Results 171 to 180 of about 1,065 (251)

ESO based adaptive neural network control for a quadrotor against wind and payload disturbances. [PDF]

Sci Rep
Cai X, Dai J, Liu F, Ye P.
europepmc   +1 more source

Broadband Near‐Field Computational Microwave Imaging Enabled by Nonperiodic Dispersive Unit‐Cell Loading in a Passive Metasurface

Advanced Electronic Materials, EarlyView.
A compact passive engineered surface converts changes in microwave frequency into many distinct illumination patterns, allowing nearby objects to be imaged without mechanical scanning, active tuning, or a large antenna array. Operating from 18 to 28 GHz, the single‐port system uses measured field patterns to reconstruct metallic targets and distinguish
Mohammed H. Arif, Firas Slewa Dawod, Henrik Jansen, Caner Kadıoğlu, Sayan Roy, Dirk Heberling, Renato Negra   +6 more
wiley   +1 more source

Predictive temperature control of electric two wheeler hub motor using gradient aware neural regulation with degradation tracking and fault tolerant multi condition torque adaptation. [PDF]

Sci Rep
Deshmukh S, Lokhande N, Yeolekar S.
europepmc   +1 more source

Safety of Sodium‐Ion Batteries: Evaluation and Perspective from Component Materials to Cells, Modules, and Packs

Advanced Energy Materials, EarlyView.
This review provides a bottom‐up evaluation of sodium‐ion battery safety, linking material degradation mechanisms, cell engineering parameters, and module/pack assembly. It emphasizes that understanding intrinsic material stability and establishing coordinated engineering control across hierarchical levels are vital for preventing degradation coupling ...
Won‐Gwang Lim, Seoa Kim, Erik A. Wu, Darren H. S. Tan, Shawn Peng, Xiaolin Li   +5 more
wiley   +1 more source

A Conceptual Reference Architecture for Robust, Leakage-Resilient and Verifiable Access Control in Secure IoT Outsourcing. [PDF]

Sensors (Basel)
Elkhider SM.
europepmc   +1 more source

Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories

Advanced Energy Materials, EarlyView.
In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen, Zheyu Zhang, Kelvian T. Mularso, Bonghyun Jo, Hyun Suk Jung   +4 more
wiley   +1 more source

Oscillator-qubit generalized quantum signal processing: a case study of the uracil cation vibronic model. [PDF]

Chem Sci
Hong J, Kim SH, Min SK, Huh J.
europepmc   +1 more source

Analysis of a Uniform Passive Fault-Tolerant Control Method for Multicopters

Journal of Systems Engineering and Electronics
Chenxu Ke, Kaiyuan Cai, Quan Quan
openaire   +1 more source

Machine Learning Interatomic Potentials for Energy Materials: Architectures, Training Strategies, and Applications

Advanced Energy Materials, EarlyView.
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park, Saeed Pourasad, Jinhong Mun, Arunkumar Chitteth Rajan, Tae Hyeon Park, Anand Rohit, Mohammad Zafari, Tan‐Lien Pham, Eunjae Jung, Bonseung Koo, Miran Ha, Gi Beom Sim, Hyun Gyu Park, Won Woong Choi, Kwanghyeon Jo, Soohaeng Yoo Willow, David ChangMo Yang, Chang Woo Myung, Geunsik Lee, Kwang S. Kim   +19 more
wiley   +1 more source

Enhancing health literacy and patient engagement through a privacy-aware social network-based digital health communication framework. [PDF]

Front Public Health
Allheeib N, Khan S, Mohammad F, Khan DM.
europepmc   +1 more source