Results 181 to 190 of about 12,771 (303)

Organic thermoelectric device utilizing charge transfer interface as the charge generation by harvesting thermal energy. [PDF]

Nat Commun
Kondo S, Kameyama M, Imaoka K, Shimoi Y, Mathevet F, Fujihara T, Goto H, Nakanotani H, Yahiro M, Adachi C.   +9 more
europepmc   +1 more source

Thermoelectric Air/Soil Energy-Harvesting Device

, 2005
A proposed thermoelectric device would exploit natural temperature differences between air and soil to harvest small amounts of electric energy. Because the air/soil temperature difference fluctuates between nighttime and daytime, it is almost never zero,
Snyder, Jeffrey, Lawrence, Eric, Fleurial, Jean-Pierre   +2 more
core  

A Comprehensive Assessment and Benchmark Study of Large Atomistic Foundation Models for Phonons

Advanced Intelligent Discovery, EarlyView.
We benchmark six large atomistic foundation models on 2429 crystalline materials for phonon transport properties. The rapid development of universal machine learning potentials (uMLPs) has enabled efficient, accurate predictions of diverse material properties across broad chemical spaces.
Md Zaibul Anam, Ogheneyoma Aghoghovbia, Mohammed Al‐Fahdi, Lingyu Kong, Victor Fung, Ming Hu   +5 more
wiley   +1 more source

Radical‐Mediated Dispersion Breaks Aggregation Limits in Carbon Thermoelectrics

Angewandte Chemie, EarlyView.
We report a rationally designed small molecule (OTN) that effectively disperses SWCNTs via π–π and radical‐radical interactions, yielding hybrid films with a record power factor of 30.1 µW cm−1 K−2 and excellent flexibility. A nine‐leg device achieves a record normalized power density of 0.653 µW cm−2 K−2, setting a new benchmark for carbon‐based ...
Shanshan Zhou, Xiao‐Lei Shi, Meng Li, Wenyi Chen, Tianyi Cao, Nan‐Hai Li, Min Zhang, Prashant Sonar, Qian Liu, Zhi‐Gang Chen   +9 more
wiley   +2 more sources

Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook

Advanced Intelligent Discovery, EarlyView.
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang, Xinyi Chen, Xu Ye, Yulin Yang, Bin Ai   +4 more
wiley   +1 more source

Optimization Design and Performance Study of Wearable Thermoelectric Device Using Phase Change Material as Heat Sink. [PDF]

Materials (Basel)
Xin J, Xu G, Guo T, Nan B.
europepmc   +1 more source

Smart Flexible Tactile Sensors: Recent Progress in Device Designs, Intelligent Algorithms, and Multidisciplinary Applications

Advanced Intelligent Discovery, EarlyView.
Flexible tactile sensors have considerable potential for broad application in healthcare monitoring, human–machine interfaces, and bioinspired robotics. This review explores recent progress in device design, performance optimization, and intelligent applications. It highlights how AI algorithms enhance environmental adaptability and perception accuracy
Siyuan Wang, Ming Dong, Rongrong Bao, Caofeng Pan   +3 more
wiley   +1 more source

Flexible Thermoelectric Device Based on Protrusion-Structured Liquid Metal Elastomer for Gravity Heat Pipe. [PDF]

Micromachines (Basel)
Zhang X, Zhang X, Ge S, Zhang B, Zhang D, Yang J.   +5 more
europepmc   +1 more source

Nonequilibrium thermodynamic analysis of a thermoelectric device

, 1997
The performance of a thermoelectric device used as a heat pump or refrigerator is mainly affected by the Peltier, Fourier, Joule and Thomson effects. The differential equations governing the temperature field inside the device operated between two heat ...
陈金灿, Chen, J. C., Wu, L. Q., Yan, Z. J.   +3 more
core  

Factorization Machine‐Based Active Learning for Functional Materials Design with Optimal Initial Data

Advanced Intelligent Discovery, EarlyView.
This work investigates the optimal initial data size for surrogate‐based active learning in functional material optimization. Using factorization machine (FM)‐based quadratic unconstrained binary optimization (QUBO) surrogates and averaged piecewise linear regression, we show that adequate initial data accelerates convergence, enhances efficiency, and ...
Seongmin Kim, In‐Saeng Suh
wiley   +1 more source