Chiral Metasurface for Near-Field Imaging and Far-Field Holography Based on Deep Learning.

Chiral metasurfaces have great influence on the development of holography. Nonetheless, it is still challenging to design chiral metasurface structures on demand. As a machine learning method, deep learning has been applied to design metasurface in recent years.

Efficacy and safety of three species of L. in patients with chronic obstructive pulmonary disease: A systematic review and meta-analysis.

Chronic obstructive pulmonary disease (COPD) is characterized by chronic hypoxia, inflammation, oxidative stress, and irreversible airflow limitations. L is a genus of botanical drugs used in traditional medicine that may influence COPD. A systematic review of the safety and efficacy of L.

Ultra-Broadband Tunable Terahertz Metamaterial Absorber Based on Double-Layer Vanadium Dioxide Square Ring Arrays.

Based on the phase transition of vanadium dioxide(VO), an ultra-broadband tunable terahertz metamaterial absorber is proposed. The absorber consists of bilayer VO square ring arrays with different sizes, which are completely wrapped in Topas and placed on gold substrate. The simulation results show that the absorption greater than 90% has frequencies ranging from 1.

Metamaterial Reverse Multiple Prediction Method Based on Deep Learning.

Metamaterials and their related research have had a profound impact on many fields, including optics, but designing metamaterial structures on demand is still a challenging task. In recent years, deep learning has been widely used to guide the design of metamaterials, and has achieved outstanding performance. In this work, a metamaterial structure reverse multiple prediction method based on semisupervised learning was proposed, named the partially Conditional Generative Adversarial Network (pCGAN).

Additive Manufacturing of Nerve Guidance Conduits for Regeneration of Injured Peripheral Nerves.

As a common and frequent clinical disease, peripheral nerve defect has caused a serious social burden, which is characterized by poor curative effect, long course of treatment and high cost. Nerve autografting is first-line treatment of peripheral nerve injuries (PNIs) but can result in loss of function of the donor site, neuroma formation, and prolonged operative time. Nerve guidance conduit (NGC) serves as the most promising alternative to autologous transplantation, but its production process is complicated and it is difficult to effectively combine growth factors and bioactive substances.

Prediction Network of Metamaterial with Split Ring Resonator Based on Deep Learning.

The introduction of "metamaterials" has had a profound impact on several fields, including electromagnetics. Designing a metamaterial's structure on demand, however, is still an extremely time-consuming process. As an efficient machine learning method, deep learning has been widely used for data classification and regression in recent years and in fact shown good generalization performance.