Results 141 to 150 of about 1,418 (243)

Metal-Assisted Chemical Etching of p‑type Si Nanopillars with Doping Level of 10²⁰ cm^-3. [PDF]

ACS Appl Electron Mater
Giulio F, Calciati L, Santamaria R, Bonaventura E, Acciarri M, Bonera E, Narducci D.   +6 more
europepmc   +1 more source

Toward Environmentally Friendly Hydrogel‐Based Flexible Intelligent Sensor Systems

Advanced Intelligent Discovery, EarlyView.
This review summarizes environmentally and biologically friendly hydrogel‐based flexible sensor systems focusing on physical, chemical, and physiological sensors. Furthermore, device concepts moving forward for the practical application are discussed about wireless integration, the interface between hydrogel and dry electronics, automatic data analysis
Sudipta Kumar Sarkar, Kuniharu Takei
wiley   +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

Bionic Multimodal Augmented Somatosensory Receptor Enabled by Thermogalvanic Hydrogel. [PDF]

Adv Sci (Weinh)
Li N, Wang Z, Niu Y, Li Y, Wen S, Zhang H, Lin ZH.   +6 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

Improvement of the Thermoelectric Power Factor of ZnO Using Ionic Liquids. [PDF]

ACS Appl Electron Mater
Rahman MM, Márquez-García L, Montaña-Mora G, Xiao K, Solis-de la Fuente M, Castro-Ruiz S, Fantini S, Cabot A, García-Cañadas J.   +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

Ultrahigh thermoelectricity obtained in classical BiSbTe alloy processed under super-gravity. [PDF]

Nat Commun
Zhou M, Su H, Pei J, Wang L, Zhuang H, Li JF, Song K, Hu H, Jiang J, Zhang Q, Li J, Li L.   +11 more
europepmc   +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

Enhanced Model for the Analysis of Thermoelectric Effects at Nanoscale: Onsager's Method and Liu's Technique in Comparison. [PDF]

Entropy (Basel)
Di Domenico M, Sellitto A.
europepmc   +1 more source