A review on application of artificial neural network (ANN) for performance and emission characteristics of diesel engine fueled with biodiesel-based fuels

AT Hoang, S Nižetić, HC Ong, W Tarelko, TH Le… - Sustainable Energy …, 2021 - Elsevier
Biodiesel has been emerging as a potential and promising biofuel for the strategy of
reducing toxic emissions and improving engine performance. Computational methods …

A review on the application of response surface method and artificial neural network in engine performance and exhaust emissions characteristics in alternative fuel

IM Yusri, APPA Majeed, R Mamat, MF Ghazali… - … and Sustainable Energy …, 2018 - Elsevier
Alternative fuel is one of the widely used fuel substitutions for both petrol and diesel in the
field of internal combustion engine. The increase in the demand for alternative fuel is …

Machine learning for catalysis informatics: recent applications and prospects

T Toyao, Z Maeno, S Takakusagi, T Kamachi… - Acs …, 2019 - ACS Publications
The discovery and development of catalysts and catalytic processes are essential
components to maintaining an ecological balance in the future. Recent revolutions made in …

[HTML][HTML] A generalized machine learning framework to predict the space-time yield of methanol from thermocatalytic CO2 hydrogenation

M Suvarna, TP Araujo, J Pérez-Ramírez - Applied Catalysis B …, 2022 - Elsevier
Thermocatalytic CO 2 hydrogenation to methanol is an attractive defossilization technology
to combat climate change while producing a valuable platform chemical and energy carrier …

Extracting knowledge from data through catalysis informatics

AJ Medford, MR Kunz, SM Ewing, T Borders… - Acs …, 2018 - ACS Publications
Catalysis informatics is a distinct subfield that lies at the intersection of cheminformatics and
materials informatics but with distinctive challenges arising from the dynamic, surface …

Elucidating the impact of Ni and Co loading on the selectivity of bimetallic NiCo catalysts for dry reforming of methane

J Horlyck, C Lawrey, EC Lovell, R Amal… - Chemical Engineering …, 2018 - Elsevier
Nickel and cobalt-based catalysts are very promising candidates for the dry reforming of
methane, but their role in regulating catalyst selectivity has thus far been overlooked. Here …

Dry reforming of methane over Ni/Ce0. 8Ti0. 2O2-δ: The effect of Ni particle size on the carbon pathways studied by transient and isotopic techniques

CM Damaskinos, J Zavašnik, P Djinović… - Applied Catalysis B …, 2021 - Elsevier
The effects of Ni particle size (d Ni∼ 22–45 nm) of Ni/Ce 0.8 Ti 0.2 O 2-δ on the carbon
paths in the dry reforming of methane at 750° C have been investigated by various transient …

[HTML][HTML] Addressing complexity in catalyst design: From volcanos and scaling to more sophisticated design strategies

SM Stratton, S Zhang, MM Montemore - Surface Science Reports, 2023 - Elsevier
Volcano plots and scaling relations are commonly used to design catalysts and understand
catalytic behavior. These plots are a useful tool due to their robust and simple analysis of …

AI for nanomaterials development in clean energy and carbon capture, utilization and storage (CCUS)

H Chen, Y Zheng, J Li, L Li, X Wang - ACS nano, 2023 - ACS Publications
Zero-carbon energy and negative emission technologies are crucial for achieving a carbon
neutral future, and nanomaterials have played critical roles in advancing such technologies …

Identifying Descriptors for Promoted Rhodium-Based Catalysts for Higher Alcohol Synthesis via Machine Learning

M Suvarna, P Preikschas, J Pérez-Ramírez - ACS catalysis, 2022 - ACS Publications
Rhodium-based catalysts offer remarkable selectivities toward higher alcohols, specifically
ethanol, via syngas conversion. However, the addition of metal promoters is required to …