Bioplastic derived from corn stover: Life cycle assessment and artificial intelligence-based analysis of uncertainty and variability

J Li, Y Wang, C Xu, S Liu, J Dai, K Lan - Science of The Total Environment, 2024 - Elsevier
Exploring feasible and renewable alternatives to reduce dependency on traditional fossil-
based plastics is critical for sustainable development. These alternatives can be produced …

[HTML][HTML] Systematic review of the life cycle optimization literature, and recommendations for performance of life cycle optimization studies

I Turner, N Bamber, J Andrews, N Pelletier - Renewable and Sustainable …, 2025 - Elsevier
Life cycle optimization (LCO) refers to the integration of objectives calculated using a life-
cycle based framework into mathematical optimization problems. Application of LCO may …

[HTML][HTML] Frameworks for the application of machine learning in life cycle assessment for process modeling

N Martínez-Ramón, F Calvo-Rodríguez… - Cleaner Environmental …, 2024 - Elsevier
In the face of escalating emission reduction demands and heightened public awareness, the
imperative for transparent assessments is fundamental to responsible and sustainable …

High yield of carbonaceous material from biomass via pyrolysis-condensation

K Sun, Y Wang, L Zhang, Y Shao, C Li, S Zhang… - Chemical Engineering …, 2024 - Elsevier
Biochar is a carbonaceous material produced from pyrolysis of biomass in oxygen-deficient
atmosphere, which is the feedstock for production of numerous functional carbon materials …

Predicting environmental impacts of smallholder wheat production by coupling life cycle assessment and machine learning

C Yu, G Xu, M Cai, Y Li, L Wang, Y Zhang… - Science of the Total …, 2024 - Elsevier
Wheat grain production is a vital component of the food supply produced by smallholder
farms but faces significant threats from climate change. This study evaluated eight …

Machine learning to enhance sustainable plastics: A review

C Guarda, J Caseiro, A Pires - Journal of Cleaner Production, 2024 - Elsevier
Plastic pollution requires advances in the production, use, and recovery of plastics to
minimize environmental and human-health impacts. Machine Learning (ML) has been …

[HTML][HTML] Predicting product life cycle environmental impacts with machine learning: Uncertainties and implications for future reporting requirements

J Baehr, A Koyamparambath, E Dos Reis… - Sustainable Production …, 2024 - Elsevier
With the introduction of the European Green Deal, companies must increasingly report the
environmental impacts of their products using life cycle assessment methodology. Since the …

[HTML][HTML] Advancing Life Cycle Assessment of Sustainable Green Hydrogen Production Using Domain-Specific Fine-Tuning by Large Language Models Augmentation

Y Chen, U Liebau, SM Guruprasad… - Machine Learning and …, 2024 - mdpi.com
Assessing the sustainable development of green hydrogen and assessing its potential
environmental impacts using the Life Cycle Assessment is crucial. Challenges in LCA, like …

Building shape optimization based on interconnected embodied and operational energy and carbon impacts

F Nazari, M Dixit, W Yan, A Aryal - Energy and Buildings, 2024 - Elsevier
Strategic building design decisions informed by a comprehensive life cycle impact
assessment hold substantial potential in addressing global energy consumption and carbon …

[HTML][HTML] A simplified machine learning product carbon footprint evaluation tool

S Lang, B Engelmann, A Schiffler, J Schmitt - Cleaner Environmental …, 2024 - Elsevier
On the way to climate neutrality manufacturing companies need to assess the Carbon
dioxide (CO 2) emissions of their products as a basis for emission reduction measures. The …