Results 91 to 100 of about 5,619,500 (318)

A Comprehensive Review of Additive Manufacturing for Space Applications: Materials, Advances, Challenges, and Future Directions

Advanced Engineering Materials, EarlyView.
Additive manufacturing (AM) transforms space hardware by enabling lightweight, high‐performance, and on‐demand production. This review outlines AM processes—powder bed fusion (PBF), directed energy deposition (DED), binder jetting (BJ), sheet lamination (SL), and material extrusion (ME)—applied to propulsion, satellite structures, and thermal devices ...
Stelios K. Georgantzinos, Eleni Papadopoulou, Grigorios Kostopoulos, Stefanos Voulgaris, Alexandra Tseni, Panteleimon Bakalis, Maria Gkara, Chara C. Mitropoulou, Nikos D. Lagaros   +8 more
wiley   +1 more source

Review of Generative Reinforcement Learning Based on Sequence Modeling [PDF]

Jisuanji kexue
Reinforcement learning is a branch of machine learning on how to learn decisions,which is a sequential decision-making problem that involves repeatedly interacting with the environment to find the optimal strategy through trial and error.Reinforcement ...
YAO Tianlei, CHEN Xiliang, YU Peiyi
doaj   +1 more source

Bioinspired Materials, Designs, and Manufacturing Strategies for Advanced Impact‐Resistant Helmets

Advanced Engineering Materials, EarlyView.
This review explores how bioinspired materials, structures, and manufacturing strategies transform helmet design to achieve enhanced impact resistance. Drawing inspiration from nacre, porcupine quills, beetle exoskeletons, and skull architectures, it highlights advances in auxetic lattices, nanocomposites, and functionally graded foams.
Joseph Schlager, Yi Jin, Mohammad Faruk, Jay Alberts, C. Chase Cao   +4 more
wiley   +1 more source

Advancing Electronic Application of Coordination Solids: Enhancing Electron Transport and Device Integration via Surface‐Mounted MOFs (SURMOFs)

Advanced Functional Materials, EarlyView.
The layer‐by‐layer (LbL) assembly of coordination solids, enabled by the surface‐mounted metal‐organic framework (SURMOF) platform, is on the cusp of generating the organic counterpart of the epitaxy of inorganics. The programmable and sequential SURMOF protocol, optimized by machine learning (ML), is suited for accessing high‐quality thin films of ...
Zhengtao Xu, Christof Wöll, Stefan Bräse   +2 more
wiley   +1 more source

3D (Bio) Printing Combined Fiber Fabrication Methods for Tissue Engineering Applications: Possibilities and Limitations

Advanced Functional Materials, EarlyView.
Biofabrication aims at providing innovative technologies and tools for the fabrication of tissue‐like constructs for tissue engineering and regenerative medicine applications. By integrating multiple biofabrication technologies, such as 3D (bio) printing with fiber fabrication methods, it would be more realistic to reconstruct native tissue's ...
Waseem Kitana, Indra Apsite, Leonid Ionov   +2 more
wiley   +1 more source

Reinforcement learning-based energy management for hybrid electric vehicles: A comprehensive up-to-date review on methods, challenges, and research gaps

Energy and AI
Reinforcement learning is widely used for control applications and has also been successfully implemented for efficient energy management within hybrid electric vehicles.
Mohamed Nadir Boukoberine, Muhammad Fahad Zia, Tarek Berghout, Mohamed Benbouzid   +3 more
doaj   +1 more source

Munchausen Reinforcement Learning

, 2020
NeurIPS 2020.
Vieillard, Nino, Pietquin, Olivier, Geist, Matthieu   +2 more
openaire   +3 more sources

Ultraviolet–Visible Spin‐Resolved Chip‐Scale Spectroscopy

Advanced Functional Materials, EarlyView.
By harnessing phase, wavelength, and spin multiplexing, the proposed meta‐spectrometer enables spin‐resolved spectral analysis within a compact footprint. The presented dual‐band (320–450 nm) spin‐resolved meta‐spectrometer features enhance optical functionality, allowing for the simultaneous discrimination of spectral content and spin states of light ...
Nasir Mahmood, Yujin Park, Naureen Butt, Joohoon Kim, Dongliang Gao, Muhammad Zubair, Tauseef Tauqeer, Lei Gao, Muhammad Qasim Mehmood, Junsuk Rho   +9 more
wiley   +1 more source

Superposition-Inspired Reinforcement Learning and Quantum Reinforcement Learning [PDF]

, 2008
According to the existing problems in RL area, such as low learning speed and tradeoff between exploration and exploitation, SIRL and QRL methods are introduced based on the theory of RL and quantum computation in this chapter, which follows the developing roadmap from the superposition-inspired methods to the RL methods in quantum systems.
Dao-Yi Dong, Chun-Lin Chen
openaire   +3 more sources

Printing Nacre‐Mimetic MXene‐Based E‐Textile Devices for Sensing and Breathing‐Pattern Recognition Using Machine Learning

Advanced Functional Materials, EarlyView.
This study presents a Ti3C2Tx MXene/WPU nacre‐mimetic nanomaterial as a printable ink for direct‐write printing onto textiles‐based sensors. The resulting wearable device demonstrates high sensitivity, biocompatibility, and mechanical strength. Furthermore, NFC‐enabled humidity sensor produces time‐series data, which informs a machine learning ...
Lulu Xu, Wenqing Chen, Qian Li, Rohit Gupta, Biswajoy Bagchi, Laurence B. Lovat, Manish K. Tiwari   +6 more
wiley   +1 more source