Results 131 to 140 of about 614,926 (248)

Sustainable Hydrogel‐Forming Microneedle‐Reservoir Patches for Transdermal Delivery of Hydrophilic Macromolecules: Biopolymers, Green Manufacturing and Translation

open access: yesAdvanced Science, EarlyView.
Hydrogel‐forming microneedle (HFMN)‐reservoir patches provide a modular route for controlled transdermal delivery of hydrophilic biomacromolecules. The platform integrates skin‐barrier penetration, sustainable biopolymers, scalable green manufacturing, hydration‐driven transport, model‐cargo validation, and translational quality requirements.
Siddharth Mohanty   +4 more
wiley   +1 more source

Informe

open access: yes, 2020
Órgano Judicial
core  

Coarsening‐Resistant Ag Sinter Composites: Mechanistic Insights From Different Ag–Additive Systems

open access: yesAdvanced Electronic Materials, EarlyView.
An Ag–WC sintered composite exhibiting superior resistance to thermal coarsening. Different particle‐reinforced Ag sinter composites showed markedly different microstructural responses to thermal aging. The comparison revealed that robust Ag–additive interfaces maintain grain‐boundary pinning, whereas insufficient interfacial stability results in the ...
Yang Liu   +4 more
wiley   +1 more source

Affinal parenthood after divorce: a socio-legal study of stepparent visitation rights in Peruvian blended families. [PDF]

open access: yesFront Sociol
Castilla-Cabezudo JL   +4 more
europepmc   +1 more source

Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories

open access: yesAdvanced Energy Materials, EarlyView.
In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen   +4 more
wiley   +1 more source

Machine Learning Interatomic Potentials for Energy Materials: Architectures, Training Strategies, and Applications

open access: yesAdvanced Energy Materials, EarlyView.
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park   +19 more
wiley   +1 more source

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