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Optimization of process parameters in 3D-nanomaterials printing for enhanced uniformity, quality, and dimensional precision using physics-guided artificial neural network

Crossref DOI link: https://doi.org/10.1186/s11671-024-04155-w

Published Online: 2024-12-16

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Ghandehari, Anita

Tavares-Negrete, Jorge A.

Rajendran, Jerome

Yi, Qian

Esfandyarpour, Rahim
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Text and Data Mining valid from 2024-12-16

Version of Record valid from 2024-12-16
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Article History

Received: 30 August 2024

Accepted: 27 November 2024

First Online: 16 December 2024

Declarations

:

: The authors declare no competing interests.

: On behalf of all authors, the corresponding author affirms that this research article did not involve any human or animal studies.

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