4.5 Article

Minimum Ignition Energy (MIE) prediction models for ignition sensitive fuels using machine learning methods

Related references

Note: Only part of the references are listed.
Article Engineering, Chemical

Developing Quantitative Structure-Property Relationship Models To Predict the Upper Flammability Limit Using Machine Learning

Shuai Yuan et al.

INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH (2019)

Article Engineering, Chemical

Machine Learning Derived Quantitative Structure Property Relationship (QSPR) to Predict Drug Solubility in Binary Solvent Systems

Sivadurgaprasad Chinta et al.

INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH (2019)

Article Engineering, Environmental

Improved partial inerting MIE test method for combustible dusts and its CFD validation

Purvali Chaudhari et al.

PROCESS SAFETY AND ENVIRONMENTAL PROTECTION (2019)

Article Engineering, Chemical

Estimation of minimum ignition energy of explosive chemicals using gravitational search algorithm based support vector regression

Taoreed O. Owolabi et al.

JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES (2019)

Article Engineering, Chemical

Novel method for hybrid gas-dust cloud ignition using a modified standard minimum ignition energy device

Haitian Han et al.

JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES (2018)

Editorial Material Thermodynamics

Fires and explosions

Trygve Skjold et al.

PROGRESS IN ENERGY AND COMBUSTION SCIENCE (2018)

Article Engineering, Chemical

Prediction of Minimum Ignition Energy from Molecular Structure Using Quantitative Structure-Property Relationship (QSPR) Models

Beibei Wang et al.

INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH (2017)

Article Engineering, Chemical

Fast prediction of minimum ignition energy from molecular structure using simple QSPR model

Beibei Wang et al.

JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES (2017)

Article Engineering, Chemical

Partial inerting of dust clouds using a modified standard minimum ignition energy device

Purvali Chaudhari et al.

JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES (2017)

Article Engineering, Environmental

QSPR estimation of the auto-ignition temperature for pure hydrocarbons

Tohid Nejad Ghaffar Borhani et al.

PROCESS SAFETY AND ENVIRONMENTAL PROTECTION (2016)

Article Automation & Control Systems

Chemometrics tools in QSAR/QSPR studies: A historical perspective

Saeed Yousefinejad et al.

CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS (2015)

Article Chemistry, Physical

Application of the QSPR Approach to the Boiling Points of Azeotropes

Alan R. Katritzky et al.

JOURNAL OF PHYSICAL CHEMISTRY A (2011)

Article Biochemical Research Methods

Recent Developments of In Silico Predictions of Intestinal Absorption and Oral Bioavailability

Tingjun Hou et al.

COMBINATORIAL CHEMISTRY & HIGH THROUGHPUT SCREENING (2009)

Article Chemistry, Medicinal

Prediction of flash point temperature of pure components using a Quantitative Structure-Property Relationship model

Farhad Gharagheizi et al.

QSAR & COMBINATORIAL SCIENCE (2008)

Review Engineering, Environmental

Dust explosions - Cases, causes, consequences, and control

Tasneem Abbasi et al.

JOURNAL OF HAZARDOUS MATERIALS (2007)

Article Chemistry, Medicinal

Random forest models to predict aqueous solubility

David S. Palmer et al.

JOURNAL OF CHEMICAL INFORMATION AND MODELING (2007)

Article Chemistry, Medicinal

Development and validation of k-nearest-neighbor QSPR models of metabolic stability of drug candidates

M Shen et al.

JOURNAL OF MEDICINAL CHEMISTRY (2003)

Article Biochemical Research Methods

Beware of q(2)!

A Golbraikh et al.

JOURNAL OF MOLECULAR GRAPHICS & MODELLING (2002)

Article Chemistry, Multidisciplinary

Mining and visualizing large anticancer drug discovery databases

LM Shi et al.

JOURNAL OF CHEMICAL INFORMATION AND COMPUTER SCIENCES (2000)