Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Optimal Foraging00:48

Optimal Foraging

13.7K
How animals obtain and eat their food is called foraging behavior. Foraging can include searching for plants and hunting for prey and depends on the species and environment.
13.7K
Optimization Problems01:26

Optimization Problems

55
Optimization problems often involve identifying maximum or minimum values under specific constraints. A well-known example is determining the longest horizontal pipe that can be moved around a right-angled corner, where a 3-meter-wide hallway meets a 2-meter-wide hallway. This scenario, common in architectural design and industrial transport, can be understood conceptually through geometric and trigonometric reasoning.To visualize the problem, consider the pipe as a straight line that touches...
55
Production Efficiency01:01

Production Efficiency

18.2K
Net production efficiency (NPE) is the efficiency at which organisms assimilate energy into biomass for the next trophic level. Due to low metabolic rates and less energy spent on thermoregulatory processes, the NPE of ectotherms (cold-blooded animals) is 10 times higher than endotherms (warm-blooded animals).
18.2K
Trophic Efficiency00:46

Trophic Efficiency

25.1K
Trophic level transfer efficiency (TLTE) is a measure of the total energy transfer from one trophic level to the next. Due to extensive energy loss as metabolic heat, an average of only 10% of the original energy obtained is passed on to the next level. This pattern of energy loss severely limits the possible number of trophic levels in a food chain.
25.1K
Optimal Arousal Theory01:23

Optimal Arousal Theory

806
The optimal arousal theory suggests that performance is maximized when an individual experiences a moderate level of arousal. This theory is closely tied to the Yerkes-Dodson law, which illustrates an inverted U-shaped relationship between arousal and performance. The law, formulated by psychologists Robert Yerkes and John Dodson, implies an ideal arousal level for optimal performance, and deviations from this level can lead to declines in effectiveness.
Inverted U-Shaped Performance Curve
The...
806
Unrealistic Optimism Bias01:30

Unrealistic Optimism Bias

216
Unrealistic optimism bias is the tendency to overestimate the likelihood of positive outcomes. This cognitive bias makes individuals believe they are less likely to experience failures, setbacks, or risks and more likely to succeed than others. For example, people may assume they are less prone to health issues, accidents, or financial struggles than their peers, even when they share similar risk factors.One key component of this bias is the above-average effect, where individuals perceive...
216

You might also read

Related Articles

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

Sort by
Same author

Accurate and scalable deep Maxwell solvers.

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

Spectral element method for optical planar waveguide modal analysis.

Journal of the Optical Society of America. A, Optics, image science, and vision·2026
Same author

Freeform Mode-Engineered Metasurfaces.

Nano letters·2026
Same author

Ultrabroadband Spacetime Nanoscopy of Terahertz Polaritons in a van der Waals Cavity.

Small (Weinheim an der Bergstrasse, Germany)·2026
Same author

3D nanolithography with metalens arrays and spatially adaptive illumination.

Nature·2025
Same author

A multi-agentic framework for real-time, autonomous freeform metasurface design.

Science advances·2025

Related Experiment Video

Updated: Jan 24, 2026

Demonstration of Equal-Intensity Beam Generation by Dielectric Metasurfaces
09:33

Demonstration of Equal-Intensity Beam Generation by Dielectric Metasurfaces

Published on: June 7, 2019

6.6K

High-efficiency, large-area, topology-optimized metasurfaces.

Thaibao Phan1, David Sell2, Evan W Wang1

  • 11Department of Electrical Engineering, Stanford University, Stanford, CA 94305 USA.

Light, Science & Applications
|June 1, 2019
PubMed
Summary
This summary is machine-generated.

Researchers developed a new, efficient method for designing large-area metasurfaces. This technique enables high-efficiency optical devices by optimizing smaller sections and stitching them together, overcoming previous computational limitations.

Keywords:
MetamaterialsMicroresonators

More Related Videos

Determining Membrane Protein Topology Using Fluorescence Protease Protection FPP
08:14

Determining Membrane Protein Topology Using Fluorescence Protease Protection FPP

Published on: April 20, 2015

18.3K
Curtain Flow Column: Optimization of Efficiency and Sensitivity
06:44

Curtain Flow Column: Optimization of Efficiency and Sensitivity

Published on: June 12, 2016

6.9K

Related Experiment Videos

Last Updated: Jan 24, 2026

Demonstration of Equal-Intensity Beam Generation by Dielectric Metasurfaces
09:33

Demonstration of Equal-Intensity Beam Generation by Dielectric Metasurfaces

Published on: June 7, 2019

6.6K
Determining Membrane Protein Topology Using Fluorescence Protease Protection FPP
08:14

Determining Membrane Protein Topology Using Fluorescence Protease Protection FPP

Published on: April 20, 2015

18.3K
Curtain Flow Column: Optimization of Efficiency and Sensitivity
06:44

Curtain Flow Column: Optimization of Efficiency and Sensitivity

Published on: June 12, 2016

6.9K

Area of Science:

  • Optics
  • Materials Science
  • Computational Science

Background:

  • Metasurfaces are ultrathin optical elements offering potential for compact and lightweight optical systems.
  • Maximizing metasurface efficiency is crucial for practical applications.
  • Current topology optimization methods for metasurfaces are computationally intensive, limiting designs to microscale devices.

Purpose of the Study:

  • To introduce a computationally efficient strategy for optimizing large-area metasurfaces.
  • To overcome the limitations of existing topology optimization methods for large-scale metasurface design.

Main Methods:

  • A novel strategy of stitching individually optimized sections to create large-area metasurfaces.
  • Reducing computational complexity from high-polynomial to linear through sectional optimization.
  • Experimental demonstration of large-area, high-numerical-aperture silicon metasurface lenses.

Main Results:

  • Achieved focusing efficiencies exceeding 90% for large-area metasurface lenses.
  • Demonstrated a computationally efficient method for large-area metasurface optimization.
  • Successfully designed and fabricated high-performance silicon metasurface lenses.

Conclusions:

  • The proposed sectional optimization and stitching strategy enables efficient design of large-area metasurfaces.
  • This approach overcomes computational barriers, paving the way for practical implementation of advanced metasurface devices.
  • The methodology can be extended to multifunctional, broadband diffractive optical devices.