Results 141 to 150 of about 57,740 (314)
AI‐Assisted Design and Evaluation of SLM‐Ti64 Implants for Enhanced Bone Regeneration
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
Progressive Insights into 3D Bioprinting for Corneal Tissue Restoration
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
A Survey of Deep Network Solutions for Learning Control in Robotics: From Reinforcement to Imitation
Lei Tai +4 more
openalex +2 more sources
Advancing from MOFs and COFs to Functional Macroscopic Porous Constructs
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
Guillaume Lample, Devendra Singh Chaplot
openalex +2 more sources
Deep reinforcement learning-based vehicle energy efficiency autonomous learning system [PDF]
Xuewei Qi +4 more
openalex +1 more source
Computational Modeling of Reticular Materials: The Past, the Present, and the Future
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
Hierarchically MOF‐Based Porous Monolith Composites for Atmospheric Water Harvesting
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

