Geochemical Influences on Carbon Nanotubes Transport in Subsurface Environments: Integrating Millifluidics, Spectral Induced Polarization, and Machine Learning

Geochemical Influences on Carbon Nanotubes Transport in Subsurface Environments: Integrating Millifluidics, Spectral Induced Polarization, and Machine Learning

Abstract Understanding nanoparticles, like carbon nanotube (CNT), transport and retention in porous media is critical for environmental risk assessment and remediation. Millifluidic visualization, spectral induced polarization (SIP), and deep neural network (DNN) were integrated to resolve spatio‐te...

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Bibliographic Details
Main Authors: Yixin Yang, Pengfei Liu, Kexin Chen, Sheng Zhou, Longlong Meng, Chi Zhang, Junnan Cao, Bate Bate
Format: Article
Language:English
Published: Wiley 2025-07-01
Series:Geophysical Research Letters
Subjects:
spectral induced polarization
millifluidics
machine learning
particle transport
monitoring
Online Access:https://doi.org/10.1029/2025GL116768
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