Results 221 to 230 of about 9,408,729 (324)

Dramatic Enhancement of Thermoelectric Performance in Two-Dimensional Materials Enabled by Nanoscroll Architecture. [PDF]

Adv Mater
Zhu H, Xie S, Yu L, Sun S, Lv R, Wang 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

Enhanced Terahertz Thermoelectricity Via Engineered Van Hove Singularities and Nernst Effect in Moiré Superlattices

L. Elesin, А. Л. Шилов, Somnath Jana, Ilya Mazurenko, Pierre A. Pantaleón, Mikhail Kashchenko, N. Krivovichev, V. V. Dremov, Igor Gayduchenko, T. Taniguchi, K. Watanabe, Yibo Wang, Kostya S. Novoselov, Dmitry Svintsov, Grigory Goltsman, Elena Titova, D. A. Bandurin   +16 more
openalex   +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

Thermal-feedback modality switchable hydrogel with thermoelectric self-modulation for stage-adaptive repair of infected diabetic wound. [PDF]

Nat Commun
Yang Y, Fang Q, Shu T, Liu W, Sun Y, Liu X, Li M, Guo B.   +7 more
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

Magnesium‐Retention Assisted Synthesis of High‐Performance Zintl Thermoelectrics

Angewandte Chemie, EarlyView.
Mg volatilization and chemical instability during high‐temperature synthesis hinder the scalable fabrication of Mg‐based thermoelectrics. Here, a magnesium‐retention assisted synthesis (MRAS) strategy stabilizes Mg using a sacrificial Mg reservoir and an inert‐gas‐regulated melting environment.
Boxuan Hu, Xiao‐Lei Shi, Tianyi Cao, Nanhai Li, Chao Zhang, Sen Wang, Siqi Liu, Meng Li, Dmitri Golberg, Zhi‐Gang Chen   +9 more
wiley   +2 more sources

Harnessing Digital Microstructure for Simulation‐Guided Optimization of Permanent Magnets

Advanced Intelligent Discovery, EarlyView.
An experimental‐to‐computational workflow is presented that transforms experimental 3D focused ion beam‐scanning electron microscopy data into a simulation‐ready digital microstructure for multiphase functional materials. Using heavy‐rare‐earth‐free Nd–Fe–B magnets as a model system, the approach quantifies grain connectivity across complex secondary ...
Nikita Kulesh, Anton Bolyachkin, Hajime Nakamura, Tadakatsu Ohkubo, Hossein Sepehri‐Amin   +4 more
wiley   +1 more source

Functional Hydrogel-Based Flexible Thermoelectric Generators: Principles, Mechanism, and Emerging Applications. [PDF]

Gels
Bhuyan MM, Jeong JH.
europepmc   +1 more source

A Critical Assessment of Bonding Descriptors for Predicting Materials Properties

Advanced Intelligent Discovery, EarlyView.
The impact of new bonding descriptors in machine learning models for predicting material properties is assessed. Improvements are validated using significance tests, and new, intuitive descriptors for screening lattice thermal conductivity and projected force constants are introduced.
Aakash Ashok Naik, Nidal Dhamrait, Katharina Ueltzen, Christina Ertural, Philipp Benner, Gian‐Marco Rignanese, Janine George   +6 more
wiley   +1 more source