Results 201 to 210 of about 15,414 (277)

Leaping plastic thermoelectrics through multi-heterojunction design. [PDF]

Natl Sci Rev
Lü JT.
europepmc   +1 more source

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

Nanoscale-surface roughness enhances the performance of organic thin-film thermoelectrics. [PDF]

RSC Adv
Kaur B, Khan EH, Routsi AM, Li L, Latulippe A, Sun H, Drew C, Kumar J, Christodouleas DC.   +8 more
europepmc   +1 more source

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

Robust bendable thermoelectric generators enabled by elasticity strengthening. [PDF]

Nat Commun
Ding W, Shen X, Jin M, Hu Y, Chen Z, Meng E, Luo J, Li W, Pei Y.   +8 more
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

Reduced multiplicity of crystallographic sites for superior thermoelectric performance of cubic Cu₆GeTeS₄ via chemical tailoring. [PDF]

Sci Adv
Yang Y, Zhang Y, Chen Z, Han P, Chen S, Hua C, Zheng Y, Ming H, Zhuang N, Luo ZZ, Zou Z.   +10 more
europepmc   +1 more source

Doping in Organic Semiconductors: Fundamentals, Materials, and Applications

Advanced Electronic Materials, EarlyView.
Sergi Riera‐Galindo
wiley   +1 more source

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

Nanostructured Semiconductors for Flexible Thermoelectric Applications. [PDF]

Nanomaterials (Basel)
Luo Y, Yu C, Niu Y, Guo H, Feng X.
europepmc   +1 more source