Electrically Tuning Electromagnetic Wave Shielding in Phase Engineered 1T/2H‐MoS2‐Based Devices
Sub‐millimeter‐thick phase‐engineered 1T/2H‐MoS2 structures enable electrically tunable electromagnetic interference shielding through active modulation of microwave absorption and reflection. The coexistence of metallic and semiconducting phases, combined with a PVA/KOH gel electrolyte, provides dynamic control over charge transport and interfacial ...
Mustafa Akyol +3 more
wiley +1 more source
A multi agro-climatic reference dataset for irrigated and non-irrigated fields: France and Kazakhstan. [PDF]
Bazzi H +6 more
europepmc +1 more source
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 +3 more
wiley +1 more source
Synergistic active and passive remote sensing with multi-feature optimization for winter wheat identification in oasis agriculture of Arid Desert Regions. [PDF]
Cao L +8 more
europepmc +1 more source
Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia +1 more
wiley +1 more source
Non-gravitational acceleration indicative of cometary activity of near-Earth object. [PDF]
Farnocchia D +14 more
europepmc +1 more source
Data‐Efficient Cycle‐Level Capacity Prediction Using 1D Deep Convolutional Network
We introduce DeepBat, a deep learning framework featuring a 1D convolutional backbone designed to extract latent degradation patterns from a microstructurally diverse electrode dataset. By learning complex formulation–performance relationships, the model accurately predicts long‐term specific discharge capacity using limited early‐cycle data, providing
Tao Huang +16 more
wiley +1 more source
Assessing the influence of environmental gradients on grassland aboveground biomass density estimation using GEDI and multi-source remote sensing. [PDF]
Liang E.
europepmc +1 more source
Dynamic Obstacle Avoidance of Metamorphic Microrobots Using Concentric Sector Navigator
Metamorphic magnetic microrobots are navigated using a concentric sector navigator for dynamic obstacle avoidance in both microroller and swarm states. After microroller transport, citrate‐triggered dissolution releases nanoparticles that reassemble into a controllable swarm.
Zhaowen Su +4 more
wiley +1 more source
EdgeTwin-DRL: Real-Time Counter-UAS Detection and Response Optimization Using Edge-Assisted Digital Twins and Multi-Agent Deep Reinforcement Learning. [PDF]
Alnaim AK, Alwakeel AM.
europepmc +1 more source

