Results 191 to 200 of about 77,037 (294)

High-performance one-dimensional thermoelectric materials: polyyne chains and their derivatives. [PDF]

Nanoscale Adv
H J K, Bhattacharyya S.
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

Thermoelectric Energy Equations Considering Convective Heat Transfer Between Thermoelectric Materials and the Environment. [PDF]

Materials (Basel)
Xiao H.
europepmc   +1 more source

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

Fabrication and characterization of hybrid thermoelectric materials based on aligned nanowires. [PDF]

Front Chem
Lee MJ, Kim CY, Lim JH.
europepmc   +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

Unlocking new possibilities in ionic thermoelectric materials: a machine learning perspective. [PDF]

Natl Sci Rev
Wu Y, Song D, An M, Chi C, Zhao C, Yao B, Ma W, Zhang X.   +7 more
europepmc   +1 more source

Recent trends and future perspectives of thermoelectric materials and their applications. [PDF]

RSC Adv
Baskaran P, Rajasekar M.
europepmc   +1 more source

Facile development of carbon nanotube (CNT)-based flexible thermoelectric materials for energy-harvesting applications. [PDF]

RSC Adv
Naeem N, Butt S, Sumayya, Afzal Z, Waseem Akram M, Irfan M, Atiq Ur Rehman M, Baluch AH, Rehman GU, Farooq MU.   +9 more
europepmc   +1 more source