mp_fo_ml

Micropollutants removal process from water/wastewater is simulated and modelled using PyCaret library with several machine learning algorithms, predicting rejection rate, water flux and reverse salt flux with high accuracy.

https://github.com/chemengml/mp_fo_ml

Science Score: 44.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
    Found CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
  • Academic links in README
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (1.7%) to scientific vocabulary
Last synced: 7 months ago · JSON representation ·

Repository

Micropollutants removal process from water/wastewater is simulated and modelled using PyCaret library with several machine learning algorithms, predicting rejection rate, water flux and reverse salt flux with high accuracy.

Basic Info
  • Host: GitHub
  • Owner: ChemEngML
  • Language: Jupyter Notebook
  • Default Branch: main
  • Size: 6.55 MB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 2
Created almost 3 years ago · Last pushed 9 months ago
Metadata Files
Citation

Owner

  • Login: ChemEngML
  • Kind: user

Citation (CITATION.cff.txt)

cff-version: 1.2.0
message: "If you use this software or data, please cite it as below."
title: "AI-assisted Prediction and Optimization of Micropollutants Removal with Forward Osmosis Membranes"
version: "v1.0.0"
date-released: "2025-06-21"

# — Creators: appear in the formal data citation
authors:
  - family-names: Jafari
    given-names: Mehryar
    orcid: "https://orcid.org/0009-0001-4442-1742
  - family-names: Tzirtzipi
    given-names: Christina
  - family-names: Aghdam
    given-names: Ali Molaei
  - family-names: Chahartagh
    given-names: Nima Mikaeili
  - family-names: Castro Dominguez
    given-names: Bernardo

# — Funding
funding:
  - name: "University of Bath"
  - name: "UK Research and Innovation (UKRI)"
  - name: "EPSRC"
    grant-number: "EP/W524712/1"

# — Keywords
keywords:
  - Forward Osmosis
  - Micropollutants
  - Artificial Intelligence
  - Gradient Boosting
  - Neural Networks
  - Water Flux
  - Rejection Rate

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  • Push event: 1
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