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

Partial Fractions01:28

Partial Fractions

189
A partial fraction is a component of a rational expression represented as the sum of simpler fractions. When a rational function is expressed as a ratio of two polynomials, it can often be decomposed into a sum of fractions whose denominators are simpler polynomials, typically linear or irreducible quadratic factors. This process is called partial fraction decomposition, and it is used to simplify complex expressions for integration, solving equations, or analysis.Partial fraction decomposition...
189

You might also read

Related Articles

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

Sort by
Same author

Near real-time full-wave inverse design of electromagnetic devices.

Nature communications·2026
Same author

Suspended, Polarization-Dependent, Subwavelength-Perforated Metal Absorber for Mid-Infrared Bolometry.

Nano letters·2025
Same author

Compact broadband thermal absorbers based on plasmonic fractal metasurfaces.

Optics letters·2025
Same author

Full transmission of vectorial waves through 3D multiple-scattering media.

Optics letters·2024
Same author

Fast Multichannel Inverse Design through Augmented Partial Factorization.

ACS photonics·2024
Same author

GaAs Mid-IR Electrically Tunable Metasurfaces.

Nano letters·2024
Same journal

NMR Spectroscopy: Molecular Insights into Cell Wall Collapse and Oxidative Stress of <i>Escherichia coli</i> Induced by Imidazole-Activated Eutectic Solvents.

ACS omega·2026
Same journal

Enhanced Arsenite Remediation in Synthetic FeS<sub>2</sub>/Fe(II)-Containing Arsenic Wastewater via Epigallocatechin Gallate-Initiated Persulfate Activation.

ACS omega·2026
Same journal

Defect and Particle-Size Engineering as Mechanistic Drivers for Dye Uptake in a Zirconium Metal-Organic Framework.

ACS omega·2026
Same journal

Biogeochemical Assessment of Short-Term Hydrogen Storage in Methane Reservoirs with Field Sample Characterization and Reactor Experiments.

ACS omega·2026
Same journal

Combined Effects of Halloysite Nanotubes, Nucleating Agent, and Thermal Annealing on the Printability and Mechanical Performances of 3D-Printable Polypropylene Random Copolymer-Based Composites.

ACS omega·2026
Same journal

Effect of MoS<sub>2</sub> Interfacial Engineering across MAPbI<sub>3</sub>, FAPbI<sub>3</sub>, and CsPbI<sub>3</sub> Perovskite Solar Cells.

ACS omega·2026
See all related articles

Related Experiment Video

Updated: Jan 16, 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

Efficient Full Characterization of Centimeter-Scale Metasurfaces by Accurate Segmentation Using Augmented Partial

Mahsa Torfeh1, Ho-Chun Lin1, Michelle L Povinelli1,2

  • 1Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, California 90089, United States.

ACS Omega
|September 29, 2025
PubMed
Summary
This summary is machine-generated.

This study introduces a new method for characterizing large metasurfaces by dividing them into smaller segments. This approach significantly reduces computational cost and memory usage while maintaining high accuracy for optical device modeling.

More Related Videos

Simulation, Fabrication and Characterization of THz Metamaterial Absorbers
13:44

Simulation, Fabrication and Characterization of THz Metamaterial Absorbers

Published on: December 27, 2012

15.9K
From Voxels to Knowledge: A Practical Guide to the Segmentation of Complex Electron Microscopy 3D-Data
12:08

From Voxels to Knowledge: A Practical Guide to the Segmentation of Complex Electron Microscopy 3D-Data

Published on: August 13, 2014

25.0K

Related Experiment Videos

Last Updated: Jan 16, 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
Simulation, Fabrication and Characterization of THz Metamaterial Absorbers
13:44

Simulation, Fabrication and Characterization of THz Metamaterial Absorbers

Published on: December 27, 2012

15.9K
From Voxels to Knowledge: A Practical Guide to the Segmentation of Complex Electron Microscopy 3D-Data
12:08

From Voxels to Knowledge: A Practical Guide to the Segmentation of Complex Electron Microscopy 3D-Data

Published on: August 13, 2014

25.0K

Area of Science:

  • Optics and Photonics
  • Computational Electromagnetics
  • Materials Science

Background:

  • Metasurfaces offer advanced light control in a compact form factor, surpassing traditional optics.
  • Full characterization of large-area metasurfaces is computationally intensive, limiting practical applications.
  • Existing methods struggle with scalability or accuracy, especially for complex or large structures.

Purpose of the Study:

  • To develop a computationally efficient and accurate method for characterizing large-area metasurfaces.
  • To overcome the memory and time limitations of conventional metasurface modeling techniques.
  • To enable the practical simulation and design of large-scale metasurface devices.

Main Methods:

  • A novel segmentation and stitching approach for metasurface characterization.
  • Independent characterization of smaller metasurface segments.
  • Integration of segment results to achieve full-structure optical response.

Main Results:

  • Reduced computational costs and memory requirements for metasurface modeling.
  • Achieved high accuracy (less than 1% error) across all incident angles.
  • Successfully characterized large 2D metasurfaces (up to 1 cm) in under 21 minutes.

Conclusions:

  • The proposed segmentation method offers a practical solution for large-scale metasurface characterization.
  • This technique significantly enhances the feasibility of designing and implementing advanced optical devices.
  • Enables efficient simulation of complex metasurfaces, paving the way for next-generation optical technologies.