Results 141 to 150 of about 11,358 (231)

Mechanistically Interpretable Artificial Intelligence for Designing Oxygen Electrocatalysts

Advanced Materials, EarlyView.
Mechanistically interpretable artificial intelligence screens nearly seven million perovskite compositions and identifies key descriptors—d‐p hybridization and densification resistance—that govern oxygen electrocatalysis. The discovered BaCo0.8Nb0.1Zr0.1O3‐δ achieves a record 2.68 W cm−2 peak power density at 600°C with over 500 h of durable operation ...
Xueyu Hu, Yucun Zhou, Haoyu Li, Zheyu Luo, Nai Shi, Yong Ding, Weining Wang, Weilin Zhang, Doyeub Kim, Chanho Kim, Yoojin Ahn, Nikhil Govindarajan, Minda Zou, Zhijun Liu, Yuefeng Song, Meilin Liu   +15 more
wiley   +1 more source

Internet of Plants: Machine Learning System for Bioimpedance-Based Plant Monitoring. [PDF]

Sensors (Basel)
Matuszewski Ł, Nikonowicz J, Bonczyk J, Tychowski M, Wyka TP, Duhart C.   +5 more
europepmc   +1 more source

Escaping the Scaling Relationships in Oxygen Reduction Catalysis: Implications for PEM Fuel Cells

Advanced Materials, EarlyView.
Escaping the scaling relationships of the oxygen reduction reaction is vital for hydrogen fuel cells. This outlook examines how interfacial heterogeneity, spanning the subsurface lattice, chemisorption layer, and near‐interface solvation volume, mechanistically decouples intermediate binding energetics.
Muhammad Bilal Wazir, Lourdes F. Vega, Maryam Khaleel   +2 more
wiley   +1 more source

Self-Oscillatory Neuron-like Devices for Unconventional Computing Applications. [PDF]

Chem Rev
Rivera-Sierra G, Bisquert J, Fenollosa R.   +2 more
europepmc   +1 more source

1‐D Collocated Dual‐Gradient Sensory Fibers for Comprehensive Sensing and Decoding of Complex Human Motion and Physiology

Advanced Materials, EarlyView.
Coupled materials design enables a monolithic fiber that integrates complementary sensing regimes into a single wearable strand. By preserving informative signal features across subtle physiological deformation, large body motion, and mixed mechanical inputs, the dual‐gradient architecture generates synchronized, less redundant outputs that improve ...
Yunheum Lee, Sungha Jeon, Min Kim, Joonhee Won, Jinwook Yeo, Kyunghyun Jo, Soyeon Lee, Kieun Park, Yechan Yang, Chul Kim, Gun‐Hee Lee, Seunghwa Ryu, Sungho Jo, Seongjun Park   +13 more
wiley   +1 more source

Relationships Among Auditory Discrimination, Adaptive Vocal Learning, and Perilaryngeal Muscle Activation in People With and Without Hyperfunctional Voice Disorders. [PDF]

J Speech Lang Hear Res
Kapsner-Smith MR, Cádiz MD, Knutson M, Eadie TL, Stepp CE.   +4 more
europepmc   +1 more source

Bioinspired Adaptive Surfaces for Intelligent Liquid Manipulation: Progressing From Passive and Active to Hybrid Strategies

Advanced Materials, EarlyView.
This review examines passive, active, and hybrid liquid manipulation strategies, highlighting hybrid approaches as an emerging route to reconcile energy efficiency with adaptive control. By actively reconstructing passive surfaces to store programmable interfacial energy, hybrid systems enable flexible yet low‐power liquid transport, with perspectives ...
Jiaqi Miao, Yiyuan Zhang, Liqiu Wang, Alan C. H. Tsang   +3 more
wiley   +1 more source

Enhanced smart commuting with artificial intelligence for intelligent health and safety monitoring in school buses. [PDF]

Sci Rep
Hossam H, Tamer R, Mohsen M, Ahmed O, Alaa M, Mourad J, Adel R, Hatem A, Sherif S.   +8 more
europepmc   +1 more source

Soft Skins With Reversible Thickness Morphing: Materials, Mechanisms, and Applications

Advanced Materials, EarlyView.
Evolution of electronic skin (e‐skin) technologies toward adaptive, multifunctional soft skins. Phase I highlights early rigid and discrete sensory interfaces. Phase II shows the transition toward flexible, stretchable, and large‐area e‐skin. Phase III captures the emergence of computational e‐skin.
Oliver Ozioko, Chiamaka Akah, Ravinder Dahiya   +2 more
wiley   +1 more source

Electromechanical Impedance Sensing Under Humid Conditions: Experimental Insights and Compensation Using Machine Learning. [PDF]

Sensors (Basel)
Dahl MK, Hire JH, Zamani M, Luca A, Moradi F.   +4 more
europepmc   +1 more source