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Portrait of Yoevita Emeliana

Yoevita Emeliana

Master’s Student · Postgraduate Physics Programme, Universitas PadjadjaranMaster’s Student · Universitas Padjadjaran

Works onDigital Rock PhysicsMachine Learning
6Published papers+1 under review
3Top tierQ1 / high-impact journals
1h-indexScopus
16CitationsAll time

About

Models fluid flow and effective transport properties in 2D/3D porous rocks with lattice Boltzmann and deep-learning surrogates such as residual attention U-Net. First author of the Residual Attention U-Net paper in Machine Learning: Science and Technology (2025), and lead reviewer of the Top Tier systematic review on lattice Boltzmann and neural networks for porous rocks.

Publications

Peer-reviewed papers and manuscripts written with the DRPRS Lab.

2026

2026 · Energy Reports

Pore-Scale Tortuosity Models for Permeability Prediction in Subsurface Energy Systems: A PRISMA-Guided Systematic Review

Benedicta Loveni Melkisedek, Yoevita Emeliana, Chandra Widyananda Winardhi, Irwan Ary Dharmawan

Energy Reports, vol. 16, 109508Digital Rock PhysicsTop tier
2026

2026 · Physics of Fluids

The Lattice Boltzmann Method for Multicomponent Flows with High Viscosity Ratios: A Comprehensive Review

Irwan Ary Dharmawan, Yoevita Emeliana, Benedicta Loveni Melkisedek, Imran Hilman Mohammad, Andri Abdurrochman

Physics of Fluids, vol. 38, 071302Digital Rock Physics
2026

2026 · Transport in Porous Media

A Dimensionless Morphological Framework for Permeability Prediction in Porous Rocks: Extending Kozeny–Carman with Coordination Number and Throat-Scale Corrections

Transport in Porous Media (Springer)Digital Rock PhysicsUnder review
2026

2026 · Chemical Engineering Journal Advances

Explainable Machine Learning for Sandstone Rock Typing: Triple-Anchor Convergence with Closed-Form Permeability Laws

Irwan Ary Dharmawan, Safira Rahma Kartika, Aldenia Alexandra, Benedicta Loveni Melkisedek, Yoevita Emeliana

Chemical Engineering Journal Advances, vol. 27, 101323Digital Rock PhysicsTop tier
2026

2026 · Results in Engineering

Integrating Lattice Boltzmann and Neural Networks for Modeling Transport Parameters in Porous Rocks: A Systematic Review

Yoevita Emeliana, Benedicta Loveni Melkisedek, Irwan Ary Dharmawan

Results in Engineering, vol. 29, 108688Digital Rock PhysicsTop tier
2025

2025 · Applied Sciences

A Comparative Study of Three-Dimensional Flow Based, Geometric, and Empirical Tortuosity Models in Carbonate and Sandstone Reservoirs

Benedicta Loveni Melkisedek, Yoevita Emeliana, Irwan Ary Dharmawan

Applied Sciences, vol. 15, 7467Digital Rock PhysicsEditor’s Choice
2025

2025 · Machine Learning: Science and Technology

Residual Attention U-Net for Predicting Fluid Dynamics and Permeability in Two-Dimensional Digital Porous Rocks

Yoevita Emeliana, Benedicta Loveni Melkisedek, Intan Nurma Yulita, Irwan Ary Dharmawan

Machine Learning: Science and Technology, vol. 6, 045063Digital Rock Physics

Co-authors in the lab

History

2025 – Present
Master of Science in Physics (M.Sc) · Fast Track Department of Physics, Faculty of Mathematics and Natural Sciences, Universitas Padjadjaran Research: lattice Boltzmann method and deep-learning surrogates for digital rock physics.
2021 – 2025
Bachelor of Science in Geophysics Department of Geophysics, Faculty of Mathematics and Natural Sciences, Universitas Padjadjaran