Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Kundo Park"'
Autor:
Ziyue Yang, Kundo Park, Jisoo Nam, Jaewon Cho, Yong Jun Choi, Yong‐Il Kim, Hyeonsoo Kim, Seunghwa Ryu, Miso Kim
Publikováno v:
Advanced Science, Vol 11, Iss 33, Pp n/a-n/a (2024)
Abstract Piezoelectric fiber yarns produced by electrospinning offer a versatile platform for intelligent devices, demonstrating mechanical durability and the ability to convert mechanical strain into electric signals. While conventional methods invo
Externí odkaz:
https://doaj.org/article/d07ee3528dd945edb48ba6405b28fea6
Publikováno v:
Materials & Design, Vol 238, Iss , Pp 112700- (2024)
Recently, grid composites have drawn considerable attention in various engineering applications due to their customizable mechanical properties, stemming from a wide spectrum of available configurations. Advanced additive manufacturing techniques hav
Externí odkaz:
https://doaj.org/article/62a85768c3174197ae488b5901e9d8e5
Publikováno v:
npj Computational Materials, Vol 7, Iss 1, Pp 1-7 (2021)
Abstract Neural network-based generative models have been actively investigated as an inverse design method for finding novel materials in a vast design space. However, the applicability of conventional generative models is limited because they canno
Externí odkaz:
https://doaj.org/article/3abb3c18732c4ddb864b7c0fbbb2e5e1
Publikováno v:
Materials Horizons; Oct2023, Vol. 10 Issue 10, p4329-4343, 15p
Publikováno v:
Journal of Intelligent Manufacturing.
The staggered platelet composite structure, one of the most well-known examples of biomimetics, is inspired by the microstructure of nacre, where stiff mineral platelets are stacked with a small fraction of soft polymer in a brick-and-mortar style. S
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5680e847eda41fe06406aa6f7d1b3a8b
https://doi.org/10.31224/osf.io/6mg3z
https://doi.org/10.31224/osf.io/6mg3z
Publikováno v:
npj Computational Materials, Vol 7, Iss 1, Pp 1-7 (2021)
Neural network-based generative models have been actively investigated as an inverse design method for finding novel materials in a vast design space. However, the applicability of conventional generative models is limited because they cannot access
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4ab96f1109ba6a1c670b52ed01c038fd
https://doi.org/10.31224/osf.io/k6v4q
https://doi.org/10.31224/osf.io/k6v4q
Autor:
Flavia Libonati, Diego Scaccabarozzi, Alejandro Ureña, Seunghwa Ryu, Aberto Jimenez-Suarez, Kundo Park, Claudio Sbarufatti
Owing to the high strength-to-weight and stiffness-to-weight ratios, composite materials are today essential building blocks for a wide range of industrial applications. However, their complex microstructures make it difficult to predict their failur
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6d2ef8fc4b279ed6874f5725b772e062
https://hdl.handle.net/11567/1011332
https://hdl.handle.net/11567/1011332
Rooted in their heterogeneous microstructure, composite materials possess high strength-to-weight and stiffness-to-weight ratios, making them essential building blocks for a wide range of industrial applications. However, their complicated microstruc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a6106b62ee2e9e67c9815f58e613b4cc
https://engrxiv.org/e5wn3
https://engrxiv.org/e5wn3