Estimating biofuel density via a soft computing approach based on intermolecular interactions-Reference-Cited by-同舟云学术

Estimating biofuel density via a soft computing approach based on intermolecular interactions

Published:2020-06 Issue: Volume:152 Page:1086-1098
ISSN:0960-1481
Container-title:Renewable Energy
language:en
Short-container-title:Renewable Energy

Author:

Nabipour Narjes,Daneshfar Reza,Rezvanjou Omid,Mohammadi-Khanaposhtani Mohammad,Baghban Alireza,Xiong Qingang,Li Larry K.B.,Habibzadeh Sajjad,Doranehgard Mohammad Hossein

Publisher

Elsevier BV

Subject

Renewable Energy, Sustainability and the Environment

Reference50 articles.

1. Comparing greenhouse gas footprints and payback times of crop-based biofuel production worldwide;Elshout;Biofuels,2019

2. Accelerated oxidation of fresh and stored biodiesel samples obtained from castor and soybean oils using the petrooxy method;Machado;Biofuels,2018

3. The greenhouse gas benefits of corn ethanol–assessing recent evidence;Lewandrowski;Biofuels,2019

4. Application of the self-organizing map in the classification of natural antioxidants in commercial biodiesel;Kimura;Biofuels,2018

5. Short history and present trends of Fischer–Tropsch synthesis;Schulz;Appl. Catal. Gen.,1999

Cited by 57 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Perspective on Fuel Property Blending Rules for Design and Qualification of Aviation Fuels: A Review;Energy & Fuels;2024-08-27

2. On the evaluation of surface tension of biodiesel;Scientific Reports;2024-08-06

3. Hybrid scheduling strategy and improved marine predator optimizer for energy scheduling in integrated energy system to enhance economic and environmental protection capability;Renewable Energy;2024-07

4. Revolutionizing inverse design of ionic liquids through the multi-property prediction of over 300,000 novel variants using ensemble deep learning;Materials Science and Engineering: R: Reports;2024-06

5. A constrained machine learning surrogate model to predict the distribution of water-in-oil emulsions in electrostatic fields;Scientific Reports;2024-05-15