Expanding the Reach of Life Cycle Assessment with Artificial Intelligence

David Adiwijaya, Jessica Hanafi, Henry Tan

Life Cycle Indonesia, Indonesia

Stoichiometry-based prediction of life cycle inventories: Benchmarking & best practices

Tim Langhorst¹, Benedikt Winter¹, Dennis Roskosch¹, André Bardow^1,2

¹Energy and Process Systems Engineering, ETH Zurich, Switzerland; ²Institute for Energy and Climate Research - Energy Systems Engineering (IEK-10), Forschungszentrum Jülich GmbH, Germany

Environmental impact prediction of chemical processes using graph neural networks

Lukas Schulze Balhorn¹, Qinghe Gao¹, Alessandro Laera¹, Jana M. Weber², Raoul Meys³, Artur M. Schweidtmann¹

¹Process Intelligence Research, Department of Chemical Engineering, Delft University of Technology, Van der Maasweg 9, Delft 2629 HZ, The Netherlands; ²Pattern Recognition and Bioinformatics, Department of Intelligent Systems, Delft University of Technology, Van Mourik Broekmanweg 6, 2628 XE Delft, The Netherlands; ³CarbonMinds GmbH, Eupener Str. 165, 50933 Cologne, Germany

A Novel Framework using Artificial Neural Networks to Predict Environmental Impacts of Construction Products

Anish Koyamparambath¹, Julian Baehr², Eduardo dos Reis³, Carolina Szablewski⁴, Liselotte Schebek², Guido Sonneman¹, Naeem Adibi⁴

¹Institute of Molecular Sciences, University of Bordeaux, Centre National de la Recherche Scientifique, Bordeaux INP, ISM, UMR 5255, 33400 Talence, France; ²Institute IWAR Material Flow Management and Resource Economy, Technical University Darmstadt, Germany; ³Data and AI Systems, Department of Computer Science, Technical University Darmstadt, Germany; ⁴WeLOOP, 254 Rue de Bourg, 59130 Lambersart, France

Exploring the Potential of Word Vectorization for Automatic Prediction of Greenhouse Gas Emission Factor: Supervised Learning in Inventory Database for Environmental Analysis (IDEA) using word2vec

Riku Ishioka, Dami Moon, Yoshihiro Kawahara

The University of Tokyo, Japan