Results 261 to 270 of about 3,002,307 (310)

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

Machine learning based on a generative adversarial tri-model. [PDF]

Sci Rep
Wang S, Xi N, Zhou Z.
europepmc   +1 more source

Learning Parallel Computing Concepts via a Turing Machine Simulator

, 2001
Mônica Xavier Py, Laira Vieira Toscani, Luís C. Lamb, Tiarajú Asmuz Diverio   +3 more
openalex   +2 more sources

Hierarchically MOF‐Based Porous Monolith Composites for Atmospheric Water Harvesting

Advanced 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, Tianyu Guo, Seyyed Alireza Hashemi, Ahmadreza Ghaffarkhah, Stefan Wuttke, Mohammad Arjmand, Orlando J. Rojas, Feng Jiang   +7 more
wiley   +1 more source

Predictions of Steady-State Photo-CIDNP Enhancement by Machine Learning. [PDF]

J Am Chem Soc
Stefańska M, Müntener T, Hiller S.
europepmc   +1 more source

Advancing Metal–Organic Framework‐Based Composites for Effective Chemical Warfare Agent Detoxification under Real‐World Conditions

Advanced Materials, EarlyView.
This review describes recent developments in the design and synthesis of metal–organic frameworks (MOF)/textile composites for the detoxification of chemical warfare agent and simulants with extensive discussion on the advantages and disadvantages of different methods.
Zhihua Cheng, Kira M. Fahy, Gregory W. Peterson, Kent O. Kirlikovali, Omar K. Farha   +4 more
wiley   +1 more source

Machine Learning Classification of Smoking Behaviours-From Social Environment to the Prefrontal Cortex. [PDF]

Addict Biol
Reinhardt P, Zacharias N, Fislage M, Böhmer J, Hollunder B, Reppmann Z, Wiehe A, Rajwich R, Dominick N, Ritter K, Bajbouj M, Wienker T, Gallinat J, Thürauf N, Kornhuber J, Kiefer F, Wagner M, Tüscher O, Walter H, Winterer G.   +19 more
europepmc   +1 more source

Symmetry is the Key to the Design of Reticular Frameworks

Advanced Materials, EarlyView.
Computational prediction of the molecular structure of porous materials, particularly reticular framework materials such as MOFs and COFs, remains a significant challenge. Considering the symmetry of the building blocks that form the desired material, and a similarity score with existing experimentally characterized structures, helps identify promising
Andrea Darù, John S. Anderson, Davide M. Proserpio, Laura Gagliardi   +3 more
wiley   +1 more source

Predicting Fetal Growth with Curve Fitting and Machine Learning. [PDF]

Bioengineering (Basel)
Zhang H, Hung CS, Lin CR, Yu HR, Zheng YC, Yu CH, Tsai CM, Huang TH.   +7 more
europepmc   +1 more source