Combustion, chemistry, and carbon neutrality
K Kohse-Höinghaus - Chemical Reviews, 2023 - ACS Publications
Combustion is a reactive oxidation process that releases energy bound in chemical
compounds used as fuels─ energy that is needed for power generation, transportation …
compounds used as fuels─ energy that is needed for power generation, transportation …
Applications of machine learning in thermochemical conversion of biomass-A review
Thermochemical conversion of biomass has been considered a promising technique to
produce alternative renewable fuel sources for future energy supply. However, these …
produce alternative renewable fuel sources for future energy supply. However, these …
On neural differential equations
P Kidger - arXiv preprint arXiv:2202.02435, 2022 - arxiv.org
The conjoining of dynamical systems and deep learning has become a topic of great
interest. In particular, neural differential equations (NDEs) demonstrate that neural networks …
interest. In particular, neural differential equations (NDEs) demonstrate that neural networks …
A review on role of process parameters on pyrolysis of biomass and plastics: present scope and future opportunities in conventional and microwave-assisted pyrolysis …
DV Suriapparao, R Tejasvi - Process Safety and Environmental Protection, 2022 - Elsevier
Pyrolysis is one of the thermochemical conversion platforms for biomass and plastics into
value-added product resources. The products formation significantly varied with feedstock …
value-added product resources. The products formation significantly varied with feedstock …
Recent advances and future prospects of thermochemical biofuel conversion processes with machine learning
Biofuels have been widely recognized as potential solutions to addressing the climate crisis
and strengthening energy security and sustainability. However, techno-economic and …
and strengthening energy security and sustainability. However, techno-economic and …
Machine learning to predict biochar and bio-oil yields from co-pyrolysis of biomass and plastics
A Alabdrabalnabi, R Gautam, SM Sarathy - Fuel, 2022 - Elsevier
Because of high oxygen content, pH and viscosity, pyrolysis bio-oil is of low quality.
Upgrading bio-oil can be achieved by co-pyrolysis of biomass with waste plastics, and it is …
Upgrading bio-oil can be achieved by co-pyrolysis of biomass with waste plastics, and it is …
[HTML][HTML] Machine learning applications in biomass pyrolysis: from biorefinery to end-of-life product management
DA Akinpelu, OA Adekoya, PO Oladoye… - Digital Chemical …, 2023 - Elsevier
The thermochemical conversion of biomass is a promising technology due to its cost-
effectiveness and feedstock flexibility, with pyrolysis being a particularly noteworthy method …
effectiveness and feedstock flexibility, with pyrolysis being a particularly noteworthy method …
The application of physics-informed machine learning in multiphysics modeling in chemical engineering
Physics-Informed Machine Learning (PIML) is an emerging computing paradigm that offers a
new approach to tackle multiphysics modeling problems prevalent in the field of chemical …
new approach to tackle multiphysics modeling problems prevalent in the field of chemical …
Surrogate modeling of parameterized multi-dimensional premixed combustion with physics-informed neural networks for rapid exploration of design space
Parametric optimization is a critical component in designing and prototyping combustion
systems. However, existing parametric optimization methods often suffer from either …
systems. However, existing parametric optimization methods often suffer from either …
Hydrothermal liquefaction: a technological review on reactor design and operating parameters
Hydrothermal liquefication (HTL) is a thermochemical process that occurs in the presence of
water. HTL converts lignocellulose biomass (2nd generation biomass) into useful products …
water. HTL converts lignocellulose biomass (2nd generation biomass) into useful products …