Results 161 to 170 of about 88,920 (217)

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

Accuracy of artificial intelligence in orthodontic extraction treatment planning: a systematic review and meta analysis. [PDF]

open access: yesBMC Oral Health
Ziaei S   +10 more
europepmc   +1 more source

Rational Design of Metal–Organic Frameworks for Pancreatic Cancer Therapy: from Machine Learning Screening to In Vivo Efficacy

open access: yesAdvanced Materials, EarlyView.
This work explores the MOF landscape to select a single, optimal candidate for successfully delivering cancer drugs (gemcitabine, paclitaxel, SN‐38) into tough pancreatic tumors. Machine learning and simulations guide this search, demonstrating colloidal stability, excellent biocompatibility, cellular uptake, and sustained release.
Francesca Melle   +9 more
wiley   +1 more source

Artificial intelligence in revolutionizing orthodontic practice. [PDF]

open access: yesWorld J Methodol
Fawaz P, El Sayegh P, Vande Vannet B.
europepmc   +1 more source

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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