Results 51 to 60 of about 65,595 (217)

Artificial Intelligence‐Driven Development in Rechargeable Battery Materials: Progress, Challenges, and Future Perspectives

Advanced Functional Materials, EarlyView.
AI is transforming the research paradigm of battery materials and reshaping the entire landscape of battery technology. This comprehensive review summarizes the cutting‐edge applications of AI in the advancement of battery materials, underscores the critical challenges faced in harnessing the full potential of AI, and proposes strategic guidance for ...
Qingyun Hu, Junyuan Lu, Jian Hui, Ziyuan Rao, Yang Ren, Hong Wang   +5 more
wiley   +1 more source

Corrigendum

Advances in Mechanical Engineering, 2016
CORRIGENDUM A hybrid swarm intelligence of artificial immune system tuned with Taguchi–genetic algorithm and its field-programmable gate array realization to optimal inverse kinematics for an articulated industrial robotic manipulator Owing to errors ...
doaj   +1 more source

InSight: An FPGA-Based Neuromorphic Computing System for Deep Neural Networks

Journal of Low Power Electronics and Applications, 2020
Deep neural networks have demonstrated impressive results in various cognitive tasks such as object detection and image classification. This paper describes a neuromorphic computing system that is designed from the ground up for energy-efficient ...
Taeyang Hong, Yongshin Kang, Jaeyong Chung   +2 more
doaj   +1 more source

Recycling of Thermoplastics with Machine Learning: A Review

Advanced Functional Materials, EarlyView.
This review shows how machine learning is revolutionizing mechanical, chemical, and biological pathways, overcoming traditional challenges and optimizing sorting, efficiency, and quality. It provides a detailed analysis of effective feature engineering strategies and establishes a forward‐looking research agenda for a truly circular thermoplastic ...
Rodrigo Q. Albuquerque, Florian Stephan, Annalena Pongratz, Christian Brütting, Katharina Krause, Holger Ruckdäschel   +5 more
wiley   +1 more source

Molecularly Tailored Elastomeric Block‐Copolymers for Intrinsically Stretchable Organic Field‐Effect Transistors

Advanced Functional Materials, EarlyView.
Molecular‐level engineering of SEBS elastomers is introduced for skin‐inspired electronics. By systematically modulating the S/EB molar ratio in SEBS, precise control is achieved over nanoscale morphology, mechanical properties, metal‐elastomer adhesion, and dielectric performance.
Min Woo Jeong, Seon Hoo Park, Min Hyouk Kim, Jun Su Kim, Tae Uk Nam, Ngoc Thanh Phuong Vo, Kyu Ho Jung, Hye Rin Chang, Thuy An Nguyen, Jin Young Oh   +9 more
wiley   +1 more source

Ultrafast jet classification at the HL-LHC

Machine Learning: Science and Technology
Three machine learning models are used to perform jet origin classification. These models are optimized for deployment on a field-programmable gate array device.
Patrick Odagiu, Zhiqiang Que, Javier Duarte, Johannes Haller, Gregor Kasieczka, Artur Lobanov, Vladimir Loncar, Wayne Luk, Jennifer Ngadiuba, Maurizio Pierini, Philipp Rincke, Arpita Seksaria, Sioni Summers, Andre Sznajder, Alexander Tapper, Thea K Årrestad   +15 more
doaj   +1 more source

Photoswitching Conduction in Framework Materials

Advanced Functional Materials, EarlyView.
This mini‐review summarizes recent advances in state‐of‐the‐art proton and electron conduction in framework materials that can be remotely and reversibly switched on and off by light. It discusses the various photoswitching conduction mechanisms and the strategies employed to enhance photoswitched conductivity.
Helmy Pacheco Hernandez, Stefan Hecht, Wolfgang Wenzel, Lars Heinke, Mariana Kozlowska   +4 more
wiley   +1 more source

Implementation of Reed-Solomon Encoder/Decoder Using Field Programmable Gate Array

Journal of Engineering and Sustainable Development, 2006
In this paper, (15, 11) and (255, 239) Reed-Solomon codes have been designed and Implemented using ALTERA Field Programmable Gate Array (FPGA) device. The design is carried out by writing VHDL modules for different encoder and decoder components.
Hikmat N. Abdullah
doaj  

Experimental Quantification of Hardware Requirements for FPGA-Based Reconfigurable PMUs

IEEE Access, 2019
Phasor Measurement Units (PMUs) are becoming intrinsic components of modern power systems. The synchrophasor estimation algorithms in PMUs pose stringent computational demands, which makes the application of Field Programmable Gate Arrays (FPGA) highly ...
Prottay M. Adhikari, Hossein Hooshyar, Luigi Vanfretti   +2 more
doaj   +1 more source

Toward the 3rd Generation of Smart Farming: Materials, Devices, and Systems for E‐Plant Technologies

Advanced Functional Materials, EarlyView.
This review explores the latest developments in e‐plant technologies, which are revolutionizing smart farming by enabling real‐time monitoring of plant and environmental conditions. It covers the design, applications, and systems of e‐plant devices, detailing how they integrate data analytics to optimize agricultural practices, enhance crop yields, and
Daegun Kim, Jonghyun Won, Hyeongmin Park, Jun‐Gyu Choi, Sungjun Park, Giwon Lee   +5 more
wiley   +1 more source