Results 211 to 220 of about 825,638 (283)
CsPbBr₃ colloidal nanocrystals synthesized via hot‐injection (HI) and microwave‐assisted (MW) methods exhibit excellent optoelectronic properties for LEDs. Although the MW route is more energy‐efficient and eco‐friendly in the lab, industrially, its environmental impacts are similar, but with lower costs.
Jaume‐Adrià Alberola‐Borràs+6 more
wiley +1 more source
Procyclicality of Capital Requirements in a General Equilibrium Model of Liquidity Dependence
Francisco Covas, Shigeru Fujita
openalex +1 more source
Capital Requirements Directive IV and Basel 3 - Benefits, New Rules and Their Impact [PDF]
Tomáš Šťastný, Tomáš Čech
openalex +1 more source
Aqueous Synthesis of UiO‐66 Metal‐Organic Frameworks With Enhanced Crystallinity and Surface Area
In this work, highly crystalline UiO‐66 is synthesized in water at 65 °C, achieving a high surface area of 741 m2 g−1, by modulating the pH of the reaction, promoting optimal coordination between metal clusters and organic linkers. Avoiding toxic and expensive solvents enables future scaling of UiO‐66 production. Abstract Metal‐organic frameworks (MOFs)
Nandish Hosadoddi Srikantamurthy+4 more
wiley +1 more source
On the Optimality of Bank Capital Requirement Policy in a Macroeconomic Framework [PDF]
Mario Catalán, Eduardo J.J. Ganapolsky
openalex +1 more source
The graphical abstract illustrates the combined effect of PTT and PDT using metal‐organic frameworks (MOFs) in a cancer treatment model. Tumor‐bearing mice are irradiated with different laser lights, which activate the MOF nanoparticles within cancer cells. The MOFs produce reactive oxygen species through PDT, while PTT elevates the temperature to kill
Kayalvizhi Samuvel Muthiah+5 more
wiley +1 more source
Cyclical Effects Of Bank Capital Requirements With Imperfect Credit Markets
Pierre‐Richard Agénor+1 more
openalex +2 more sources
Capital Requirements, Risk Shifting and the Mortgage Market [PDF]
Arzu Uluc, Tomasz Wieladek
openalex +1 more source
Leveraging Transfer Learning to Overcome Data Limitations in Czochralski Crystal Growth
A data‐driven framework combining Computational Fluid Dynamics (CFD) simulations and machine learning is proposed to model and optimize Czochralski crystal growth. Using different transfer learning strategies (Warm Start, Merged Training, and Hyperparameter Transfer) the study demonstrates improved predictions for Ge and GaAs growth from Si‐trained ...
Milena Petkovic+3 more
wiley +1 more source
Can Banks Circumvent Minimum Capital Requirements? The Case of Mortgage Portfolios under Basel II
Christopher Henderson, Julapa Jagtiani
openalex +1 more source