Results 221 to 230 of about 26,769 (303)

Modeling the Effects of Module Size and Material Property on Thermoelectric Generator Power. [PDF]

ACS Omega, 2020
Wang L, Li K, Zhang S, Liu C, Zhang Z, Chen J, Gu M.   +6 more
europepmc   +1 more source

Modeling and Characterization of a Self‐Sensing Soft Hydraulic Muscle

Advanced Intelligent Systems, EarlyView.
This article presents the self‐sensing soft hydraulic muscle (SSHM), a novel soft actuator capable of simultaneously sensing force and length without external sensors. A comprehensive model accurately predicts SSHM behavior, validated experimentally with minimal errors. Using propylene glycol enhances durability and reduces hysteresis.
Nhu An Phan, Phuong Linh Dao, Duc Tu Vu, The Doan Le, Sy Trung Ngo, Minh Tri Phan, T. Thang Vo‐Doan, Ke Wu, Mai Thanh Thai   +8 more
wiley   +1 more source

Data on heat rejection alternatives for thermoelectric generator efficient power generation with convection shape pipe material designs. [PDF]

Data Brief
Bamroongkhan P, Nararom M.
europepmc   +1 more source

High Power Thermoelectric Generator Based on Vertical Silicon Nanowires. [PDF]

Nano Lett, 2020
Elyamny S, Dimaggio E, Magagna S, Narducci D, Pennelli G.   +4 more
europepmc   +1 more source

Organic Thermoelectrics and Thermoelectric Generators (TEGs)

, 2019
openaire   +3 more sources

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

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

Properties of PEDOT nanowire/Te nanowire nanocomposites and fabrication of a flexible thermoelectric generator. [PDF]

RSC Adv, 2020
Liu H, Liu P, Zhang M, Tian Z, Wang N, Liu Y, Zhang X.   +6 more
europepmc   +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