Results 131 to 140 of about 4,995,169 (271)

Helicity‐Defined Analog Conductance States in Chiral Perovskite Synapses

Advanced Materials, EarlyView.
Chiral perovskite synapses convert the handedness of circularly polarized light into persistent analog memory during electrical programming. An optimized n = 3 structure combines strong helicity selectivity with low read noise, enabling 72 distinct conductance levels.
Min Jong Lee, Hyoungwook Cho, Sang Heon Lee, Ohhyun Kwon, Minil Kang, Dong Gyu Lee, Seongwon Lee, Tae Kyung Lee, Gyeong Min Lee, Minseong Um, Sung Su Yoon, Gayoung Ham, Hyojung Cha, Hyungju Ahn, SungWoo Nam, Hyung‐Min Lee, Jae Won Shim   +16 more
wiley   +1 more source

High‐Endurance STO:YSZ Optoelectronic Memristors with Vertically Aligned Nanocomposite Structure for Edge Detection

Advanced Science
Edge detection plays a critical role in cutting‐edge domains such as real‐time monitoring and automatic driving, with optoelectronic device‐based real‐time image processing garnering significant attention. However, the poor endurance and unstable optical
Jiacheng Wang, Jikang Xu, Xu Han, Weidong Sun, Fu Wang, Zhen Zhao, Kangbo Zhao, Yufei Shang, Biao Yang, Hong Wang, Haoning Liu, Xiaobing Yan   +11 more
doaj   +1 more source

Time Series Forecasting via Derivative Spike Encoding and Bespoke Loss Functions for Spiking Neural Networks

Computers
The potential of neuromorphic (NM) solutions often lies in their low-SWaP (Size, Weight, and Power) capabilities, which often drive their application to domains that could benefit from this.
Davide Liberato Manna, Alex Vicente-Sola, Paul Kirkland, Trevor Joseph Bihl, Gaetano Di Caterina   +4 more
doaj   +1 more source

Advances in Bio‐Integrated Edge Computing Systems for Smart and Connected Health

Advanced Materials, EarlyView.
This review explores advances in bio‐integrated edge computing for healthcare, focusing on co‐designing computing, sensing, and energy strategies to overcome integration and power challenges for optimized, decentralized operation. ABSTRACT Recent advances in bio‐integrated healthcare technologies have enabled continuous, high‐resolution monitoring and ...
Gyuwon Kim, Seungwon Yoo, Tae Woog Kang, Yunuo Huang, Woon‐Hong Yeo   +4 more
wiley   +1 more source

Epitaxial Silicon-Germanium synapses for neuromorphic arrays

, 2018
Thesis: S.M., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2018.Cataloged from PDF version of thesis.Includes bibliographical references (pages 59-68).Intelligent machines could help to facilitate language translation ...
Tan, Scott H. (Scott Howard)
core  

Towards neuromorphic compression based neural sensing for next-generation wireless implantable brain machine interface

This work introduces a neuromorphic compression based neural sensing architecture with address-event representation inspired readout protocol for massively parallel, next-gen wireless implantable brain machine interface (iBMI).
Vivek Mohan, Basu, Arindam, Tay, Wee Peng, Wee Peng Tay, Arindam Basu, Mohan, Vivek   +5 more
core   +1 more source

Biomass DNA: An Emerging Building Block for Advanced Materials

Advanced Materials, EarlyView.
Biomass DNA is rapidly emerging from its traditional role as a genetic blueprint to serve as a versatile abundant, highly programmable polymeric building block. This review highlights the transformation of macroscopic bulk biomass DNA into next generation of functional materials, spanning from dynamic hydrogels, sustainable bioplastics, and high ...
Yuwei Hu, Itamar Willner, Li Niu
wiley   +1 more source

Blending With Insulating Polymers Enables Stable Anti‐Ambipolar Characteristics in n‐Type Organic Mixed‐Conductors for Heterogeneous Spiking Neurons

Advanced Materials, EarlyView.
A polymer blend of n‐type OMIEC P(gNDI‐gT2) with insulating PMMA yields mechanically stabilized, anti‐ambipolar organic electrochemical transistors (OECTs) with tunable ionic‐electronic transport. This blending allows low‐power, fast‐spiking heterogeneous Hodgkin–Huxley neurons, enabling biomimetic frequency deconvolution and reservoir computing, which
Zachary Laswick, Ariel Lifer, Catherine Beaumont, Liad Hayoun, Priscila Cavassin, Zeinab Hamid, Dilara Meli, William Dupont, Lincoln J. Lauhon, Iain McCulloch, Gitti L. Frey, Giovanni Maria Matrone, Jonathan Rivnay   +12 more
wiley   +1 more source

Ferroionic‐Assisted, Charge‐Driven Polymorphic Phase Engineering for Multilevel Memristive Devices

Advanced Materials, EarlyView.
A CuInP2S6/Mo0.92W0.08Te2 heterostructure enables a gradual semiconductor‐to‐semimetal phase transition through Cu+ ion migration and charge accumulation. The spatially engineered 2H/1T′ mixed phases produce continuously tunable conductance states in a two‐terminal geometry, while suppressing depolarizing fields and stabilizing the metastable 1T′ phase.
Nayeon Kim, Chengqi Wei, Eunji Hwang, Woohyun Cho, Heemyoung Hong, Yongjoon Lee, Daeho Noh, Min Seok Jang, Zhongrui Wang, Heejun Yang   +9 more
wiley   +1 more source

An Introduction to Neuromorphic Engineering

Proceedings of MOL2NET'21, Conference on Molecular, Biomedical & Computational Sciences and Engineering, 7th ed., 2021
openaire   +2 more sources