Results 161 to 170 of about 7,604,757 (293)

Path‐Decoupled Cation‐Eutaxy III–V van der Waals Memristive Semiconductors for Mitigating the Neuromorphic Accuracy‐Energy Trade‐off

Advanced Materials, EarlyView.
Path‐decoupled III–V van der Waals memtransistors spatially separate ionic and electronic transport to overcome the conventional trade‐off between accuracy and energy in neuromorphic hardware. Mobile K+ ions in the vdW gaps set a wide conductance window, Gmax/Gmin, while gate‐tunable hole conduction lowers programming energy, enabling reliable ...
Jihong Bae, Ji Hoon Han, Taeyoung Kim, Jongbum Won, Seokmin Park, Gyu Won Kim, Sungsoon Kim, Hong Choi, Taehoon Kim, Hong‐Sub Lee, Jae‐Hyun Lee, Young Jin Choi, Jinwoo Cheon, Wooyoung Shim   +13 more
wiley   +1 more source

Adaptive Multilayer Optical Neural Network Design [PDF]

An adaptive multilayer dual-wavelength optical neural network design with all-optical forward propagation, based on a large number of modifiable optical interconnections and a special weight discretization algorithm to compensate for em noise, is ...
Saxena, Indu, Fiesler, Emile
core   +1 more source

Multi-wavelength diffractive optical neural network integrated with 2D photonic crystals for joint optical classification. [PDF]

Nanophotonics
Zhang Y, Zhang K, Hu P, Li D, Feng S.
europepmc   +1 more source

Radiative Thermal Management for Extreme Environments: Mechanisms and Design Strategies

Advanced Materials, EarlyView.
In this review, we discuss the fundamental mechanisms of radiative cooling and solar heating, material and structural design strategies, hybrid approaches integrating additional heat transfer pathways, and durability‐oriented designs addressing environmental stresses.
Hyung Rae Kim, Haeseong Kim, Joo Hwan Ko, Gil Ju Lee, Dae‐Hyeong Kim, Young Min Song   +5 more
wiley   +1 more source

MediONN: an integrated photonic chip optical neural network for deep learning-based semantic segmentation in early detection of pancreatic cancer. [PDF]

Biomed Opt Express
Yang CJ, Zhu H, Ning S, Gu J, Feng C, Pan DZ, Chen RT.   +6 more
europepmc   +1 more source

Inverse Design of Nanoparticulate Materials

Advanced Materials, EarlyView.
Inverse design shifts nanomaterial development from empirical trial‐and‐error to predictive model‐driven strategies. It can rely on knowledge‐based, data‐based, or hybrid process and property functions. This perspective article provides a practical framework for applying inverse design based on instructive examples. It discusses which modeling approach
Nabi Etienne Traoré, Annika Mauch, Michelle Berthold, Lukas Pflug, Wolfgang Peukert, Nicolas Vogel   +5 more
wiley   +1 more source

Pre-sensor computing with compact multilayer optical neural network. [PDF]

Sci Adv
Huang Z, Shi W, Wu S, Wang Y, Yang S, Chen H.   +5 more
europepmc   +1 more source

Soft and Transient Bioelectronics Enabled by Polymer‐Free Ti3C2Tx MXene Hydrogels

Advanced Materials, EarlyView.
We present Ti3C2Tx MXene hydrogel (MXgel) bioelectronics, a soft, flexible, and fully transient platform for high‐fidelity neural recording and stimulation. MXgel bioelectronics exhibit exceptional electrical conductivities, low electrochemical impedances, and high charge injection capacities.
Raghav Garg, Franco A. Laimo, Stefano Ippolito, Prastuti Upadhyay, Spencer R. Averbeck, Dimitris Boufidis, Charles‐Antoine Assenmacher, Dayo O. Adewole, Sai Panigrahy, Bita Soltan Mohammadlou, Lucy Plant, Yuan Zhang, Andrew G. Richardson, Yury Gogotsi, D. Kacy Cullen, Flavia Vitale   +15 more
wiley   +1 more source

Percolation‐Driven β‐Relaxation Enables Resonant Acceleration of Crystallization in Amorphous Phase‐Change Materials

Advanced Materials, EarlyView.
Mobile‐atom percolation underlying β‐relaxations fundamentally dictates the crystallization pathways of phase‐change materials. High‐frequency ultrasonic excitation dynamically modulates this critical mobility percolation network, substantially accelerating the crystallization process.
Yu‐Yao Liu, Liang Gao, Jun‐Ying Jiang, Yiming Zhou, Jan Luebben, Di Zhao, Xiaoling Lu, Maximilian J. Müller, Ulrich Boettger, Jiang‐Jing Wang, Hai‐Bin Yu, Shuai Wei   +11 more
wiley   +1 more source

NEURAL-NETWORK TECHNIQUES FOR VISUAL MINING CLINICAL ELECTROENCEPHALOGRAMS

, 2007
In this chapter we describe new neural-network techniques developed for visual mining clinical electroencephalograms (EEGs), the weak electrical potentials invoked by brain activity.
Joachim Schult, Neural-Network Techniques For, Vitaly Schetinin, Anatoly Brazhnikov   +3 more
core