Pentamode Structures Optimized by Machine Learning with Adaptive Sampling

Article Properties
  • Language
    English
  • Publication Date
    2024/04/17
  • Indian UGC (journal)
  • Refrences
    36
  • Stefan Bronder Protective Systems Helmut‐Schmidt‐University/University of the Federal Armed Forces Holstenhofweg 85 22043 Hamburg Germany
  • Anne Jung Protective Systems Helmut‐Schmidt‐University/University of the Federal Armed Forces Holstenhofweg 85 22043 Hamburg Germany ORCID (unauthenticated)
Abstract
Cite
Bronder, Stefan, and Anne Jung. “Pentamode Structures Optimized by Machine Learning With Adaptive Sampling”. Advanced Engineering Materials, 2024, https://doi.org/10.1002/adem.202302073.
Bronder, S., & Jung, A. (2024). Pentamode Structures Optimized by Machine Learning with Adaptive Sampling. Advanced Engineering Materials. https://doi.org/10.1002/adem.202302073
Bronder, Stefan, and Anne Jung. “Pentamode Structures Optimized by Machine Learning With Adaptive Sampling”. Advanced Engineering Materials, 2024. https://doi.org/10.1002/adem.202302073.
Bronder S, Jung A. Pentamode Structures Optimized by Machine Learning with Adaptive Sampling. Advanced Engineering Materials. 2024;.
Refrences
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Massive and fast fabrication of pentamode devices through a multiphase honeycomb-corrugation configuration Materials & Design
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Materials of engineering and construction. Mechanics of materials
  • Science: Chemistry
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Materials of engineering and construction. Mechanics of materials
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Materials of engineering and construction. Mechanics of materials
4 2023
Broadband Waterborne Multiphase Pentamode Metastructure with Simultaneous Wavefront Manipulation and Energy Absorption Capabilities

Materials
  • Science: Chemistry: Physical and theoretical chemistry
  • Science: Chemistry
  • Technology: Mining engineering. Metallurgy
  • Science: Physics
  • Science: Physics
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Materials of engineering and construction. Mechanics of materials
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Materials of engineering and construction. Mechanics of materials
1 2023
Experimental validation of a broadband pentamode elliptical-shaped cloak for underwater acoustics Extreme Mechanics Letters
  • Science: Chemistry
  • Technology: Engineering (General). Civil engineering (General): Mechanics of engineering. Applied mechanics
  • Technology: Mechanical engineering and machinery
  • Technology: Engineering (General). Civil engineering (General)
12 2021
A Hybrid Approach Employing Neural Networks to Simulate the Elasto−Plastic Deformation Behavior of 3D‐Foam Structures

Advanced Engineering Materials
  • Science: Chemistry
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Materials of engineering and construction. Mechanics of materials
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Materials of engineering and construction. Mechanics of materials
9 2021
A deep learning approach for complex microstructure inference

Nature Communications
  • Science
  • Science: Science (General)
36 2021