Results 161 to 170 of about 7,211,078 (250)

Self‐Assembled Monolayers in p–i–n Perovskite Solar Cells: Molecular Design, Interfacial Engineering, and Machine Learning–Accelerated Material Discovery

Advanced Materials, EarlyView.
This review highlights the role of self‐assembled monolayers (SAMs) in perovskite solar cells, covering molecular engineering, multifunctional interface regulation, machine learning (ML) accelerated discovery, advanced device architectures, and pathways toward scalable fabrication and commercialization for high‐efficiency and stable single‐junction and
Asmat Ullah, Ying Luo, Stefaan De Wolf
wiley   +1 more source

Neural networks in measurement and control

, 1995
A brief overview of neural network is presented. Neural networks have certainly made an impact, and it is now at the stage of getting past the initial hype to see the sort of tasks that neural network are really suited to.
Armitage, Alistair
core   +1 more source

Bio-inspired backpropagation-free training for optical neural networks

Light: Science & Applications
Optical Neural Networks (ONNs) can perform matrix operations at the speed of light and are expected to bring revolutionary advances in energy-efficient computing.
Tingxuan Li, Yibo Dong, Kun Tu, Yuchao Zhang, Shu Li, Yuyang Duan, Peng Sun, Min Gu, Jing Wang   +8 more
doaj   +1 more source

Neuromorphic Electronics for Intelligence Everywhere: Emerging Devices, Flexible Platforms, and Scalable System Architectures

Advanced Materials, EarlyView.
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj, Roshni Satheesh Babu, Yuxin Xia, Eva Bestelink, Radu Sporea, Nikos Hastas, Ioannis Zeimpekis, Dimitra G. Georgiadou, Sayani Majumdar   +8 more
wiley   +1 more source

Neural Networks: Is it hermeneutic? [PDF]

This paper proposes a synoptic methodology to evaluate the determinants of audit fees by utilising Neural Networks. First, a brief discussion is presented to highlight the significant application of Neural Network in the areas of financial management ...
Rama Prasad Kanungo
core  

Photonic neural networks at the edge of spatiotemporal chaos in multimode fibers

Nanophotonics
Optical computing has gained significant attention as a potential solution to the growing computational demands of machine learning, particularly for tasks requiring large-scale data processing and high energy efficiency.
Kesgin Bahadır Utku, Teğin Uğur
doaj   +1 more source

Leaftronics: Bio‐Fractal Scaffolds From Leaf Venation for Low‐Waste Electronics

Advanced Materials, EarlyView.
“Leaftronics” transforms naturally evolved leaf venation into quasi‐fractal scaffolds for sustainable electronics. Polymer‐infiltrated leaf skeletons can be used to fabricate ultra‐smooth, reflow‐ and thin‐film‐compatible decomposable substrates, while making the same lignocellulose networks conducting results in flexible transparent electrodes.
Rakesh Rajendran Nair, Hrisheekesh Thachoth Chandran, Karl Leo, Hans Kleemann   +3 more
wiley   +1 more source

An optoacoustic field-programmable perceptron for recurrent neural networks

Nature Communications
Recurrent neural networks (RNNs) can process contextual information such as time series signals and language. But their tracking of internal states is a limiting factor, motivating research on analog implementations in photonics.
Steven Becker, Dirk Englund, Birgit Stiller   +2 more
doaj   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source

Optical Neuromorphic Technology Catalyzes the Next‐Generation Mobile Communication Technology

Advanced Intelligent Systems
Advancements in optical computing hold transformative potential for next‐generation wireless communication systems, particularly in enhancing intelligent radio access networks.
Xiaoxiong Song, Ziling Fu, Jiajia Wang, Dapeng Wang, Nan Li, Zhenping Hu, Xingyuan Xu   +6 more
doaj   +1 more source