Estimating flashpoints of fuels and chemical compounds using hybrid machine-learning techniques

Farid Amirkhani; Amir Dashti; Hossein Abedsoltan; Amir H. Mohammadi; Abdoulmohammad Gholamzadeh Chofreh; Feybi Ariani Goni; Jiří Jaromír Klemeš

doi:10.1016/j.fuel.2022.124292

Estimating flashpoints of fuels and chemical compounds using hybrid machine-learning techniques

Farid Amirkhani
, Amir Dashti
, Hossein Abedsoltan
, Amir H. Mohammadi
, Abdoulmohammad Gholamzadeh Chofreh^*
, Feybi Ariani Goni
, Jiří Jaromír Klemeš

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

15 Citations (SciVal)

Original language	English
Article number	124292
Journal	Fuel
Volume	323
DOIs	https://doi.org/10.1016/j.fuel.2022.124292
Publication status	Published (VoR) - 1 Sept 2022

Funding

This research has been supported by the EU project “Sustainable Process Integration Laboratory – SPIL”, project No. CZ.02.1.01/0.0/0.0/15_003/0000456 funded by EU “CZ Operational Programme Research, Development and Education”, Priority 1: Strengthening capacity for quality research.

Funders	Funder number
European Commission	CZ.02.1.01/0.0/0.0/15_003/0000456

Keywords

CMIS
Flashpoint
Group contribution (GC) method
Modelling
Prediction

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10.1016/j.fuel.2022.124292

Cite this

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title = "Estimating flashpoints of fuels and chemical compounds using hybrid machine-learning techniques",

keywords = "CMIS, Flashpoint, Group contribution (GC) method, Modelling, Prediction",

author = "Farid Amirkhani and Amir Dashti and Hossein Abedsoltan and Mohammadi, \{Amir H.\} and Chofreh, \{Abdoulmohammad Gholamzadeh\} and Goni, \{Feybi Ariani\} and Kleme{\v s}, \{Ji{\v r}{\'i} Jarom{\'i}r\}",

note = "Publisher Copyright: {\textcopyright} 2022 Elsevier Ltd",

year = "2022",

month = sep,

day = "1",

doi = "10.1016/j.fuel.2022.124292",

language = "English",

volume = "323",

journal = "Fuel",

issn = "0016-2361",

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TY - JOUR

T1 - Estimating flashpoints of fuels and chemical compounds using hybrid machine-learning techniques

AU - Amirkhani, Farid

AU - Dashti, Amir

AU - Abedsoltan, Hossein

AU - Mohammadi, Amir H.

AU - Chofreh, Abdoulmohammad Gholamzadeh

AU - Goni, Feybi Ariani

AU - Klemeš, Jiří Jaromír

PY - 2022/9/1

Y1 - 2022/9/1

KW - CMIS

KW - Flashpoint

KW - Group contribution (GC) method

KW - Modelling

KW - Prediction

UR - https://www.scopus.com/pages/publications/85129568050

UR - https://www.scopus.com/pages/publications/85129568050#tab=citedBy

U2 - 10.1016/j.fuel.2022.124292

DO - 10.1016/j.fuel.2022.124292

M3 - Article

AN - SCOPUS:85129568050

SN - 0016-2361

VL - 323

JO - Fuel

JF - Fuel

M1 - 124292

ER -

Estimating flashpoints of fuels and chemical compounds using hybrid machine-learning techniques

Funding

Keywords

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