Beyond energy density: multimodal learning for porosity prediction in LPBF

Authors: Logan C. Robinson, Amanda S. Fernandez
Publication: Machine Learning from Challenging Data 2026
Published: Jun 12, 2026
Source: Crossref
Back to Search View Original Cite This Article

Related Articles

Investigation on Velocity Response and Energy Saving Performance of Water Hydraulic Systems Without Using Servo Valve

Pha N Pham, Kazuhisa Ito et al. - Sep 2103

Read More
Using energy landscape analysis to explore functional connectivity in Parkinson's disease patients with severe hyposmia

Javan Mendoza, Fow-Sen Choa - Jun 2026

Read More
High power electromagnetic dispersion control structures: manufacturing and characterisation from X to Ka band frequencies

Kevin Ronald, Amy J. MacLachlan et al. - Jun 2026

Read More
Pulse compression of a high-power GHz electro-optic frequency comb laser

Yeong Gyu Kim, Geon Lim et al. - Jun 2026

Read More
Development of high-power experimental testing apparatus for CSSR microwave sources

Kevin Ronald, David C. Speirs et al. - Jun 2026

Read More
Journal Ideas PyMinds Charcha More
PORE

About

About Us

Resources

Help Center Research Guides Citescore

Legal

Terms of Service Privacy Policy Cookie Policy Accessibility

Connect

Contact Us
© 2026 PORE. Content available under CC BY-NC 4.0