Results 141 to 150 of about 57,740 (314)

AI‐Assisted Design and Evaluation of SLM‐Ti64 Implants for Enhanced Bone Regeneration

open access: yesAdvanced Healthcare Materials, EarlyView.
AI‐driven simulations of biological healing, combining biomechanical modeling and machine learning, enable personalized orthopedic treatments. By decoding healing patterns influenced by implants and patient‐specific factors, this approach advances fracture repair understanding, optimizes implant design, and supports precision medicine and sustainable ...
Muhammad Usama Zaheer   +3 more
wiley   +1 more source

Deep Reinforcement Learning for Dialogue Generation

open access: green, 2016
Jiwei Li   +5 more
openalex   +2 more sources

Progressive Insights into 3D Bioprinting for Corneal Tissue Restoration

open access: yesAdvanced Healthcare Materials, EarlyView.
This review explores the potential of 3D bioprinting to replicate the complex structure and function of the human cornea. It highlights key advances in bioink development, printing modalities, and in vivo performance, while addressing current challenges and emerging strategies. The review emphasizes bioprinting's promise to overcome donor shortages and
Ilayda Namli   +6 more
wiley   +1 more source

Advancing from MOFs and COFs to Functional Macroscopic Porous Constructs

open access: yesAdvanced Materials, EarlyView.
This review study investigates the recent progress and methodologies for manufacturing metal–organic framework (MOF) or covalent–organic framework (COF)‐based 3D structured macroscopic porous constructs with high structural integrity, providing the possibility to control their porosity across dimensions.
Seyyed Alireza Hashemi   +8 more
wiley   +1 more source

Playing FPS Games with Deep Reinforcement Learning

open access: green, 2016
Guillaume Lample, Devendra Singh Chaplot
openalex   +2 more sources

Deep reinforcement learning-based vehicle energy efficiency autonomous learning system [PDF]

open access: green, 2017
Xuewei Qi   +4 more
openalex   +1 more source

Computational Modeling of Reticular Materials: The Past, the Present, and the Future

open access: yesAdvanced Materials, EarlyView.
Reticular materials are advanced materials with applications in emerging technologies. A thorough understanding of material properties at operating conditions is critical to accelerate the deployment at an industrial scale. Herein, the status of computational modeling of reticular materials is reviewed, supplemented with topical examples highlighting ...
Wim Temmerman   +3 more
wiley   +1 more source

Reset-Free Guided Policy Search: Efficient Deep Reinforcement Learning with Stochastic Initial States

open access: green, 2016
William Montgomery   +4 more
openalex   +2 more sources

Hierarchically MOF‐Based Porous Monolith Composites for Atmospheric Water Harvesting

open access: yesAdvanced Materials, EarlyView.
This review explores the design of hierarchical porous materials for atmospheric water harvesting, focusing on metal‐organic frameworks (MOFs) and porous monoliths. Emphasis is placed on integrating MOF nanoscale porosity with the microscale channels of monolithic scaffolds to enhance sorption‐desorption performance.
Mahyar Panahi‐Sarmad   +7 more
wiley   +1 more source

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