Results 51 to 60 of about 2,110 (179)

Neuromorphic Devices and Computing for Sensing, Memory, and Control

Advanced Science, EarlyView.
This review introduces neuromorphic devices made from diverse materials. These devices mimic neuronal functions and architectures and, when integrated with artificial or biological computing, can form closed loops with neurons for pressure, optical, acoustic, and biochemical sensing and modulation.
Zhengguang Zhu, Nicholas Schaffer, Xiao Yang   +2 more
wiley   +1 more source

MetaboSense: An Integrated Quantum Dot‐Mediated Aptamer Assay and Modular Microfluidic Platform for Continuous In‐Line Monitoring of Lung Metabolism During Ex Vivo Perfusion

Advanced Science, EarlyView.
MetaboSense is a first‐of‐its‐kind microfluidic platform enabling continuous, in‐line monitoring of glucose and lactate during ex vivo lung perfusion. Combining a quantum dot–mediated aptamer assay with mixing, depletion, and optofluidic detection modules, it achieves 60–s temporal resolution and shows strong agreement with standard blood gas analyzers,
Sanjana Srikant, Pouyan Keshavarz Motamed, Thomas Borrillo, Lielle Ronen, Gabriel Siebiger, Guillermo Garza, Hesam Abouali, Md Fahim Al Fattah, Ines Jaber, Dayan Ban, Marcelo Cypel, Mingyao Liu, Shaf Keshavjee, Andrew T. Sage, Mahla Poudineh   +14 more
wiley   +1 more source

Electrode‐Engineered Dual‐Mode Multifunctional Lead‐Free Perovskite Optoelectronic Memristors for Neuromorphic Computing

Advanced Electronic Materials, EarlyView.
A lead‐free perovskite memristive solar cell structure that call emulate both synaptic and neuronal functions controlled by light and electric fields depending on top electrode type. ABSTRACT Memristive devices based on halide perovskites hold strong promise to provide energy‐efficient systems for the Internet of Things (IoT); however, lead (Pb ...
Michalis Loizos, Konstantinos Rogdakis, Konstantinos Chatzimanolis, Katerina Anagnostou, Emmanuel Kymakis   +4 more
wiley   +1 more source

ZnO Nanowires for Ultraviolet Detection: Recent Developments, Challenges, and Future Outlook

Advanced Electronic Materials, EarlyView.
This work provides a comprehensive review of Zinc Oxide (ZnO) nanowires for high‐performance ultraviolet (UV) photodetection. By analyzing unique device physics and various detector architectures, it unveils strategies to overcome current performance limitations regarding speed and sensitivity.
Ala K. Jehad, Salih Alper Akalin, Mustafa Erol, Yavuz Ozturk, Metin Yurddaskal   +4 more
wiley   +1 more source

High‐Detectivity InGaAs/GaAsP Superlattice PIN Photodetector with a Thin Absorber on GaAs substrate for 1100 nm Applications

Advanced Electronic Materials, EarlyView.
A high‐performance strain‐compensated InGaAs/GaAsP superlattice SWIR photodetector was successfully grown by MOCVD on a scalable 100 mm GaAs platform. Combining excellent structural quality with strong optoelectronic performance, the device delivers a low dark current density of 2.3 × 10−7 A/cm2 and a detectivity of 1.9 × 1011 Jones at 1100 nm ...
Rémy Tribout, Alexis Palais, Driss Mouloua, Mickael Martin, Frédérique Ducroquet, Sébastien Cavalaglio, Badreddine Smiri, Jeremy Da Fonseca, Jeremy Moeyaert, Clara Cornille, Franck Bassani, Charles Leroux, Veronika Letka, Vita Mergner, David Cooper, Evan Oudot, Christophe Duluard, Sophie Barbet, Christophe Jany, Thierry Baron   +19 more
wiley   +1 more source

Neuromorphic Deep‐Ultraviolet Signal Processing Using a‐Ga2O3

Advanced Electronic Materials, EarlyView.
Amorphous gallium oxide (a‐Ga2O3) metal‐semiconductor‐metal photodetectors exhibit paired‐pulse facilitation arising from charge trapping. Four‐bit UVC binary sequences are encoded into separable conductance states. An RC equivalent circuit model of the device is deployed in single‐ and composite multi‐node reservoir computers, achieving ∼95% accuracy ...
Sidhant Sharma, Arthur Robert, Florian Wilke, Martin W. Allen, Valentina Baccetti, Jim G. Partridge, Hiep N. Tran   +6 more
wiley   +1 more source

Deep Learning–Based Extraction of Promising Material Groups and Common Features from High‐Dimensional Data: A Case of Optical Spectra of Inorganic Crystals

Advanced Intelligent Discovery, EarlyView.
We report a novel interpretation method for deep learning models based on feature extraction and clustering. Applying this method to an atomistic line graph neural network (ALIGNN) model trained on optical absorption spectra of 2,681 inorganic compounds obtained from first‐principles calculations, we successfully identify key factors underlying ...
Akira Takahashi, Yu Kumagai, Arata Takamatsu, Fumiyasu Oba   +3 more
wiley   +1 more source

Materials Representation Learning Based on a Material–Motif Network and Heterogeneous Graphs

Advanced Intelligent Discovery, EarlyView.
Structure motifs in materials are used to construct a bipartite material–motif network that links each material to its constituent motifs and establishes connectivity among materials sharing common motifs. Network analysis reveals material clusters associated with different functional applications and supports motif‐guided screening of materials.
Anoj Aryal, Weiyi Gong, Huta Banjade, Qimin Yan   +3 more
wiley   +1 more source

The ORCA‐TWIN qCMOS Experiment I. Science Case and Commissioning at Calar Alto Observatory

Astronomische Nachrichten, EarlyView.
ABSTRACT We describe a pilot study to explore a new generation of fast and low noise CMOS image sensors for time domain astronomy, using two remote telescopes with a baseline of 1635 km. The experiment involves direct imaging with novel qCMOS image sensor technology that combines fast readout with sub‐electron readout noise.
Martin M. Roth, Paško Roje, Stella Vješnica, Stefan Cikota, Alex J. Brown, Mike Kretlow, Marco Azzaro, Santiago Reinhart, Jesús Aceituno, Harry Dawson, Carsten Denker, Torsten Enßlin, Stephan Geier, Thomas Granzer, Thomas Kupfer, Gianluca Li Causi, Samaya Nissanke, José Luis Ortiz, Fernando Pedichini, Katja Poppenhäger, Axel Schwope   +20 more
wiley   +1 more source

Graphene Materials for Sustainable Energy Applications: A Contemporary Perspective

Carbon Energy, EarlyView.
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, Seul‐Yi Lee, Roop L. Mahajan, Soo‐Jin Park   +3 more
wiley   +1 more source