Results 171 to 180 of about 4,675,099 (276)

Microscale 3D‐Printed Digital Strain Switches for Embedded Mechanical Computation

Advanced Materials Technologies, EarlyView.
Microscale 3D‐printed strain switches on flexible films convert deformation into native digital signals at geometry defined thresholds. A closed form model predicts switching from 3000 to 15 000 microstrain and is validated across 110 devices. Reliable ohmic closure and strain activated AND, OR, and XOR logic point toward low‐power mechanical ...
Regan Kubicek, Daniel Quinn, Gabriel Smith, Sarah Bergbreiter   +3 more
wiley   +1 more source

Explainable Remaining Useful Life Prediction of Air Circuit Breakers via Physics-Informed Electro-Mechanical Feature Fusion. [PDF]

Sensors (Basel)
Zhou J, Chen W, Chen J, Chen X.
europepmc   +1 more source

Moisture‐Adaptive Triboelectric Materials and Platforms: Design Strategies, Performance Enhancement, and Applications in Energy Harvesting and Wearable Electronics

Advanced Materials Technologies, EarlyView.
This review summarizes moisture‐adaptive strategies that enable triboelectric nanogenerators (TENGs) to operate across diverse moisture conditions. It examines moisture‐management methods, including exclusion, directional transport, removal, and utilization, with charge‐regulation approaches based on interfacial, dielectric, and structural engineering.
Junzhe Gan, Zhao Sha, Xuehua Zhang, Hoang‐Phuong Phan, Jin Zhang   +4 more
wiley   +1 more source

Deep learning-based RUL and SOH prediction of lithium-ion batteries using LOCO. [PDF]

Sci Rep
Ali B, Matloob I, Alkhalifa N, Alkhalifa AK, Asim N, Kanwal S, Inam S.   +6 more
europepmc   +1 more source

On‐Chip Photonic Neural Network Architectures

Advanced Optical Materials, EarlyView.
This review presents a comprehensive overview of on‐chip photonic neural network architectures, covering key photonic building blocks, representative network types, and emerging applications. Recent advances, implementation challenges, and future directions are examined, highlighting the potential of integrated photonics to enable ultrafast, energy ...
Seokjin Hong, Berkay Neseli, Seungyeon Cho, Seungsoo Lee, Yeonjun Kim, Seungyoon Choi, Hyo‐Hoon Park, Hamza Kurt   +7 more
wiley   +1 more source

Sensor-Based Channel-Wise Remaining Useful Life Estimation and Multi-Threshold Maintenance Policy for Steel-Cord Conveyor Belts. [PDF]

Sensors (Basel)
Błażej R, Jurdziak L, Rzeszowska A.
europepmc   +1 more source

Dynamic Fluorescence Modulation via Light‐Driven Competitive Protonation

Advanced Optical Materials, EarlyView.
A two‐component molecular system demonstrates reversible, light‐driven fluorescence write–erase cycling and thermal imaging. Illumination of a merocyanine photoacid transfers a proton to a highly efficient fluorescent pyridinium dye, switching its emission color; thermal relaxation reverses the process in the dark.
Serena X. Liu, Moritz E. Kleybolte, Colin van Dyck, Sergey I. Vagin, Preeti Gahtori, Antonio Scarpati, Razieh Firouzihaji, Diogo A. Galico, Ulrich S. Schubert, Julianne Gibbs, Alkiviathes Meldrum   +10 more
wiley   +1 more source

A Fractional-Derivative Multi-Kernel Adaptive Learning Approach for Remaining Useful Life Prediction of Rotating Machinery. [PDF]

Sensors (Basel)
Pan L, Xu J, Peng L, Bi D, Xie Y.
europepmc   +1 more source

Aberrations‐Corrected Ratiometric Parameters and PLQYs for Upconversion Thermometry in Hexagonal NaYF4:Yb3+,Er3+ and NaYF4:Yb3+,Tm3+ in Micro and Nanoscale Phosphors Using Novel Integrating Sphere Setup

Advanced Optical Materials, EarlyView.
Each optical system introduces aberrations in the reading of photoluminescence, which makes the signal dependant on the lab equipment. Here, a calibrated system is used to obtain the PLQYs and ratiometric parameters of popular upconverters to be used in thermometry.
Adilet Zhakeyev, Feng Li, Daniel Biner, Karl W. Krämer, Guanying Chen, Jose Marques‐Hueso   +5 more
wiley   +1 more source

Early Postmortem Changes in NADH Fluorescence Lifetime Parameters in Rat Skeletal Muscle: Potential for Postmortem Interval Estimation. [PDF]

Int J Mol Sci
Babkina A, Ryzhkov I, Yadgarov M, Potapova E, Dremin V, Kandurova K, Seryogina E, Shupletsov V, Golubev A, Sundukov D, Kuzovlev A.   +10 more
europepmc   +1 more source