Results 141 to 150 of about 197,676 (281)

Energy Efficiency Strategy for Big Data in Cloud Environment Using Deep Reinforcement Learning [PDF]

open access: hybrid, 2022
Neeraj Kumar Pandey   +5 more
openalex   +1 more source

Sculpting the Future of Bone: The Evolution of Absorbable Materials in Orthopedics

open access: yesAdvanced Materials, EarlyView.
This review summarizes the current status of polymeric, ceramic, and metallic absorbable materials in orthopedic applications, and highlights several innovative strategies designed to enhance mechanical performance, control degradation, and promote bioactivity. We also discuss the progress and translational potential of absorbable materials in treating
Zhao Wang   +13 more
wiley   +1 more source

Review of Thin Lithium Metal Battery Anode Fabrication – Microstructure – Electrochemistry Relations

open access: yesAdvanced Materials, EarlyView.
Thin, lightweight lithium‐metal anodes are pivotal for practical high‐energy batteries. This review surveys processing routes that convert diverse Li precursors, e.g., ingots, melts, solutions, and vapor, into Li‐rich foils with controlled thickness, areal density, and tailored functionality.
Yuhang Hu   +6 more
wiley   +1 more source

Estimating the motor exploration in reinforcement learning. [PDF]

open access: yesiScience
Zai AT   +4 more
europepmc   +1 more source

Magnetic Domain Texture in Fe3O4 Thin Films on SiO2 Nanospheres

open access: yesAdvanced Materials, EarlyView.
Fe3O4 thin films grown on ordered SiO2 nanospheres form curved nanocaps with 3D geometry, inducing magnetic domain texture. X‐ray spectromicroscopy (XMCD‐PEEM), cross‐sectional electron microscopy (STEM), and polarized grazing‐incidence small‐angle neutron scattering (GISANS) reveal how topography modulates magnetization.
Mai Hussein Hamed   +14 more
wiley   +1 more source

Adaptive X-ray imaging with reinforcement learning. [PDF]

open access: yesJ Synchrotron Radiat
Boltz T, Ratner D, Webb SM.
europepmc   +1 more source

Electrochemical Carbon Dioxide Reduction to Methanol on Copper‐Based Catalysts: Mechanistic Insights and Industrial Prospects

open access: yesAdvanced Materials, EarlyView.
This review presents a focused and integrated perspective on copper‐based catalysts for the selective electrochemical reduction of CO2 to methanol. It elucidates active site dynamics, mechanistic pathways, and structure–activity relationships, while connecting fundamental insights with catalyst design, reactor engineering, and techno‐economic ...
Debabrata Bagchi   +7 more
wiley   +1 more source

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