Results 211 to 220 of about 825,638 (283)

Environmental Impacts and Cost Analysis of Perovskite Nanocrystals for Light‐Emitting Diode Applications

open access: yesAdvanced Sustainable Systems, EarlyView.
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

Aqueous Synthesis of UiO‐66 Metal‐Organic Frameworks With Enhanced Crystallinity and Surface Area

open access: yesAdvanced Sustainable Systems, EarlyView.
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

Copper and Iron‐Based Metal‐Organic Frameworks for Synergistic Cancer Phototherapies: Recent Advances, Challenges, and Future Prospects

open access: yesAdvanced Therapeutics, EarlyView.
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

Leveraging Transfer Learning to Overcome Data Limitations in Czochralski Crystal Growth

open access: yesAdvanced Theory and Simulations, EarlyView.
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

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