Predicting Porosity in Freeze Casting with Explainable Machine Learning.

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Bibliographic Details
Title: Predicting Porosity in Freeze Casting with Explainable Machine Learning.
Authors: de Oliveira RGB; College of Technology, Department of Mechanical Engineering, University of Brasília, Federal District, Brasília 70910-900, Brazil., Yudi J; College of Technology, Department of Mechanical Engineering, University of Brasília, Federal District, Brasília 70910-900, Brazil., da Silva EP; College of Technology, Department of Mechanical Engineering, University of Brasília, Federal District, Brasília 70910-900, Brazil., Bestard GA; College of Technology, Department of Mechanical Engineering, University of Brasília, Federal District, Brasília 70910-900, Brazil., Ribeiro Junior LA; Institute of Physics, University of Brasília, Federal District, Brasília 70910-900, Brazil.; Computational Materials Laboratory, LCCMat, Institute of Physics, University of Brasília, Federal District, Brasília 70910-900, Brazil., Silva AMA; College of Technology, Department of Mechanical Engineering, University of Brasília, Federal District, Brasília 70910-900, Brazil.
Source: ACS omega [ACS Omega] 2025 Jul 16; Vol. 10 (29), pp. 32246-32256. Date of Electronic Publication: 2025 Jul 16 (Print Publication: 2025).
Publication Type: Journal Article
Journal Info: Publisher: American Chemical Society Country of Publication: United States NLM ID: 101691658 Publication Model: eCollection Cited Medium: Internet ISSN: 2470-1343 (Electronic) Linking ISSN: 24701343 NLM ISO Abbreviation: ACS Omega Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2470-1343
DOI:10.1021/acsomega.5c04133