Results 221 to 230 of about 3,279,729 (412)
Computational Simulations of Metal–Organic Frameworks to Enhance Adsorption Applications
This review highlights the significance of molecular simulations in expanding the understanding of metal–organic frameworks (MOFs) and improving their gas adsorption applications. The historical development and implementation of molecular simulations in the MOF field are given, high‐throughput computational screening studies used to unlock the ...
Hilal Daglar+3 more
wiley +1 more source
Fast charging coordination for electric vehicles in a charging station based on heuristics and metaheuristics. [PDF]
Santos EBP, Castro CA.
europepmc +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
A comprehensive perspective on electric vehicles as evolutionary robots. [PDF]
Che H, Wang S, Yao L, Gu Y.
europepmc +1 more source
Three state-of-the-art individual electric and hybrid vehicle test reports. Volume II
openalex +2 more sources
A novel polyphase multipole square-wave permanent magnet motor drive for electric vehicles [PDF]
C.C. Chan+4 more
openalex +1 more source
Vehicle-to-Grid: Impacts on the electricity market and consumer cost of electric vehicles
Higher battery storage capacity in electric vehicles (EV) can potentially serve two purposes: First, the larger the capacity, the less need for inconvenient recharging during long trips. Second, the larger the capacity, the larger the potential gains from vehicle-to-grid (V2G) electricity supply during peak prices or during periods of imbalance.
Greaker, Mads+2 more
openaire +2 more sources
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
Retraction: AI-assisted design of lightweight and strong 3D-printed wheels for electric vehicles. [PDF]
PLOS One Editors.
europepmc +1 more source