Conference Agenda
Session | |
Session 2.16: Boosting LCM with AI, Machine Learning & Data Science Tools
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Presentations | |
(15 minutes_S)
Integrating Large Language Models into the In-Silico environmental assessment of new chemicals and materials for SSbD Luxembourg Institute of Science and Technology, Luxembourg (15 minutes)
Automated LCI Data Generation for Fine Chemicals via Retrosynthesis Carbon Minds GmbH, Germany (15 minutes_S)
From SMILES to Sustainability: Predicting the Full Life Cycle Inventory of Chemicals with Machine Learning 1Energy & Process Systems Engineering, ETH Zurich, 8092 Zurich, Switzerland; 2cological Systems Design, ETH Zurich, 8093 Zurich, Switzerland (15 minutes)
Using Large Language Models to Predict Manufacturing Processes for Mechanically Engineered Products and Fill Data Gaps in Prospective LCA 1Corporate Sector Research and Advance Engineering, Robert Bosch GmbH, Robert-Bosch-Campus 1, Renningen, 71272, Germany; 2Ecological Resource Technology, University of Bayreuth, Universitätsstr. 30, 95447, Bayreuth, Germany (Short Oral + Poster)
Data lakes for CCF and PCF assessments – Automated approach for organizations iPoint systems gmbh, Germany (6 minutes)
Harnessing AI for EPD Business Intelligence: Transforming Data into Actionable Insights at Holcim Holcim Innovation Center, France (6 minutes)
Leveraging Semantic Technologies for Knowledge Modeling in Life Cycle Management 1Luxembourg Institute of Science and Technology, Luxembourg; 2Institute of Environmental Sciences, at Leiden University (Short Oral + Poster)
Development of a Smart Digital System for Carbon Management at Macau University of Science and Technology Macau University of Science and Technology, Macau S.A.R. (China) (Short Oral + Poster)
Key Developments to Unlock the Full Potential of Artificial Intelligence in Life Cycle Assessment Empa, Lerchenfeldstrasse 5, 9014 St. Gallen, Switzerland |