Abstract
This Research Topic from Frontiers in Nanotechnology, “Nanofluidics: Computational Methods and Applications”, presents computational, analytical, simulation and experimental techniques aimed at advancing our understanding of nanofluidic phenomena and paving the way for novel applications that can play a leading role in today’s technology. With a Research Topic of four studies, the reader will find i) an interesting paper presenting the novel use of single-layer MoS2 nanopores as sensors for the identification of biomarkers, ii) a seminal paper using various machine learning and deep learning methods to reproduce particle trajectories from molecular dynamics simulations taking into account physical laws, iii) a new paper investigating the mechanisms of heat transfer in a vertical double-passage channel with a permeable fluid and, iv) a significant study on the quantification of hydrophobicity in nanoparticle systems with environmental considerations.
| Original language | English |
|---|---|
| Article number | 1431198 |
| Journal | Frontiers in Nanotechnology |
| Volume | 6 |
| DOIs | |
| Publication status | Published - 13 Jun 2024 |
Keywords
- physics-based machine learning
- hydrophobicity
- molecular dynamics
- heat transfer
- porous flow
- nanoparticles