, revealing the electron transport mechanism. Using simple circuits of only these elements, we experimentally demonstrate dynamically reconfigurable, commutative and non-commutative stateful logic in multivariable decision trees that execute in a single time step and can, for example, be applied as local intelligence in edge computing7-9.

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Health_economic_evaluation / Prognostic_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Health_economic_evaluation / Prognostic_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article