Results 101 to 110 of about 2,079,335 (239)
Artificial Intelligence for Advanced Functional Materials: Progress and Emerging Frontiers
Artificial intelligence is transforming the discovery of functional materials by linking synthesis, characterization, simulation, and design in unified workflows. Advances in machine learning, autonomous experimentation, and foundation models are accelerating innovation across energy, electronics, and biomedicine, while revealing new frontiers for ...
Cristiano Malica +38 more
wiley +1 more source
PAM-4 Transmission at 1550 nm Using Photonic Reservoir Computing Post-Processing
The efficacy of data decoding in contemporary ultrafast fiber transmission systems is greatly determined by the capabilities of the signal processing tools that are used. The received signal must not exceed a certain level of complexity, beyond which the
Apostolos Argyris +2 more
doaj +1 more source
LSPR biosensing enables rapid, sensitive, and low‐sample‐volume detection of biomarkers, with broad applications in diagnosing cancer, infectious, and chronic diseases. Advances in nanostructure design, micro/nanofabrication, and microfluidic integration have expanded the potential of LSPR sensors in biomedical diagnostics.
Zhaoxin Geng +4 more
wiley +1 more source
Photonic reservoir computing for nonlinear equalization of 64-QAM signals with a Kramers-Kronig receiver. [PDF]
Masaad S +4 more
europepmc +1 more source
Nonlinear photonics is a promising platform for neuromorphic hardware, offering high-speed processing, broad bandwidth, and scalable integration. Within this framework, Reservoir Computing (RC) and Extreme Learning Machines (ELM) are powerful approaches ...
Giulia Marcucci +2 more
doaj +1 more source
Graphene Materials for Sustainable Energy Applications: A Contemporary Perspective
ABSTRACT Graphene has garnered significant attention as a promising material with great potential for contributing to sustainable energy initiatives, such as RE100 (100% renewable energy initiative) and CF100 (100% carbon‐free initiative). This review aims to explore the potential of graphene for advancing renewable energy applications by highlighting
Niraj Kumar +3 more
wiley +1 more source
Application of finite element methods to photonic crystal modelling [PDF]
Photonic Crystals (PCs) are materials with a periodically modulated dielectric constant, through which certain frequencies of electromagnetic radiation cannot propagate.
Hiett, B.P. +7 more
core +1 more source
Metal Oxide Nano-Interface Boosting the Deep Ultraviolet Adjustable Noise-Filtering In-Sensor Computing. [PDF]
We show that sol‐gel‐fractured indium–magnesium oxide combines deep‐ultraviolet responsivity, high carrier mobility, and an excellent memory dynamic range. This unique materials platform enables deep‐ultraviolet long‐afterglow light‐emitting devices with multifunctional integration.
Ju Z +9 more
europepmc +2 more sources
Optical neuromorphic computing based on chaotic frequency combs in nonlinear microresonators
In this work, we present an unique implementation of delay line-free reservoir computing based on state-of-the-art photonic technologies, which exploits chaotic optical frequency comb formation in an optical microresonator as the nonlinear reservoir. Our
Negar Shaabani Shishavan +3 more
doaj +1 more source
This comprehensive review presents a progressive roadmap for perovskite vision detectors. Centered on perovskite‐based artificial perception, the graphic illustrates a systematic evolution: starting with fundamental material engineering and device architectures, advancing toward complex functional strategies such as flexible neuromorphic imaging ...
Chenglong Li +14 more
wiley +1 more source

