Residual Attention U-Net for Predicting Fluid Dynamics and Permeability in Two-Dimensional Digital Porous Rocks
View on DOI 10.1088/2632-2153/ae2564
Intan Nurma Yulita
Researcher · Department of Computer Science, Universitas PadjadjaranResearcher · Universitas Padjadjaran
Works onDigital Rock PhysicsMachine Learning
75DocumentsScopus
15h-indexScopus
642CitationsScopus
About
Publishes widely in machine learning, deep learning, and applied AI. Long-time DRPRS Lab partner on deep-learning models for digital rock physics, such as U-Net surrogates that predict permeability and estimate parameters from 2D/3D rock images.
Publications
Selected peer-reviewed papers with the DRPRS Lab on machine learning for digital rocks. Full list on the Scopus author page.
Estimating Two-Dimensional Physical Parameters of Digital Rocks using Deep Learning
View on DOI 10.1088/1402-4896/ad9d08
Application of Machine Learning for Estimating the Physical Parameters of Three-Dimensional Fractures
View on DOI 10.3390/app142412037
A Study of Transfer Learning in Digital Rock Properties Measurement
View on DOI 10.1088/2632-2153/acf117
