Results 121 to 130 of about 1,360,608 (276)

Self‐Driving Laboratory Optimizes the Lower Critical Solution Temperature of Thermoresponsive Polymers

Advanced Intelligent Discovery, EarlyView.
A low‐cost, self‐driving laboratory is developed to democratize autonomous materials discovery. Using this "frugal twin" hardware architecture with Bayesian optimization, the platform rapidly converges to target lower critical solution temperature (LCST) values while self‐correcting from off‐target experiments, demonstrating an accessible route to data‐
Guoyue Xu, Renzheng Zhang, Tengfei Luo
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

Investigation of a novel heat extraction configuration for boosting photovoltaic panel efficiency

Case Studies in Thermal Engineering
This study investigates the impact of accumulated heat extraction on photovoltaic (PV) panels' performance and longevity using Computational Fluid Dynamics (CFD) simulations.
Muhammad Usman, Hafiz Waqar Ul Haq, Fahid Riaz, Muhammad Sher Ali, Muhammad Imran Masood, Yasser Fouad, Shahmeer Khalid Chatha, Muhammad Nasir Bashir   +7 more
doaj   +1 more source

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

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

Detection of Particulate Matter With Lock‐In Thermography

CleanMat, EarlyView.
Accurate quantification of black carbon is essential due to its significant impact on climate, air quality, and human health. Lock‐in thermography (LIT), as implemented by NanoLockin's instrument Calorsito, offers a sensitive, scalable, and reproducible approach for detecting black carbon on filter substrates.
Alina Oetsen, Christoph Geers, Andreas Traube, Gunter Festel, Daniel Fehr, Mathias Bonmarin   +5 more
wiley   +1 more source

Ultra‐High Strength and Environmentally Stable Fluorinated Solid‐State Ion‐Conductive Elastomers with Folding‐Paper‐Structured Triboelectric Nanogenerators for Wave Energy Harvesting

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
In this work, a polyurethane‐based fluorinated SICEs with excellent mechanical properties (7.35 MPa and 61.4 MJ m−3), conductivity (4.2 × 10−4 S cm−1), and harsh environmental resistance were prepared by a “three birds with one stone” strategy that combines multiple interactions with fluorine effects. The paper‐folding TENG is capable of harvesting not
Zequan Li, Fangyan Ou, Wei Tang, Fuqi Wang, Zhichao Zhang, Ting Xie, Chuang Ning, Wenyu Pan, Wei Gao, Shuangliang Zhao   +9 more
wiley   +1 more source

Synergistic Engineering of Oxygen Vacancies and Topological Surface States in Bi2Te3/TiO2‐X Heterostructures for Highly Efficient Photothermal‐Driven CO2 Photoreduction

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
Integrating the topological insulator Bi2Te3 with oxygen‐deficient TiO2‐X creates a synergistic platform for full‐spectrum CO2 reduction, achieving high‐selectivity C2+ production via enhanced photothermal catalysis and tailored charge dynamics.
Bingke Zhang, Chenchen Zhao, Jing Qiao, Changcun Li, Yang Wang, Xingshuo Liu, Dongbo Wang, Gang Liu, Zhao Qian, Rajeev Ahuja, Jinzhong Wang, Degang Zhao   +11 more
wiley   +1 more source

Strain and Band Modulation of WO3/SnSe Micro‐Nano Composites Achieving Superior Photocatalytic Performance

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
WO3/SnSe micro‐nano composites demonstrate exceptional photocatalytic performance through synergistic strain and band modulation. Lattice strain modulation enhances methyl orange adsorption and visible light absorption, while Z‐scheme band alignment promotes efficient charge separation. The 2.5% WO3/SnSe composite achieves 99.71% degradation efficiency,
Qinyuan Huang, Xiaoyan Ma, Xing Yang, Chongyu Wang, Quan Shan, Chunjian Wang, Fei Wang, Jing Feng, Zhenhua Ge, Lidong Zhao   +9 more
wiley   +1 more source