Results 111 to 120 of about 18,707 (285)

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

Modernizing Outdoor Substation Design by the Novel Application of Probabilistic Design Principles

IEEE Access
This paper proposes a structured design methodology for Air Insulated Switchgear (AIS) substations with nominal voltages exceeding 45 kV, specifically for configurations employing stranded flexible conductors.
Abraham Johannes Smit Groenewald, Mohamed Fayaz Khan   +1 more
doaj   +1 more source

Level spaces for lattice-valued uniform convergence spaces

, 2008
We define level structures for lattice-valued uniform spaces and latticevalued uniform convergence spaces. We show that these structures characterize the spaces from which they are obtained and use them to show that the categories of probabilistic ...
Jager, Gunther
core  

Rethinking Charge Transport and Recombination in Donor‐Diluted Organic Solar Cells

Advanced Materials, EarlyView.
Organic solar cells with 1–45% PM6 content in Y12 were studied to link structure and charge dynamics to performance. The conductivity follows a 3D percolation model without a sharp threshold. Donor dilution preserves the photogeneration yield, but limits the fill factor due to transport resistance losses.
Chen Wang, Christopher Wöpke, Toni Seiler, Jared Faisst, Mathias List, Meike Kuhn, Bekcy Joseph, Alexander Ehm, Dietrich R. T. Zahn, Yana Vaynzof, Eva M. Herzig, Roderick C. I. Mackenzie, Uli Würfel, Maria Saladina, Carsten Deibel   +14 more
wiley   +1 more source

Advancing Lithium–Oxygen Batteries: Pioneering Cathode Catalyst Innovation and Artificial Intelligence‐Driven Design Paradigms

Advanced Materials, EarlyView.
This review summarizes the principles and challenges of nonaqueous lithium‐oxygen batteries and recent advances in cathode catalysts, including carbon‐based materials, metals, oxides, sulfides, nitrides, carbides, and redox mediators. It highlights emerging design strategies and artificial intelligence‐driven approaches, emphasizing data‐assisted ...
Yuqing Yao, Chongyang Hao, Karol Viviana Mejia‐Centeno, Malik Dilshad Khan, Shang Wang, Longqiu Li, Yanhong Tian, Andreu Cabot, Qing Sun   +8 more
wiley   +1 more source

Generative AI for drug discovery and protein design: the next frontier in AI-driven molecular science

Medicine in Drug Discovery
Generative artificial intelligence (AI) has emerged as a disruptive paradigm in molecular science, enabling algorithmic navigation and construction of chemical and proteomic spaces through data-driven modeling.
Uddalak Das
doaj   +1 more source

Orbital‐Hybridizable Nanoseed Interphase Enables One‐Minute Rechargeable, Energy‐Dense Anode‐Free Aqueous Zinc Batteries

Advanced Materials, EarlyView.
An orbital‐hybridizable nanoseed (OHNS) interphase induces strong orbital hybridization between Zn and carbon edges, accelerating Zn nucleation while suppressing 2D surface diffusion. This interfacial electronic regulation drives uniform, dense, and (002)‐oriented Zn growth, enabling stable and fast charging behavior in anode‐free aqueous Zn batteries.
Won‐Yeong Kim, Ahyeon Son, Ohchan Kwon, Suseong Hyun, Sung Jun Hong, Hong‐I Kim, Ju Yeon Kim, Hyunseo Kang, Seung‐Hyeok Kim, Xu Liu, Kyeong‐Seok Oh, Jee Ho Ha, Seok Ju Kang, Stefano Passerini, Byungchan Han, Dae Woo Kim, Sang‐Young Lee   +16 more
wiley   +1 more source

Weaving Intelligence: Thermally Drawn Multimaterial Fibers Toward AI‐Enabled Smart Textiles

Advanced Materials, EarlyView.
Thermally drawn multimaterial fibers are rapidly advancing as intelligent structural units for next‐generation smart textiles. Integrating multimaterial architectures with neuromorphic and spiking‐neural‐network principles enables fabrics that can sense, compute, and adapt autonomously.
Vuong Dinh Trung, Jiaxiang Yi, Hieu Nguyen‐Duc, Tien Nu Hoang Lo, Weili Zhao, Chaoqun Dong, Fabien Sorin, Baris Caglar, Lei Wei, Tung Nguyen‐Dang   +9 more
wiley   +1 more source

Deep Learning Inverse Design of Phase‐Change Reconfigurable Terahertz Metadevices for Multidimensional Secure Communication

Advanced Materials, EarlyView.
A deep learning inverse‐design framework is established to create versatile reconfigurable terahertz metadevices. By synergizing deep learning with phase‐change materials, this approach enables on‐demand customization of multidimensional electromagnetic responses.
Yisheng Dong, Xieyu Chen, Aarthy Nagarajan, Yi Yang, Zhihao Wang, Rui Yu, Chuang Zheng, Chunmei Ouyang, Xueqian Zhang, Tun Cao, Ranjan Singh, Zhen Tian   +11 more
wiley   +1 more source

Tone Mapping of HDR Images via Meta-Guided Bayesian Optimization and Virtual Diffraction Modeling

Sensors
This paper proposes a novel image tone-mapping framework that incorporates meta-learning, a psychophysical model, Bayesian optimization, and light-field virtual diffraction.
Deju Huang, Xifeng Zheng, Jingxu Li, Ran Zhan, Jiachang Dong, Yuanyi Wen, Xinyue Mao, Yufeng Chen, Yu Chen   +8 more
doaj   +1 more source