☆ 4.6 Review

State-of-the-art and future directions of machine learning for biomass characterization and for sustainable biorefinery

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Bio-Based Chemicals from Renewable Biomass for Integrated Biorefineries

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A Machine Learning Approach for Biomass Characterization

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New insight into the effect of fungal mycelia present in the bio-pretreated paddy straw on their enzymatic saccharification and optimization of process parameters

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Designing a Reliable and Congested Multi-Modal Facility Location Problem for Biofuel Supply Chain Network

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On the exergoeconomic and exergoenvironmental evaluation and optimization of biodiesel synthesis from waste cooking oil (WCO) using a low power, high frequency ultrasonic reactor

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The effect of power-ultrasound on the pretreatment of acidified aqueous solutions of banana flower-stalk: Structural, chemical and statistical analysis

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Neural Network Modeling of Heavy Metal Sorption on Lignocellulosic Biomasses: Effect of Metallic Ion Properties and Sorbent Characteristics

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INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH (2015)

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Economic and environmental optimization of a large scale sustainable dual feedstock lignocellulosic-based bioethanol supply chain in a stochastic environment

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Predicting the methane yield of lignocellulosic biomass in mesophilic solid-state anaerobic digestion based on feedstock characteristics and process parameters

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INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH (2013)

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A study on the enzymatic hydrolysis of steam exploded napiergrass with alkaline treatment using artificial neural networks and regression analysis

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An economic and environmental comparison of a biochemical and a thermochemical lignocellulosic ethanol conversion processes

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ENERGY & FUELS (2009)

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Pretreatment: the key to unlocking low-cost cellulosic ethanol

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Development and validation of a kinetic model for enzymatic saccharification of lignocellulosic biomass

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Modeling biomass devolatilization using the chemical percolation devolatilization model for the main components

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