Results 131 to 140 of about 806,396 (338)

Heterojunction‐Driven Stochasticity: Bi‐Heterojunction Noise‐Enhanced Negative Transconductance Transistor in Image Generation

open access: yesAdvanced Materials, EarlyView.
This work engineered a bi‐heterojunction noise‐enhanced negative transconductance (BHN‐NTC) transistor using a half‐PTCDI‐C13 layer, achieving expanded and tunable noise characteristics. This advancement enables efficient multi‐bit TRNGs for AI‐driven image generation and enhances logic circuit applications.
Youngmin Han   +6 more
wiley   +1 more source

AI‐Driven Defect Engineering for Advanced Thermoelectric Materials

open access: yesAdvanced Materials, EarlyView.
This review presents how AI accelerates the design of defect‐tuned thermoelectric materials. By integrating machine learning with high‐throughput data and physics‐informed representations, it enables efficient prediction of thermoelectric performance from complex defect landscapes.
Chu‐Liang Fu   +9 more
wiley   +1 more source

Skew Dyck paths with catastrophes [PDF]

open access: yesDiscrete Mathematics Letters, 2022
Helmut Prodinger
doaj   +1 more source

Hardware Implementation of On‐Chip Hebbian Learning Through Integrated Neuromorphic Architecture

open access: yesAdvanced Materials, EarlyView.
This work presents a neuromorphic hardware platform that integrates presynaptic transistors, threshold switching neurons, and adaptive feedback synapses. The architecture enables on‐chip Hebbian learning through correlation‐based weight updates without external training circuits.
Seonkwon Kim   +6 more
wiley   +1 more source

A point collocation method based on reproducing kernel approximations [PDF]

open access: bronze, 2000
N. R. Aluru
openalex   +1 more source

Functionalized Antifouling Polymer Brushes for Biospecific Surfaces

open access: yesAdvanced Materials Interfaces, EarlyView.
Modern biosensors offer high sensitivity but often struggle with long‐term stability and selectivity for specific targets. Antifouling polymer brushes help enhance both stability and selectivity. In this review, we compare recent antifouling coatings, their design parameters, and how they are integrated with biorecognition elements for improved ...
Erik J. Postma   +4 more
wiley   +1 more source

Photoactive Monolayer MoS2 for Spiking Neural Networks Enabled Machine Vision Applications

open access: yesAdvanced Materials Technologies, EarlyView.
Molybdenum disulfide (MoS2) optoelectronic devices are implemented as Leaky Integrate‐and‐Fire (LIF) neurons in spiking neural networks (SNNs), where light‐induced photocurrent dynamics represent potentiation (τd) and depression (τd), emulating neuronal membrane potential.
Thiha Aung   +5 more
wiley   +1 more source

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