Results 161 to 170 of about 2,614 (275)

A lightweight LSTM-based open-set RF fingerprinting identification for edge deployment. [PDF]

Sci Rep
Hu Y, Fu Y, Chen Y.
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

Axes Mapping and Sensor Fusion for Attitude-Unconstrained Pedestrian Dead Reckoning. [PDF]

Sensors (Basel)
Isaia C, Yu L, Cai W, Michaelides MP.
europepmc   +1 more source

Dual Impact of Long‐Lived Localized Carriers Induced by Restricted Hole Transfer in Organic Photovoltaics and Photocatalytic Hydrogen Evolution

Advanced Energy Materials, EarlyView.
This work clarifies why organic semiconductors perform differently in photovoltaic devices and photocatalytic nanoparticles. By examining D18:Y5 and PM6:Y6 systems, we show how aggregation, exciton lifetime, and interfacial charge transfer behavior govern energy‐conversion pathways.
Gayoung Ham, Sanghyeok An, Wooteak Jung, Hyun Min Kwon, Seonghyeon Kang, Jaehyuk Lee, Sowon Kim, Changwoo Park, Damin Lee, Young Yong Kim, Sungjin Jo, Chang Yun Son, Sae Byeok Jo, Dae Sung Chung, Hyojung Cha   +14 more
wiley   +1 more source

Radio Frequency Fingerprinting for Low-end Wireless Devices

, 2014
RF fingerprinting is proposed as a means of providing an additional layer of security for wireless devices. A unique RF fingerprint can be used to establish the identity of a specific wireless transmitter in order to prevent masquerading or impersonation
Rehman, Saeed
core  

Adaptive Dual Reinforcement Learning for Hybrid Spatial-Temporal Networks in RIS-Assisted Indoor Localization (ADRL-HSTNet). [PDF]

Sensors (Basel)
Mohamed M, Radi A, Zahran S.
europepmc   +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

Assessment of Android Network Positioning as an Alternate Source for Robust PNT. [PDF]

Sensors (Basel)
Chun J, Spagnolli J, Holmes T, Akos D.
europepmc   +1 more source

Silicon‐Based Anodes for Sulfide Solid‐State Batteries: Failure Mechanisms and Multiscale Design Strategies

Advanced Energy Materials, EarlyView.
Silicon anodes in sulfide SSBs face coupled electrochemo‐mechanical failure by interface instability. This review examined recent advances and proposed mitigation strategies via material‐, electrode/interface‐, and cell‐level‐ engineering. We further evaluate scalable synthesis of sulfide SEs.
Murugesan Karuppaiah, JaeWook Seo, SeEun Park, Seung Hyeok Chu, Jung Kyoo Lee   +4 more
wiley   +1 more source

<i>J</i>-Resolved Molecular Fingerprinting by Parahydrogen Hyperpolarized Low-Field NMR. [PDF]

J Am Chem Soc
Zhang Z, Savukov I, Hilty C.
europepmc   +1 more source