Advanced search

Filter By:

Journal Check one or more journals to show results from those journals only.

Choose more journals

Article type Check one or more article types to show results from those article types only.
Subject Check one or more subjects to show results from those subjects only.
Date Choose a date option to show results from those dates only.

Custom date range

Clear all filters
Sort by:
Showing 1–5 of 5 results
Advanced filters: Author: Abhijith Surendran Clear advanced filters

  • Oxygen is the most limiting factor in cell transplantation. Here, the authors present an on-site oxygen production platform for implantable cell therapeutics via electrocatalytic water electrolysis, demonstrating the maintenance of high cell loading in hypoxic incubation and a rat model.

    • Inkyu Lee
    • Abhijith Surendran
    • Tzahi Cohen-Karni
    ResearchOpen Access
    Nature Communications
    Volume: 14, P: 1-11

  • Stable anti-ambipolar organic materials are limited, thus preventing the design of integrated, tunable, and multifunctional neuromorphic systems. Here, the authors report a small form factor neuromorphic circuit based on organic anti-ambipolar materials, mimicking the pre-processing functions of the retina.

    • Zachary Laswick
    • Xihu Wu
    • Jonathan Rivnay
    ResearchOpen Access
    Nature Communications
    Volume: 15, P: 1-9

  • The distinctive interdependence in mixed ionic-electronic conductors emulates retinal pathway. Here, the authors develop a modular organic neuromorphic spiking circuit to replicate the interdependent functions of receptors, neurons and synapses that are chemically modulated by neurotransmitters.

    • Giovanni Maria Matrone
    • Eveline R. W. van Doremaele
    • Yoeri van de Burgt
    ResearchOpen Access
    Nature Communications
    Volume: 15, P: 1-9

  • Vertical organic electrochemical transistors demonstrating unprecedented performances in both p- and n-type operation modes have been synthesized from new electro-active and ion-permeable semiconducting polymers by the interface engineering of electro-active blend layers.

    • Wei Huang
    • Jianhua Chen
    • Antonio Facchetti
    ResearchOpen Access
    Nature
    Volume: 613, P: 496-502

  • Accomplishing complex cognitive tasks such as speech recognition calls for artificial intelligence hardware with high computing precision. John et al. propose deep recurrent neural networks based on optoelectronic transition metal dichalcogenide memristors with high weight precision for in-memory computing.

    • Rohit Abraham John
    • Jyotibdha Acharya
    • Nripan Mathews
    ResearchOpen Access
    Nature Communications
    Volume: 11, P: 1-9