Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Light Acquisition

Light Acquisition

In order to produce glucose, plants need to capture sufficient light energy. Many modern plants have evolved leaves specialized for light acquisition. Leaves can be only millimeters in width or tens of meters wide, depending on the environment. Due to competition for sunlight, evolution has driven the evolution of increasingly larger leaves and taller plants, to avoid shading by their neighbors with contaminant elaboration of root architecture and mechanisms to transport water and nutrients.

P-N junction

P-N junction

A p-n junction is formed when p-type and n-type semiconductor materials are joined together. At the interface of the p-n junction, holes from the p-side and electrons from the n-side begin to diffuse into the opposite sides due to the concentration gradient. This diffusion of carriers leads to a region around the junction where there are no free charge carriers, known as the depletion region. The charge density within the depletion region for the n-side and p-side can be described by the...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Improved CenterNet-Based Multimodal Object Detection for Low-Light and Complex Environments.

Sensors (Basel, Switzerland)·2026

Same author

Noble metal-decorated MXene for broadband and high-efficiency photothermal conversion.

Journal of colloid and interface science·2026

Same author

EasyVis2: a real-time multi-view 3D visualization system for laparoscopic surgery training enhanced by a deep neural network YOLOv8-pose.

Updates in surgery·2026

Same author

Observation of chiral bound states in the continuum in self-biased magneto-optical photonic crystals.

Proceedings of the National Academy of Sciences of the United States of America·2026

Same author

Infrared Near-Field Microscopy as a Platform for Nanoscale Biomedical Spectroscopy and Imaging.

ACS applied materials & interfaces·2026

Same author

Precise Tailoring 3D Printed In Situ Toughening Low-k Microwave Transparent Structure via Thiol-acrylate Chain Transfer Behavior.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026

Same journal

Recent Progress in on-Demand Transfer-Enabled Integration of Wavelength-Scale Light Sources.

Nanophotonics (Berlin, Germany)·2026

Same journal

Tunable skyrmion bag textures in surface phonon polariton lattices.

Nanophotonics (Berlin, Germany)·2026

Same journal

All-Optical Diffractive Operators for Rapid, Computer-Free Morphological Transformations.

Nanophotonics (Berlin, Germany)·2026

Same journal

Tunable Skyrmion, Meron, and Skyrmion Bag Textures in Surface Phonon Polariton Lattices.

Nanophotonics (Berlin, Germany)·2026

Same journal

Deep-Subwavelength Slot-Enhanced Broadband Dynamic Camouflage Metasurface Across the S, C, X, and Ku Bands.

Nanophotonics (Berlin, Germany)·2026

Same journal

Machine Learning-Driven Cooling Window Design Beyond Hyperbolic Metamaterials.

Nanophotonics (Berlin, Germany)·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Jun 5, 2025

Experimental System of Solar Adsorption Refrigeration with Concentrated Collector

Experimental System of Solar Adsorption Refrigeration with Concentrated Collector

Published on: October 18, 2017

Deep learning empowering design for selective solar absorber.

Wenzhuang Ma¹, Wei Chen², Degui Li³

¹National Engineering Research Center of Electromagnetic Radiation Control Materials, Key Laboratory of Multi-spectral Absorbing Materials and Structures of Ministry of Education, University of Electronic Science and Technology of China, Chengdu, 611731, China.

Nanophotonics (Berlin, Germany)

|December 5, 2024

Summary

This summary is machine-generated.

Researchers developed a novel selective absorber using deep learning and annealing algorithms. This high-performance solar absorber maximizes solar energy capture while minimizing heat loss, paving the way for efficient solar-thermal energy harvesting.

Keywords:

deep-learning metasurface solar absorber

More Related Videos

Indoor Experimental Assessment of the Efficiency and Irradiance Spot of the Achromatic Doublet on Glass ADG Fresnel Lens for Concentrating Photovoltaics

Indoor Experimental Assessment of the Efficiency and Irradiance Spot of the Achromatic Doublet on Glass ADG Fresnel Lens for Concentrating Photovoltaics

Published on: October 27, 2017

Close-Space Sublimation-Deposited Ultra-Thin CdSeTe/CdTe Solar Cells for Enhanced Short-Circuit Current Density and Photoluminescence

Close-Space Sublimation-Deposited Ultra-Thin CdSeTe/CdTe Solar Cells for Enhanced Short-Circuit Current Density and Photoluminescence

Published on: March 6, 2020

Related Experiment Videos

Last Updated: Jun 5, 2025

Experimental System of Solar Adsorption Refrigeration with Concentrated Collector

Experimental System of Solar Adsorption Refrigeration with Concentrated Collector

Published on: October 18, 2017

Indoor Experimental Assessment of the Efficiency and Irradiance Spot of the Achromatic Doublet on Glass ADG Fresnel Lens for Concentrating Photovoltaics

Indoor Experimental Assessment of the Efficiency and Irradiance Spot of the Achromatic Doublet on Glass ADG Fresnel Lens for Concentrating Photovoltaics

Published on: October 27, 2017

Close-Space Sublimation-Deposited Ultra-Thin CdSeTe/CdTe Solar Cells for Enhanced Short-Circuit Current Density and Photoluminescence

Close-Space Sublimation-Deposited Ultra-Thin CdSeTe/CdTe Solar Cells for Enhanced Short-Circuit Current Density and Photoluminescence

Published on: March 6, 2020

Area of Science:

Materials Science
Nanotechnology
Renewable Energy

Background:

Selective broadband absorbers are vital for solar energy applications.
Designing absorbers for both solar spectrum absorption and minimal infrared radiation is challenging.
Current designs lack rapid and precise optimization across the solar and infrared regions.

Purpose of the Study:

To develop a high-performance design paradigm for selective absorbers.
To optimize multilayer nanostructures for enhanced solar absorption and reduced infrared emission.
To demonstrate the practical application and energy-saving potential of the designed absorber.

Main Methods:

Combined deep learning with multi-objective double annealing algorithms.
Optimized multilayer nanostructures for specific optical properties.
Experimentally fabricated and characterized the designed nanostructure absorber.

Main Results:

Achieved exceptional solar spectrum absorption (calculated/measured = 0.98/0.94).
Demonstrated low average infrared emissivity (calculated/measured = 0.08/0.19).
Potential for significant annual energy savings (up to 1743 kWh/m²/year).

Conclusions:

The study presents a powerful design method for solar-thermal energy harvesting.
The developed absorber shows high efficiency in converting solar radiation to heat.
This approach facilitates broader applications in solar energy and other engineering fields.