MDR
  • About
  • Help
  • Contact
  • 表示言語の変更
    日本語 English
  1. Home
  2. Article and Dataset

  • Research Highlights(1)
  • Article(1)
  • Magazine(1)
  • Nafion (2)
  • Artificial intelligence (1)
  • Ionic decision-maker (1)
  • Multiarmed bandit problem (1)
  • Nanoionic devices (1)
  • Reinforcement learning (1)
  • artificial neural network (1)
  • graphene oxide (1)
  • proton-gating (1)
  • synaptic transistor (1)
(more)
  • Creative Commons BY Attribution 4.0 International (1)
  • In Copyright (1)
  • application/pdf (2)
Keyword: Nafion
Reset all filters

2 records found.

2025_ACSAMI17_25674.pdf
Sub-Millisecond and Energy-Efficient Electrochemical Synaptic Transistors with a Partially Reduced Graphene Oxide Channel
Article
Creator
Samapika Mallik ORCID ; Kazuya Terabe SAMURAI ORCID ; Tohru Tsuruoka SAMURAI ORCID
Keyword
synaptic transistor, graphene oxide, Nafion, proton-gating, artificial neural network
Date published
2025-04-30
Updated at
2025-05-19 12:30:14 +0900

[Vol. 44]Ionic Devices Learn How to Make Decisions_WPI-MANA.pdf
[Research Highlights Vol.44] Ionic Devices Learn How to Make Decisions
Magazine
Collection
Research Highlights
Creator
International Center for Materials Nanoarchitectonics (WPI-MANA)
Keyword
Ionic decision-maker, Nanoionic devices, Artificial intelligence, Multiarmed bandit problem, Reinforcement learning, Nafion
Date published
2018-12-19
Updated at
2023-12-25 00:30:22 +0900

Keyword
  • Nafion (2)
  • Artificial intelligence (1)
  • Ionic decision-maker (1)
  • Multiarmed bandit problem (1)
  • Nanoionic devices (1)
  • Reinforcement learning (1)
  • artificial neural network (1)
  • graphene oxide (1)
  • proton-gating (1)
  • synaptic transistor (1)
RDE metadata def
RDE invoice schema
  • <
  • 1
  • >

National Institute for Materials Science

Research Network and Facility Services Division (RNFS)
Materials Data Platform

Contact

  • Terms of use
  • Privacy Policy
  • Researchers Directory SAMURAI
  • NIMS Digital Library
  • Data Platform DICE
© National Institute for Materials Science. Datasets are available under licenses specified on their pages.