Results 301 to 310 of about 820,423 (413)

Mastering Proton Activities in Aqueous Batteries

open access: yesAdvanced Materials, EarlyView.
Advanced aqueous batteries are promising alternatives for grid energy storage. Understanding and mastering the proton activities in aqueous electrolytes will guide the design of sustainable and long‐lasting aqueous batteries. This Perspective comments on the current understanding of the thermodynamic and kinetic perspectives of proton activities and ...
Leiting Zhang, Chao Zhang, Erik J. Berg
wiley   +1 more source

Renal Cell Carcinoma Discrimination through Attenuated Total Reflection Fourier Transform Infrared Spectroscopy of Dried Human Urine and Machine Learning Techniques. [PDF]

open access: yesInt J Mol Sci
Buhas BA   +9 more
europepmc   +1 more source

Exciton Dynamics in Layered Halide Perovskite Light‐Emitting Diodes

open access: yesAdvanced Materials, EarlyView.
This review discusses the exciton dynamics in layered halide perovskitelight‐emitting diodes (PeLEDs). It opens with a summary of the structural and photophysical aspects, followed by an exploration of controlling dimensionality and cascade exciton transfer in quasi‐2D PeLEDs.
Sung‐Doo Baek   +5 more
wiley   +1 more source

Evaluation of Antimicrobial Resistance Patterns of Pseudomonas aeruginosa Strains Isolated among COVID-19 Patients in Brazil Typed by Fourier-Transform Infrared Spectroscopy. [PDF]

open access: yesLife (Basel)
de Souza PA   +9 more
europepmc   +1 more source

Computational Modeling of Reticular Materials: The Past, the Present, and the Future

open access: yesAdvanced 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   +3 more
wiley   +1 more source

Rational Design of Metal–Organic Frameworks for Pancreatic Cancer Therapy: from Machine Learning Screening to In Vivo Efficacy

open access: yesAdvanced 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   +9 more
wiley   +1 more source

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