Results 141 to 150 of about 5,876,040 (331)

Electrospinning and Nanofiber Technology: Fundamentals, Innovations, and Applications

Advanced Materials, EarlyView.
This review explores electrospinning fundamentals, methods for synthesizing polymer, metal oxide, carbon, and composite nanofibers, and advancements in fiber architectures like porous, core–shell, and aligned structures. It highlights applications in functional membranes, sensors, energy systems, and catalyst design while addressing future ...
Yujang Cho, Jong Won Beak, Mingyu Sagong, Seongcheol Ahn, Jong Seok Nam, Il‐Doo Kim   +5 more
wiley   +1 more source

Reward boosts reinforcement-based motor learning

iScience, 2021
Summary: Besides relying heavily on sensory and reinforcement feedback, motor skill learning may also depend on the level of motivation experienced during training. Yet, how motivation by reward modulates motor learning remains unclear.
Pierre Vassiliadis, Gerard Derosiere, Cecile Dubuc, Aegryan Lete, Frederic Crevecoeur, Friedhelm C. Hummel, Julie Duque   +6 more
doaj  

Topology in Biological Piezoelectric Materials

Advanced Materials, EarlyView.
This review summarizes the topological structures in biological piezoelectric materials, covering morphology evolution, spatial arrangement, and biomimetic strategies. These topologies modulate structure‐property relationships across multiple scales, enabling performance enhancement and multifunctional integration.
Chen Chen, Yanhu Zhang, Yi Zheng, Yi Zhang, Hongyi Liu, Jiang Wu, Liang Yang, Zhengbao Yang   +7 more
wiley   +1 more source

Momentum in Reinforcement Learning

, 2019
We adapt the optimization's concept of momentum to reinforcement learning. Seeing the state-action value functions as an analog to the gradients in optimization, we interpret momentum as an average of consecutive $q$-functions. We derive Momentum Value Iteration (MoVI), a variation of Value Iteration that incorporates this momentum idea.
Vieillard, Nino, Scherrer, Bruno, Pietquin, Olivier, Geist, Matthieu   +3 more
openaire   +3 more sources

Uni‐Axial Densification of Slurry‐Casted Li₆PS₅Cl Tapes: The Role of Particle Size Distribution and Densification Pressure

Advanced Materials, EarlyView.
Solid‐state batteries promise high energy density and safety for electric vehicles. This study examines the densification of slurry‐casted Li₆PS₅Cl separator tapes, highlighting the role of particle size distribution and uni‐axial pressure. Wet milling refines particles while preserving conductivity, and a critical compaction threshold leads to ...
Quoc‐Anh Tran, Meenal Agrawal, Michael Häusler, Johannes Hörmann, Mohsen Sadeqi Moqadam, Günther J. Redhammer, Ingeborg Sellæg Ellingsen, Mir Mehraj Ud Din, Per Erik Vullum, Roman Zettl, Timo Danner, Arnulf Latz, Volker Hennige, Roland Brunner, Daniel Rettenwander   +14 more
wiley   +1 more source

Reinforcement-test-blank acquisition programming under the unmixed-list design in paired-associate learning [PDF]

, 1970
Chizuko Izawa
openalex   +1 more source

Harnessing Photo‐Energy Conversion in Nanomaterials for Precision Theranostics

Advanced Materials, EarlyView.
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, Yadi Fan, Qin Zhang, Yingying Huang, Mo Yang   +4 more
wiley   +1 more source

Accelerated Reinforcement Learning

2017 14th IEEE India Council International Conference (INDICON), 2017
Policy gradient methods are widely used in reinforcement learning algorithms to search for better policies in the parameterized policy space. They do gradient search in the policy space and are known to converge very slowly. Nesterov developed an accelerated gradient search algorithm for convex optimization problems. This has been recently extended for
openaire   +3 more sources

Neuromorphic Light‐Responsive Organic Matter for in Materia Reservoir Computing

Advanced Materials, EarlyView.
In this work we show that light‐responsive adaptive organic matter can store and process information at the matter level, and emulate neuromorphic functionalities such as short term memory, long term memory and visual memory. Besides demonstrating that material dynamics can be exploited for spatio‐temporal event detection and motion perception, we show
Federico Ferrarese Lupi, Mateo Rosero‐Realpe, Antonio Ocarino, Francesca Frascella, Gianluca Milano, Angelo Angelini   +5 more
wiley   +1 more source

Harnessing Synergistic Cooperation of Neighboring Active Motifs in Heterogeneous Catalysts for Enhanced Catalytic Performance

Advanced Materials, EarlyView.
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, Ching Kit Tommy Wun, Tsz Woon Benedict Lo   +2 more
wiley   +1 more source