Optimizing biodiesel production from waste with computational chemistry, machine learning and policy insights: a review
The excessive reliance on fossil fuels has resulted in an energy crisis, environmental
pollution, and health problems, calling for alternative fuels such as biodiesel. Here, we …
pollution, and health problems, calling for alternative fuels such as biodiesel. Here, we …
Harnessing a better future: exploring AI and ML applications in renewable energy
TH Nguyen, P Paramasivam, HC Le… - JOIV: International Journal …, 2024 - joiv.org
Integrating machine learning (ML) and artificial intelligence (AI) with renewable energy
sources, including biomass, biofuels, engines, and solar power, can revolutionize the …
sources, including biomass, biofuels, engines, and solar power, can revolutionize the …
Twofold Machine-Learning and Molecular Dynamics: A Computational Framework
C Stavrogiannis, F Sofos, M Sagri, D Vavougios… - Computers, 2023 - mdpi.com
Data science and machine learning (ML) techniques are employed to shed light into the
molecular mechanisms that affect fluid-transport properties at the nanoscale. Viscosity and …
molecular mechanisms that affect fluid-transport properties at the nanoscale. Viscosity and …
[PDF][PDF] Leveraging artificial Intelligence for enhanced sustainable energy management
The integration of Artificial Intelligence (AI) into sustainable energy management presents a
transformative opportunity to elevate the sustainability, reliability, and efficiency of energy …
transformative opportunity to elevate the sustainability, reliability, and efficiency of energy …
Soft computing-based modelling and optimization of NOx emission from a variable compression ratio diesel engine
Abstract Machine learning method and statistical method used for model prediction and
optimization of third generation biodiesel-diesel blend powered variable compression …
optimization of third generation biodiesel-diesel blend powered variable compression …