Results 191 to 200 of about 3,044,582 (349)

Advanced Air Electrodes for Reversible Protonic Ceramic Electrochemical Cells: A Comprehensive Review

Advanced Materials, EarlyView.
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, Yeshu Tan, Zheng Li, Tong Liu, Yinghao Song, Shuo Zhai, Na Yu, Zongping Shao, Meng Ni   +8 more
wiley   +1 more source

GPU-accelerated simulated annealing based on p-bits with real-world device-variability modeling. [PDF]

Sci Rep
Onizawa N, Hanyu T.
europepmc   +1 more source

Pressure Induced Molecular‐Arrangement and Charge‐Density Perturbance in Doped Polymer for Intelligent Motion and Vocal Recognitions

Advanced Materials, EarlyView.
The sidechain doped polymer is investigated to have great potential for pressure detection due to the advantages including molecular rearrangement and charge‐density perturbance induced by micro‐mechanical deformation. This sensor displayed low‐pressure detection limit of 0.7 Pa as well as a rapid response time of 18.8 ms, enabling multi‐mode motion ...
Huimin Lu, Lei Zhang, Jingyan Jiang, Jian Song, Zhongchao Zhou, Wujian Wu, Ziqian Cheng, Tengfei Yan, Hong Hu, Tingting Zhao, Zhen Xu, Siyi Luo, Hui Li, Jianhua Zhang, Charles H. Lawrie   +14 more
wiley   +1 more source

Bayesian optimized indoor positioning algorithm based on dual clustering. [PDF]

Sci Rep
Chen M, Pu Q.
europepmc   +1 more source

Transforming Healthcare: Intelligent Wearable Sensors Empowered by Smart Materials and Artificial Intelligence

Advanced Materials, EarlyView.
Wearable sensors, empowered by AI and smart materials, revolutionize healthcare by enabling intelligent disease diagnosis, personalized therapy, and seamless health monitoring without disrupting daily life. This review explores cutting‐edge advancements in smart materials and AI‐driven technologies that empower wearable sensors for diagnostics and ...
Shuwen Chen, Shicheng Fan, Zheng Qiao, Zixiong Wu, Baobao Lin, Zhijie Li, Michael A. Riegler, Matthew Yu Heng Wong, Arve Opheim, Olga Korostynska, Kaare Magne Nielsen, Thomas Glott, Anne Catrine T. Martinsen, Vibeke H. Telle‐Hansen, Chwee Teck Lim   +14 more
wiley   +1 more source

Segment, Compare, and Learn: Creating Movement Libraries of Complex Task for Learning from Demonstration. [PDF]

Biomimetics (Basel)
Prados A, Espinoza G, Moreno L, Barber R.   +3 more
europepmc   +1 more source

Review: E. G. Coffman, George S. Lueker, Probabilistic Analysis of Packing and Partitioning Algorithms

, 1992
Mark Jerrum
openalex   +1 more source

Bit-Level Construction for Multiplicative-Repetition-Based Non-Binary Polar Codes. [PDF]

Entropy (Basel)
Xu R, Chen P, Liu L, Zhu M, Bai B.
europepmc   +1 more source

Partitioning single-molecule maps into multiple populations: algorithms and probabilistic analysis

, 2000
Laxmi Parida, Bud Mishra
openalex   +1 more source

Machine Learning‐Accelerated Reconstruction of Periodic Nanostructures with X‐ray Fluorescence Spectroscopy Methods

Advanced Materials Interfaces, EarlyView.
This study demonstrates the use of neural networks to accelerate nanostructure reconstruction from grazing incidence X‐ray fluorescence data, by replacing computationally expensive finite‐element method (FEM) simulations. The results show that neural networks can achieve accurate reconstructions while reducing computation time by several orders of ...
Vinh‐Binh Truong, Analía Fernández Herrero, Kas Andrle, Victor Soltwisch, Philipp Hönicke   +4 more
wiley   +1 more source