Results 171 to 180 of about 8,150,029 (257)

Atomically Precise Ag11 and Ag12 Nanocluster‐Assembled 2D Materials for Memristive and Neuromorphic Functionality

Advanced Materials, EarlyView.
Two‐dimensional Ag11 and Ag12 cluster‐assembled materials (CAMs) are synthesized, offering atomically precise platforms with tunable electronic properties. The resulting materials exhibit robust memristive switching and neuromorphic response, demonstrating their promise for advanced nanoelectronic and memory applications.
Noohul Alam, Towhidur Rahaman, Céline Besnard, Arnulf Rosspeintner, Latevi Max Lawson Daku, Saood Khan, Soumya Jyoti Ray, Thomas Bürgi   +7 more
wiley   +1 more source

Weather Conditions and the Risk of Tomato Spotted Wilt Virus (TSWV) in Tomato Producing Areas in Southern Ghana. [PDF]

Plant Environ Interact
Sarku R, Adjaottor MA, Lossou E.
europepmc   +1 more source

Memristive Motion‐Streak Neuron for Spatiotemporal Multiple Object Detection

Advanced Materials, EarlyView.
This work proposes motion‐streak neuron hardware using amorphous In–Ga–Zn–O optoelectronic memristors and dynamic memristors for spatiotemporal multiple‐object detection. The motion streak neuron array processes optical and electrical stimuli, allowing speed‐dependent filament relaxation to encode motion trajectories.
Hyungjun Park, Jin Hong Kim, Hyun Wook Kim, Néstor Ghenzi, Sung Keun Shim, Joon‐Kyu Han, Min Jung Chung, Dong Hoon Shin, Kyung Seok Woo, Cheol Seong Hwang   +9 more
wiley   +1 more source

Characteristics of Disease Relapses and Their Relationships with Weather Conditions in Patients with Multiple Sclerosis. [PDF]

J Clin Med
Sempik I, Pokryszko-Dragan A, Wieczorek M, Błaś M, Dziadkowiak E.   +4 more
europepmc   +1 more source

Volatile Memristive Devices With Tunable Temporal Dynamics For Event‐Based Sensing

Advanced Materials, EarlyView.
Tunable volatile memristive devices can serve various neural‐inspired tasks that require different time windows of information retention. The ionic‐based volatility of the presented Pt/a‐STO/TaOx/Ta device stack can be reproducibly and controllably tuned in multiple ways.
Dimitrios Spithouris, Johannes Hellwig, Hugh Greatorex, Clemens Wittberg, Panagiotis Koutsogiannis, César Magén, Elisabetta Chicca, Regina Dittmann   +7 more
wiley   +1 more source

Flavonoids and fagopyrins in buckwheat leaves and flowers during the growing season and their relationship with weather conditions. [PDF]

Open Life Sci
Tavčar E, Kočevar Glavač N, Vidak M.
europepmc   +1 more source

Self‐Assembling Copolymers Encapsulating Single Endothelial Cells Induce Endogenous ECM Deposition and Vascular Regeneration

Advanced Materials, EarlyView.
This study presents the first demonstration of stable sub‐50‐micron single‐cell GPM vesicles fabricated through the intrinsic self‐assembly of an amphiphilic copolymer. Hierarchical assembly of cell containing GPM vesicles into microspheres enable tunable, sustained cell delivery with immune protection.
Viola B. Morris, Sangho Lee, Kalp Soni, Simon He, Matthew Huang, Dandan Chen, Dae Hoon Lee, Kyung Hee Kim, Seonggeon Cho, Laura Pencea, Divit Jain, Young‐Sup Yoon   +11 more
wiley   +1 more source

Real-time implementation of a new MPPT technique based on Shifted Hyperbolic Tangent Function under various weather conditions. [PDF]

Sci Rep
Mahho M, Yılmaz M, Çorapsız MF.
europepmc   +1 more source

Descriptors to Dynamics: A Materials and Device Perspective on in‐Materio Physical Reservoir Computing for Neuromorphic Edge Intelligence

Advanced Materials, EarlyView.
Intrinsic material dynamics are harnessed as computational resources for neuromorphic in‐materio physical reservoir computing. Defects, ionic motion, interfaces, percolation, geometry, and biasing shape transient states that provide fading memory, nonlinearity, and high‐dimensional projection for simple readout. A descriptor‐to‐dynamics framework links
Kshitij RB Singh, Alif Syafiq Kamarol Zaman, Muzhen Xu, Yuki Usami, Saptarshi Das, Hirofumi Tanaka   +5 more
wiley   +1 more source

Parameter calibration method for car-following models under snowy weather conditions: Integrating an informer time series encoder and physics-informed neural networks. [PDF]

PLoS One
Sun Y, Li W, Yang M, Zhang X.
europepmc   +1 more source