Results 151 to 160 of about 57,740 (314)
A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem
Zhengyao Jiang, Dixing Xu, Jinjun Liang
openalex +2 more sources
Photonic Nanomaterials for Wearable Health Solutions
This review discusses the fundamentals and applications of photonic nanomaterials in wearable health technologies. It covers light‐matter interactions, synthesis, and functionalization strategies, device assembly, and sensing capabilities. Applications include skin patches and contact lenses for diagnostics and therapy. Future perspectives emphasize AI‐
Taewoong Park +3 more
wiley +1 more source
Rainbow: Combining Improvements in Deep Reinforcement Learning
Matteo Hessel +9 more
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An overview is provided of the mechanochemistry of metal‐organic frameworks (MOFs) and covalent‐organic frameworks (COFs), highlighting opportunities and strategies for discovery, synthesis and reactivity studies of these materials. Mechanistic studies and comparisons to the mechanochemistry of organic solids are outlined, showcasing how advances in ...
Joseph M. Marrett +3 more
wiley +1 more source
Carbon‐based piezoelectric materials are systematically categorized based on their structural and functional properties. The mechanisms of stress‐induced charge transfer are elucidated, and their applications are explored across three key domains: piezoelectric catalysis for energy conversion and environmental remediation, piezoelectric biomedical ...
Mude Zhu +3 more
wiley +1 more source
Harnessing Photo‐Energy Conversion in Nanomaterials for Precision Theranostics
Harnessing photo‐energy conversion in nanomaterials enables precision theranostics through light‐driven mechanisms such as photoluminescence, photothermal, photoelectric, photoacoustic, photo‐triggered surface‐enhanced Raman scattering (SERS), and photodynamic processes. This review explores six fundamental principles of photo‐energy conversion, recent
Jingyu Shi +4 more
wiley +1 more source
A Secure Mobile Crowdsensing Game With Deep Reinforcement Learning
Liang Xiao +4 more
openalex +1 more source
This review examines the critical role of neighboring active motifs in heterogeneous catalysts, emphasizing how their synergistic cooperativity can be rationally designed to modulate catalytic properties. The discussion centers on the modulation of electronic and geometric structures, categorizing the catalytic systems into metal‐acid (Brønsted/Lewis ...
Peng Yuan +2 more
wiley +1 more source
Trustworthy navigation with variational policy in deep reinforcement learning. [PDF]
Bockrath K +4 more
europepmc +1 more source

