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Machine learning in prospective LCA

Machine learning (ML) offers considerable opportunities for advancing life cycle assessment (LCA), yet a consolidated overview of ML models with potential for prospective LCA …

Emerging digital product passport initiatives require improved data structuring to support life cycle assessment

Hydrogen and biomass-based carbon source integration for iron and steel manufacturing

Machine Learning to support prospective Life Cycle Assessment of emerging chemical technologies

Increasing calls for safer and more sustainable approaches to innovation in the chemical sector necessitate adapted methods for the environmental assessment of emerging chemical …

Data implementation matters: Effect of software choice and LCI database evolution on a comparative LCA study of permanent magnets

The future of artificial intelligence in the context of industrial ecology

Environmental Pressures and Value Added Related to Imports and Exports of the Dutch Agricultural Sector

Modeling the circular economy in environmentally extended input-output: A web application

Efficient computation of environmentally extended input-output scenario and circular economy modeling

Modeling the circular economy in environmentally extended input-output tables: Methods, software and case study