Results 171 to 180 of about 1,169,808 (377)
At this time, as the world and nations move to reduce the use of fossil fuels, research is oriented toward improving the energy consumption of people and buildings.
Fathi Farah Fadoul +2 more
doaj +1 more source
Reversible protonic ceramic electrochemical cells (R‐PCECs) face challenges from sluggish and unstable oxygen reduction and evolution reactions in the air electrode. This review discusses recent progress in triple‐conducting air electrodes, emphasizing mechanisms, performance factors, and design strategies, offering guidance for creating efficient and ...
Xi Chen +8 more
wiley +1 more source
Unperceivable Designs of Wearable Electronics
Unperceivable wearable technologies seamlessly integrate into everyone's daily life, for healthcare and Internet‐of‐Things applications. By remaining completely unnoticed both visually and tactilely, by the user and others, they ensure medical privacy and allow natural social interactions.
Yijun Liu +2 more
wiley +1 more source
Learning and Evaluating Possibilistic Decision Trees using Information Affinity [PDF]
Ilyes Jenhani +2 more
openalex +1 more source
Protonic ceramic electrolysis cells (PCECs) are a promising intermediate‐temperature hydrogen production technology, leveraging high proton conductivity in electrolytes yet constrained by insufficient catalytic activity and interfacial instability in fuel/air electrodes. This review systematically categorizes advanced electrode materials and critically
Zhipeng Liu +6 more
wiley +1 more source
Bioinspired Adaptive Sensors: A Review on Current Developments in Theory and Application
This review comprehensively summarizes the recent progress in the design and fabrication of sensory‐adaptation‐inspired devices and highlights their valuable applications in electronic skin, wearable electronics, and machine vision. The existing challenges and future directions are addressed in aspects such as device performance optimization ...
Guodong Gong +12 more
wiley +1 more source
Decision tree-based learning to predict patient controlled analgesia consumption and readjustment [PDF]
Yuh‐Jyh Hu +5 more
openalex +1 more source
Néel Tensor Torque in Polycrystalline Antiferromagnets
This work introduces a Néel tensor torque based on a rank‐two symmetric tensor capturing spin correlations in a polycrystalline antiferromagnet. It shows the Néel tensor can be shaped and reshaped through the spin‐orbit torque (SOT) technique, enabling field‐free SOT switching with a specific polarity of the adjacent ferromagnet. This discovery opens a
Chao‐Yao Yang +4 more
wiley +1 more source
This review summarizes the latest progress in transforming renewable bamboo resources into high‐value functional materials. It emphasizes how to leverage bamboo's multiscale hierarchical structures to realize innovative applications in energy, construction, environment, and medicine, providing key insights for developing high‐performance bio‐based ...
Yuxiang Huang +13 more
wiley +1 more source

