Abstract Machine learning (ML) has emerged as a significant tool in the field of biorefinery,
offering the capability to analyze and predict complex processes with efficiency. This article …

The thermochemical conversion of biomass is a promising technology due to its cost-
effectiveness and feedstock flexibility, with pyrolysis being a particularly noteworthy method …

In view of the global climate change concerns, the society is approaching towards the
development of 'green'and renewable energies for sustainable future. The non-renewable …

The development and application of bioenergy and biofuels conversion technology can play
a significant role for the production of renewable and sustainable energy sources in the …

Novel biorefineries could transform lignin, an abundant biopolymer, from side-stream waste
to high-value-added byproducts at their site of production and with minimal experiments …

Thermochemical conversion of biomass has been considered a promising technique to
produce alternative renewable fuel sources for future energy supply. However, these …

Biofuels have been widely recognized as potential solutions to addressing the climate crisis
and strengthening energy security and sustainability. However, techno-economic and …

Abstract Life Cycle Assessment is a data-intensive process holding great promise to benefit
from advanced analytics and machine learning technologies. The present research aims at …

Lignocellulose can be converted into biofuel or functional materials to achieve high value-
added utilization. Biomass utilization process is complex and multi-dimensional. This paper …

Biorefinery systems are playing pivotal roles in the technological support of resource
efficiency for circular bioeconomy. Meanwhile, artificial intelligence presents great potential …