Results 191 to 200 of about 4,966,983 (285)

Autogenerating a Domain-Specific Question-Answering Data Set from a Thermoelectric Materials Database to Enable High-Performing BERT Models. [PDF]

J Chem Inf Model
Sierepeklis O, Cole JM.
europepmc   +1 more source

Ultrathin Aluminum–Air Batteries via Hygroscopic Electrolytes for Continuous Operation of Imperceptible On‐Skin Electronics

Advanced Energy Materials, EarlyView.
This study presents ultrathin, high‐capacity aluminum‐air batteries (AABs) for self‐sustaining, skin‐conformal electronics. By utilizing ambient moisture and oxygen alongside a LiCl‐based hygroscopic hydrogel electrolyte, the design significantly reduces battery thickness while preventing dehydration and Al self‐corrosion.
Jaeil Park, Inho Lee, Namhee Kim, Wonseok Shin, Joo Sung Kim, Daegun Kim, Giwon Lee, Jinhan Cho, Hoon‐Hee Ryu, Myung‐Han Yoon, Seung Joon Yoo, Woo‐Jin Song, Sungjun Park   +12 more
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

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

Materials (Basel)
Xiao H.
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

Characterisation of Electro-Brush Plated Nickel Coatings on P-Type (Zr,Ti)Co(Sn,Sb) Half-Heusler Thermoelectric Materials for Stable Contact Layers. [PDF]

Materials (Basel)
Gurtaran M, Zhang Z, Li X, Dong H.
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

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

Front Chem
Lee MJ, Kim CY, Lim JH.
europepmc   +1 more source

Self‐Driving Laboratory Optimizes the Lower Critical Solution Temperature of Thermoresponsive Polymers

Advanced Intelligent Discovery, EarlyView.
A low‐cost, self‐driving laboratory is developed to democratize autonomous materials discovery. Using this "frugal twin" hardware architecture with Bayesian optimization, the platform rapidly converges to target lower critical solution temperature (LCST) values while self‐correcting from off‐target experiments, demonstrating an accessible route to data‐
Guoyue Xu, Renzheng Zhang, Tengfei Luo
wiley   +1 more source