Results 141 to 150 of about 197,676 (281)
Energy Efficiency Strategy for Big Data in Cloud Environment Using Deep Reinforcement Learning [PDF]
Neeraj Kumar Pandey +5 more
openalex +1 more source
Sculpting the Future of Bone: The Evolution of Absorbable Materials in Orthopedics
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
Competitive swarm reinforcement learning improves stability and performance of deep reinforcement learning. [PDF]
Huang X +5 more
europepmc +1 more source
Review of Thin Lithium Metal Battery Anode Fabrication – Microstructure – Electrochemistry Relations
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]
Zai AT +4 more
europepmc +1 more source
Energy Management in Microgrids Using Model-Free Deep Reinforcement Learning Approach
Odia A. Talab, İsa Avcı
openalex +1 more source
Magnetic Domain Texture in Fe3O4 Thin Films on SiO2 Nanospheres
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]
Boltz T, Ratner D, Webb SM.
europepmc +1 more source
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

