Results 91 to 100 of about 169 (164)

Ultralow‐Power Real‐Time On‐Chip Thermal Prediction via Finite Element Method–Machine Learning Codesign and Field‐Programmable Gate Array Deployment

Advanced Intelligent Systems, EarlyView.
A lightweight machine learning (ML)‐based thermal prediction framework is demonstrated and implemented on a field‐programmable gate array (FPGA). Using measured temperature data from a real chiplet, the approach enables real‐time, die‐level heat‐map inference with low power consumption, validating practical on‐chip thermal monitoring for advanced ...
Jun Ho Lee, Jae Gyu Kim, Sung Jin Kim, Jae Yong Song, Byoung Don Kong   +4 more
wiley   +1 more source

Terrestrial Cyborg Insects for Real‐Life Applications

Advanced Intelligent Systems, EarlyView.
This article reviews the development of terrestrial cyborg insects from their emergence in 1997 to mid‐2025, examining three key aspects: locomotion control methods, associated challenges with proposed solutions, and practical applications. Framing these biohybrid systems as insect‐scale mobile robots, the review provides foundational insights for new ...
Hai Nhan Le, Lachlan Fitzgerald, Phuoc Thien Phan, Robbie Wilson, Christofer Clemente, Huu Duoc Nguyen, Hirotaka Sato, Hoang‐Phuong Phan, Peter Ross McAree, Thanh Nho Do, Tat Thang Vo‐Doan   +10 more
wiley   +1 more source

Ionic Coordination and Hierarchical Architecture Enable Record n‐Type Thermoelectric Efficiency in Soft Hydrogels

Angewandte Chemie, EarlyView.
A Zn2+‐coordinated BMIM–ZnBr ionogel forms a rigid cationic scaffold and a directed anion‐migration channel, enabling pronounced thermodiffusion and an exceptional ionic Seebeck coefficient of −128 mV K−1, a high power factor of 16.7 µW cm−1 K−2, and a promising ZT of 1.1 at room temperature for harvesting low‐grade heat.
Chenyang Zhang, Xiao‐Lei Shi, Xujiang Chao, Mingxu Wang, Wenyi Chen, Qian Liu, Tianyi Cao, Boxuan Hu, Shuai Sun, Zhi‐Gang Chen   +9 more
wiley   +2 more sources

Artificial Intelligence for Multiscale Modeling in Solid‐State Physics and Chemistry: A Comprehensive Review

Advanced Intelligent Systems, EarlyView.
This review explores the transformative impact of artificial intelligence on multiscale modeling in materials research. It highlights advancements such as machine learning force fields and graph neural networks, which enhance predictive capabilities while reducing computational costs in various applications.
Artem Maevskiy, Vitalii Kapitan, Andrey Ustyuzhanin   +2 more
wiley   +1 more source

AI‐Assisted IoT‐Enabled ECG Monitoring: Integrating Foundational and Generative AI Tools for Sustainable Smart Healthcare—Recent Trends

AI &Innovation, EarlyView.
ABSTRACT The rapid evolution of the Internet of Things (IoT) has significantly advanced the field of electrocardiogram (ECG) monitoring, enabling real‐time, remote, and patient‐centric cardiac care. This paper presents a comprehensive survey of AI assisted IoT‐based ECG monitoring systems, focusing on the integration of emerging technologies such as ...
Amrita Choudhury, Kandarpa Kumar Sarma, Lachit Dutta   +2 more
wiley   +1 more source

First‐Principles Investigation of the Electronic, Phonon, Optical, and Elastic Properties of AgBiTeSe

Advanced Physics Research, EarlyView.
This study presents a first‐principles investigation of the electronic, vibrational, optical, and elastic properties of AgBiTeSe. The results highlight its metallic behavior, dynamic stability, strong optical absorption, and promising thermoelectric potential.
Nilufer Yesmin Tanisa, Munshi H. M. Rahat, Sayed Bony Amin, Md. Karimul Islam   +3 more
wiley   +1 more source

Bridging the Gap: Integrating Energy Management with Moisture‐Electric Energy Harvesting

Advanced Physics Research, EarlyView.
This review explores energy management strategies that have been successfully applied in other energy harvesting systems, with the aim of adapting such strategies for MEG applications. Through analysis, learning, and adaptation of these existing systems, it is possible to help MEGs achieve more stable electrical output and accelerate their real‐world ...
Zhongliang Zhang, Renbo Zhu, Xiaoming Tao   +2 more
wiley   +1 more source

Metasurfaces and Metadevices for Topological Electromagnetic Waves

Advanced Physics Research, EarlyView.
Optical topologies refer to diverse topological localized structures made by diverse parameters of light fields, such as vortices, skyrmions, and hopfions. This article navigates a direction of metasurface‐based integrated devices for generation, manipulation and detection of novel topologies of light, which would be a rapidly growing interdisciplinary
Rensheng Xie, Nilo Mata‐Cervera, Xi Xie, Yijie Shen   +3 more
wiley   +1 more source

Sustainable Cellulose Ionogels With Promising Physical Structure, Properties, and Applications

Advanced Physics Research, EarlyView.
This study presents a comprehensive overview of cellulose functional gels, focusing on their molecular network design and physical properties. The extensive potential applications of cellulose gels in flexible electronics, biomedicine, and smart engineering are explored in depth. This work provides valuable insights and guidance for future research and
Wenjuan Wang, Haibo Jiang, Geyuan Jiang, Minxin Wang, Jun Guan, Jianhong Zhou, Dawei Zhao   +6 more
wiley   +1 more source

Fiber‐type soft bioelectronics for wearable and implantable sensing and therapy

BMEMat, EarlyView.
Fiber‐type soft bioelectronics are emerging as versatile platforms for wearable and implantable health monitoring and therapeutic applications. These bioelectronics use organic and inorganic matrices combined with advanced fillers, which feature high conductivity, electrochemical sensitivity, softness, and biocompatibility.
Haneul Kim, Hak Yong Kim, Ja Hoon Koo, Gi Doo Cha, Dae‐Hyeong Kim, Hye Jin Kim   +5 more
wiley   +1 more source