Sst-emotionnet: Spatial-spectral-temporal based attention 3d dense network for eeg emotion recognition
Multimedia stimulation of brain activities has not only become an emerging field for
intensive research, but also achieves important progress in the electroencephalogram (EEG) …
intensive research, but also achieves important progress in the electroencephalogram (EEG) …
Lithium-mediated ammonia electrosynthesis with ether-based electrolytes
Ammonia is of great importance in fertilizer production and chemical synthesis. It can also
potentially serve as a carbon-free energy carrier for a future hydrogen economy. Motivated by …
potentially serve as a carbon-free energy carrier for a future hydrogen economy. Motivated by …
SleepPrintNet: A multivariate multimodal neural network based on physiological time-series for automatic sleep staging
Sleep is one of the most fundamental physiological activities of human beings. Sleep
assessment based on physiological time-series can efficiently assist human experts to diagnose …
assessment based on physiological time-series can efficiently assist human experts to diagnose …
Bubble evolution and transport in PEM water electrolysis: Mechanism, impact, and management
Proton exchange membrane water electrolysis (PEMWE), as a promising technology for
hydrogen production from renewable energy sources, has great potential for industrial …
hydrogen production from renewable energy sources, has great potential for industrial …
Membrane electrode assembly design for lithium-mediated electrochemical nitrogen reduction
Ammonia is closely associated with the food supply and production of chemicals in modern
society. Motived by the global shift toward green production, the synthesis of ammonia via …
society. Motived by the global shift toward green production, the synthesis of ammonia via …
A functionally stable RuMn electrocatalyst for oxygen evolution reaction in acid
Proton exchange membrane water electrolysis (PEMWE) is a key technology to solve the
serious energy and environmental problems. However, the poor durability of electrocatalysts in …
serious energy and environmental problems. However, the poor durability of electrocatalysts in …
Multi-modal physiological signals based squeeze-and-excitation network with domain adversarial learning for sleep staging
… (Ziyu Jia and Xiyang Cai contributed equally to this work.) (Corresponding author: Ziyu Jia.)
… Xiyang Cai is with the School of Computer and Information Technology, Beijing Jiaotong …
… Xiyang Cai is with the School of Computer and Information Technology, Beijing Jiaotong …
Lithium-mediated electrochemical nitrogen reduction: Mechanistic insights to enhance performance
Green synthesis of ammonia by electrochemical nitrogen reduction reaction (NRR) shows
great potential as an alternative to the Haber-Bosch process but is hampered by sluggish …
great potential as an alternative to the Haber-Bosch process but is hampered by sluggish …
Ultrafine Core@Shell Cu1Au1@Cu1Pd3 Nanodots Synergized with 3D Porous N-Doped Graphene Nanosheets as a High-Performance Multifunctional …
Rationally combining designed supports and metal-based nanomaterials is effective to
synergize their respective physicochemical and electrochemical properties for developing highly …
synergize their respective physicochemical and electrochemical properties for developing highly …
The critical role of A, B-site cations and oxygen vacancies on the OER electrocatalytic performances of Bi0. 15Sr0. 85Co1− xFexO3− δ (0.2≤ x≤ 1) perovskites in …
J Li, F Yang, Y Du, M Jiang, X Cai, Q Hu… - Chemical Engineering …, 2023 - Elsevier
Abstract Development of perovskite-type electrocatalysts with high activity, excellent durability
and affordable cost provides a promising solution to promote commercialization of clean …
and affordable cost provides a promising solution to promote commercialization of clean …