In-situ_SLS_Porosity_Paper_Supporting_Data

This data reposity contains the data supporting the publication "High-speed Multimodal Actionable Porosity Prediction for Enabling In-process1 Control of Selective Laser Sintering". (Currently under review)

Publication Details

Journal
OSF Preprints (OSF Preprints)
Published
2025-01-01
DOI
https://doi.org/10.17605/osf.io/ghcvj
Primary Topic
Machine Learning in Materials Science
Type
article
Field-Weighted Citation Impact
0.00
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article

In-situ_SLS_Porosity_Paper_Supporting_Data

OSF Preprints (OSF Preprints)
Machine Learning in Materials Science
article

In-situ_SLS_Porosity_Paper_Supporting_Data

article en

Abstract

This data reposity contains the data supporting the publication "High-speed Multimodal Actionable Porosity Prediction for Enabling In-process1 Control of Selective Laser Sintering". (Currently under review)

OSF Preprints (OSF Preprints)
Openalex Percentile: Top 61%
Machine Learning in Materials Science
DOIOpen Access PDFOpenAlex
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In-situ_SLS_Porosity_Paper_Supporting_Data · OSF Preprints (OSF Preprints) (2025) | TGRS Research Map | TGRS