Results 191 to 200 of about 5,547 (252)

Neurological Manifestations of Zika Virus Infection: An Updated Review of the Existing Literature. [PDF]

Cureus
Saeed H, Rehman G, Mehmood Qadri H, Sohail A, Ul Haq A, Sadiq HZ, Yasin S, Khalid Rana MA.   +7 more
europepmc   +1 more source

Influence of Top Electrode Metal on Resistive Switching in Multilayer MOCVD MoS2 Memristors

Advanced Electronic Materials, EarlyView.
MoS2 memristors typically use evaporated noble metal electrodes. This study compares Pd, Ni, and Al electrodes and sputtered versus evaporated deposition. Pd is passive, while Ni damages MoS2, yielding poor switching. Sputtered Al enables reproducible ECM‐type switching with 95% yield, whereas evaporated Al forms an interfacial oxide that suppresses ...
Dennis Braun, Jing Liu, Vasilis A. Maroufidis, Hleb Fiadziushkin, Lukas Völkel, Jimin Lee, Sofía Cruces, Annika Grundmann, Ke Ran, Thorsten Wahlbrink, Holger Kalisch, Andrei Vescan, Joachim Mayer, Michael Heuken, Alwin Daus, Max C. Lemme   +15 more
wiley   +1 more source

Multi-camera spatiotemporal deep learning framework for real-time abnormal behavior detection in dense urban environments. [PDF]

Sci Rep
Veesam SB, Rao BT, Begum Z, Patibandla RSML, Dcosta AA, Bansal S, Prakash K, Faruque MRI, Al-Mugren KS.   +8 more
europepmc   +1 more source

Prediction of Structural Stability of Layered Oxide Cathode Materials: Combination of Machine Learning and Ab Initio Thermodynamics

Advanced Energy Materials, EarlyView.
In this work, we developed a phase‐stability predictor by combining machine learning and ab initio thermodynamics approaches, and identified the key factors determining the favorable phase for a given composition. Specifically, a lower TM ionic potential, higher Na content, and higher mixing entropy favor the O3 phase.
Liang‐Ting Wu, Milica Zdravković, Dijana Milosavljević, Konstantin Köster, Olivier Guillon, Jyh‐Chiang Jiang, Payam Kaghazchi   +6 more
wiley   +1 more source

Constructing three-way classifier with interval granulation neighborhood rough sets based on uncertainty invariance. [PDF]

Front Neurorobot
Wang Y, Xu T, Huang R, Liu Z, Yang J.
europepmc   +1 more source

Deciphering Intricacies in Directional CO2 Conversion From Electrolysis to CO2 Batteries

Advanced Energy Materials, EarlyView.
This review will delve into the inherent connections and distinctions of CO2‐directed conversion in ECO2RR and CO2 batteries, in terms of product types, catalyst selection, catalytic mechanisms, and electrochemical performances, while proposing a benchmarking framework for the evaluation of CO2 batteries and innovative CO2 battery configurations for ...
Changfan Xu, Huaping Zhao, Lizhuang Chen, Weidong Shi, Guosheng Shao, Yong Lei   +5 more
wiley   +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

Interlaboratory comparison of a multiplex immunoassay that measures human serum IgG antibodies against six-group B streptococcus polysaccharides. [PDF]

Hum Vaccin Immunother
Le Doare K, Gaylord MA, Anderson AS, Andrews N, Baker CJ, Bolcen S, Felek A, Giardina PC, Grube CD, Hall T, Hallis B, Izu A, Madhi SA, Maniatis P, Matheson M, Mawas F, McKeen A, Rhodes J, Alston B, Patel P, Schrag S, Simon R, Tan CY, Taylor S, Kwatra G, Gorringe A.   +25 more
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

Development and validation of a 6-plex Luminex-based assay for measuring human serum antibodies to group B streptococcus capsular polysaccharides. [PDF]

Hum Vaccin Immunother
Gaylord MA, Larrier M, Giordano-Schmidt D, Grube CD, Singh S, Nguyen HH, McKeen A, Tan CY, Anderson AS, Kalina WV, Pavliakova D, Giardina PC.   +11 more
europepmc   +1 more source