Results 141 to 150 of about 4,469,999 (359)

Stochastically Generated Digital Twins of 3D Solid‐State Electrolyte Architecture

open access: yesAdvanced Functional Materials, EarlyView.
Digital Twins of random porous tape‐cast solid‐state battery architectures across µm to mm feature sizes from FIB‐SEM to X‐Ray µCT, respectively. Abstract Solid‐state lithium batteries (SSBs) have the potential to overcome conventional Li‐ion batteries in performance and safety.
Jonathan O'Neill   +3 more
wiley   +1 more source

Turbulent Pressure Heats Gas and Suppresses Star Formation in Galactic Bar Molecular Clouds

open access: yesThe Astrophysical Journal
The Central Molecular Zone (CMZ) of the Milky Way is fed by gas inflows from the Galactic disk along almost radial trajectories aligned with the major axis of the Galactic bar.
Andy Nilipour   +8 more
doaj   +1 more source

Design and Applications of Multi‐Frequency Programmable Metamaterials for Adaptive Stealth

open access: yesAdvanced Functional Materials, EarlyView.
This article provides a comprehensive overview of metamaterials, including their fundamental principles, properties, synthesis techniques, and applications in stealth, as well as their challenges and future prospects. It covers topics that are more advanced than those typically discussed in existing review articles, while still being closely connected ...
Jonathan Tersur Orasugh   +4 more
wiley   +1 more source

Functional Materials for Environmental Energy Harvesting in Smart Agriculture via Triboelectric Nanogenerators

open access: yesAdvanced Functional Materials, EarlyView.
This review explores functional and responsive materials for triboelectric nanogenerators (TENGs) in sustainable smart agriculture. It examines how particulate contamination and dirt affect charge transfer and efficiency. Environmental challenges and strategies to enhance durability and responsiveness are outlined, including active functional layers ...
Rafael R. A. Silva   +9 more
wiley   +1 more source

A Comprehensive All-sky Catalog of 3345 Molecular Clouds from Three-dimensional Dust Extinction

open access: yesThe Astrophysical Journal Supplement Series
Understanding the distribution and properties of molecular clouds is crucial for tracing the structure and evolution of the interstellar medium (ISM) and the large-scale morphology of the Milky Way.
Tao Wang   +6 more
doaj   +1 more source

Hierarchical structure of the interstellar molecular clouds and star formation

open access: yesOpen Astronomy, 2017
Properties of the hierarchical structures of interstellar molecular clouds are discussed. Particular attention is paid to the statistical correlations between velocity dispersion and size, and between the magnetic field strength and gas density.
Dudorov Alexander E.   +1 more
doaj   +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

Reviewing Molecular Clouds

open access: yes, 2017
The star formation process involves a wide range of spatial scales, densities and temperatures. Herschel observations of the cold and low density molecular gas extending tens of parsecs, that constitutes the bulk of the molecular clouds of the Milky Way, have shown a network of dense structures in the shape of filaments.
openaire   +2 more sources

Electron Compensation Enhanced Triboelectric Sensor Assisted by Machine Learning for Tactile Perception Recognition

open access: yesAdvanced Functional Materials, EarlyView.
Integrating polyethyleneimine and carbon black into polyurethane enhances electron transport and mechanical durability. The resulting sensor achieves significantly improved electrical signal and sensitivity, enabling efficient machine learning‐based tactile signal recognition in bionic applications.
Xiangkun Bo   +4 more
wiley   +1 more source

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