Výsledky vyhledávání - "Hossein Mofatteh"

Akademický článek

Dragonfly‐Inspired Wing Design Enabled by Machine Learning and Maxwell's Reciprocal Diagrams

Autor: Hao Zheng, Hossein Mofatteh, Marton Hablicsek, Abdolhamid Akbarzadeh, Masoud Akbarzadeh

Publikováno v: Advanced Science, Vol 10, Iss 18, Pp n/a-n/a (2023)

Abstract This research is taking the first steps toward applying a 2D dragonfly wing skeleton in the design of an airplane wing using artificial intelligence. The work relates the 2D morphology of the structural network of dragonfly veins to a second

Externí odkaz: https://doaj.org/article/0f5c03ae9c154585bfdbe3a502c332ef

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Akademický článek

Programming Multistable Metamaterials to Discover Latent Functionalities

Autor: Hossein Mofatteh, Benyamin Shahryari, Armin Mirabolghasemi, Alireza Seyedkanani, Razieh Shirzadkhani, Gilles Desharnais, Abdolhamid Akbarzadeh

Publikováno v: Advanced Science, Vol 9, Iss 33, Pp n/a-n/a (2022)

Abstract Using multistable mechanical metamaterials to develop deployable structures, electrical devices, and mechanical memories raises two unanswered questions. First, can mechanical instability be programmed to design sensors and memory devices? S

Externí odkaz: https://doaj.org/article/67c002c6a36e43e38d1993fd46186a61

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Dragonfly-Inspired Wing Design Enabled by Machine Learning and Graphic Statics

Autor: Masoud Akbarzadeh, Hao Zheng, Hossein Mofatteh, Marton Hablicsek, Abdolhamid Akbarzadeh Shafaroudi

This research relates the morphology of the structural network of a dragonfly wing to the static equilibrium of forces using a geometry-based equilibrium method known as graphic statics. It then develops machine learning algorithms to generate simila

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::5f65542a442ea99c708541739fe34aaa
https://doi.org/10.21203/rs.3.rs-2031666/v1