2 papers
math.NA2026
Reactive Transport Modeling with Physics-Informed Machine Learning for Critical Minerals Applications
K. Adhikari, Md. Lal Mamud, M. K. Mudunuru +1
This study presents a physics-informed neural network (PINN) framework for reactive transport modeling for simulating fast bimolecular reactions in porous media. Accurate character…
cs.CV2026
HyDeMiC: A Deep Learning-based Mineral Classifier using Hyperspectral Data
M. L. Mamud, Piyoosh Jaysaval, Frederick D Day-Lewis +1
Hyperspectral imaging (HSI) has emerged as a powerful remote sensing tool for mineral exploration, capitalizing on unique spectral signatures of minerals. However, traditional clas…