Results 241 to 250 of about 1,041,702 (351)

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

SegGen: An Unreal Engine 5 Pipeline for Generating Multimodal Semantic Segmentation Datasets. [PDF]

Sensors (Basel)
McMillen J, Yilmaz Y.
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

ZenGuard a machine learning based zero trust framework for context aware threat mitigation using SIEM SOAR and UEBA. [PDF]

Sci Rep
Hassan A, Rauf A, Shafqat N, Latif R, Khan H.   +4 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

Denoising and Simplification of 3D Scan Data of Damaged Aero-Engine Blades for Accurate and Efficient Rigid and Non-Rigid Registration. [PDF]

Sensors (Basel)
Ghorbani H, Khameneifar F.
europepmc   +1 more source

Retrospective Review on Reticular Materials: Facts and Figures Over the Last 30 Years

Advanced Materials, EarlyView.
To shape the future course of research in reticular materials, this work reflects on the progress over the past 30 years, complemented by input from the community of 228 active researchers through a global, crowdsourced survey: ranging from demographics, how it works, publish and interact, to highlights on both academic and industrial milestones, as ...
Aamod V. Desai, Stefano Canossa, Ekaterina A. Chernova, Simon M. Vornholt, Konstantin Stracke, Jack D. Evans, E. Eja Petersen, Stefan Wuttke, Romy Ettlinger   +8 more
wiley   +1 more source

Comparison of a Novel Machine Learning-Based Clinical Query Platform With Traditional Guideline Searches for Hospital Emergencies: Prospective Pilot Study of User Experience and Time Efficiency.

JMIR Hum Factors
Ejaz H, Tsui HLK, Patel M, Ulloa Paredes LR, Knights E, Aftab SB, Subbe CP.   +6 more
europepmc   +1 more source

Fatigue safety factor of a transonic centrifugal compressor impeller subject to blade thickness. [PDF]

Sci Rep
Kabalyk K, Bednarz A, Kantyka K.
europepmc   +1 more source

Operational Google-Earth-Engine Workflow to Monitor Irrigated Areas in a Semi-Arid Climate

Kilian Vos, Sikdar M. M. Rasel, Azeem Khan, Yi Lü, Mustak Shaikh, Vaibhav Gupta, Michelle Newstead   +6 more
openalex   +1 more source