Results 191 to 200 of about 1,851,663 (252)
A biomimetic force‐electric nanotentacle‐enabled tantalum (Ta) implant with surface‐nanostructured LiTaO3 (n‐LiTaO3) was first developed via laser nanofabrication combined with Li+‐induced in situ reaction, enabling the transduction of ultrasound into bioelectrical cues.
Taixing Zhang +15 more
wiley +1 more source
A general multi-scale description of metastable adaptive motion across fitness valleys. [PDF]
Esser M, Kraut A.
europepmc +1 more source
[A&T]MLN is a triple‐modal nanoplatform with siRNA‐loaded LN coated with hybrid ACE2/macrophage membrane. It blocks viral entry, neutralizes IL‐6/IL‐1β/TNF‐α, and delivers siRNA to suppress viral replication. In a murine lung injury model, it attenuates inflammation, offering a multi‐pronged strategy against SARS‐CoV‐2 variants and hyperinflammation ...
Hui Li +19 more
wiley +1 more source
The Origins and Evolution of the RNA Virome in Land Flora. [PDF]
Liu Q +4 more
europepmc +1 more source
A compact QASRR‐based THz metamaterial absorber enables polarization‐insensitive dual‐band absorption and skin‐cancer‐related refractive‐index sensing through measurable resonance shifts. Field, surface‐current, and circuit analyses clarify the dual‐resonance mechanism, while StackNet‐assisted prediction accurately estimates the simulated absorption ...
Md. Murad Kabir Nipun +5 more
wiley +1 more source
Flowtigs: Safety in flow decompositions for assembly graphs. [PDF]
Sena F +5 more
europepmc +1 more source
Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories
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
The <i>Drosophila</i> tracheal terminal cell as a model for branching morphogenesis. [PDF]
Gavrilchenko T +6 more
europepmc +1 more source
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
Consensus in the weighted voter model with noise-free and noisy observations. [PDF]
Ganesh A, Hauert S, Valla E.
europepmc +1 more source

