Results 271 to 280 of about 1,795,506 (333)

Synthetic Aspects and Characterization Needs in MOF Chemistry – from Discovery to Applications

Advanced Materials, EarlyView.
Overcoming the challenges of phase discovery, synthesis optimization and scale‐up, characterization, and computational studies is essential to accelerate the large‐scale application of MOFs. Life‐cycle analyses and techno‐economic analyses need to be performed to realistically assess their potential for industrial relevance.
Bastian Achenbach, Aysu Yurdusen, Norbert Stock, Guillaume Maurin, Christian Serre   +4 more
wiley   +1 more source

Artificial Intelligence in the Diagnosis and Treatment of Brain Gliomas. [PDF]

Biomedicines
Evangelou K, Kotsantis I, Kalyvas A, Kyriazoglou A, Economopoulou P, Velonakis G, Gavra M, Psyrri A, Boviatsis EJ, Stavrinou LC.   +9 more
europepmc   +1 more source

Advancing from MOFs and COFs to Functional Macroscopic Porous Constructs

Advanced 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, Ahmadreza Ghaffarkhah, Ali Akbar Isari, Mahyar Panahi‐Sarmad, Feng Jiang, Orlando J. Rojas, Stefan Wuttke, Mircea Dincă, Mohammad Arjmand   +8 more
wiley   +1 more source

Role of artificial intelligence in congenital heart disease. [PDF]

World J Clin Pediatr
Niyogi SG, Nag DS, Shah MM, Swain A, Naskar C, Srivastava P, Kant R.   +6 more
europepmc   +1 more source

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

Advanced 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, Ruben Goeminne, Kuber Singh Rawat, Veronique Van Speybroeck   +3 more
wiley   +1 more source

The Rise of Artificial Intelligence in Orthopedics: A Bibliometric and Visualization Analysis. [PDF]

J Multidiscip Healthc
Wu S, Miao Y, Mei J, Xiong S.
europepmc   +1 more source

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

Advanced 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, Dhruv Menon, João Conniot, Jon Ostolaza‐Paraiso, Sergio Mercado, Jhenifer Oliveira, Xu Chen, Bárbara B. Mendes, João Conde, David Fairen‐Jimenez   +9 more
wiley   +1 more source