Results 271 to 280 of about 376,628 (314)
AI‐Assisted Workflow for (Scanning) Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling. Abstract (Scanning) transmission electron microscopy ((S)TEM) has significantly advanced materials science but faces challenges in correlating precise atomic structure information with the functional properties of ...
Marc Botifoll +19 more
wiley +1 more source
Galvanic‐Cell‐Based Self‐Powered Bioelectronic Devices
The emerging galvanic‐cell‐based self‐powered bioelectronics for biomedical applications with passive and active control strategies are summarized. In addition, the challenges and opportunities for galvanic devices are also discussed. Abstract Bioelectronic devices hold significant promise for advancing biomedical technologies, addressing critical ...
Yu Xin +4 more
wiley +1 more source
Robust Distributed Observers for Simultaneous State and Fault Estimation over Sensor Networks. [PDF]
Liang D, Ren Y, Lv Y, Wang S.
europepmc +1 more source
Study on Enhancing Dueling DQN Performance in Incomplete Observable Environments
Masashi Sugimoto +4 more
openalex +1 more source
This review examines hydrogel‐based technologies driven by environmental stimuli and emphasizes their unique contributions to energy conversion. It provides insights into design strategies and recent advancements in functional hydrogels, highlighting opportunities and challenges in this field.
Wanheng Lu +5 more
wiley +1 more source
Hierarchical reinforcement learning-based traffic signal control. [PDF]
Shen J.
europepmc +1 more source
Inverse CeOx/Co catalysts are promising new materials for CO2 methanation. Operando spectroscopy reveals that small, reducible CeO2‐x clusters effectively stabilize Co nanoparticles from sintering during H2 reduction and promote CO2 activation at the Co‐CeO2 interface.
Yu Gao +7 more
wiley +1 more source
Geometric Aspects of Observability of Hypergraphs. [PDF]
Pickard J +4 more
europepmc +1 more source
Sensor Importance towards Observability Degree via Shapley Values
Ravindra, Vishal Cholapadi
openalex +1 more source

