Results 171 to 180 of about 348,753 (249)

High-throughput X-ray total scattering measurement system at BL04B2 of SPring-8. [PDF]

open access: yesJ Synchrotron Radiat
Yamada H   +19 more
europepmc   +1 more source

Cool Kitchen: Processing Starch and Eggshell Powder into Sustainable Coatings for Passive Daytime Cooling

open access: yesAdvanced Functional Materials, EarlyView.
A food‐grade cooling composite made from starch and recycled eggshell powder offers a scalable, ultra‐low‐cost solution for passive daytime radiative cooling. Easily prepared using basic kitchen tools, this material empowers communities, even in areas with limited infrastructure, to stay cooler during worsening summer heat waves.
Qimeng Song   +3 more
wiley   +1 more source

<i>pygid</i>: a Python package for fast data reduction in grazing-incidence diffraction. [PDF]

open access: yesJ Appl Crystallogr
Abukaev A   +8 more
europepmc   +1 more source

MOFs and COFs in Electronics: Bridging the Gap between Intrinsic Properties and Measured Performance

open access: yesAdvanced Functional Materials, EarlyView.
Metal‐organic frameworks (MOFs) and covalent organic frameworks (COFs) hold promise for advanced electronics. However, discrepancies in reported electrical conductivities highlight the importance of measurement methodologies. This review explores intrinsic charge transport mechanisms and extrinsic factors influencing performance, and critically ...
Jonas F. Pöhls, R. Thomas Weitz
wiley   +1 more source

Solution structures in alkali nitrates and nitrites at high concentrations. [PDF]

open access: yesRSC Adv
Mergelsberg ST   +9 more
europepmc   +1 more source

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

open access: yesAdvanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore   +7 more
wiley   +1 more source

Multiband Switchable Microwave Absorbing Metamaterials Based on Reconfigurable Kirigami–Origami

open access: yesAdvanced Functional Materials, EarlyView.
A reconfigurable metamaterial featuring tunable microwave‐absorbing and load‐bearing performance is proposed. Stretchable kirigami and bistable origami configurations are integrated as actuating components, and the synergistic deformation mechanisms are systematically analyzed.
Weimin Ding   +7 more
wiley   +1 more source

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