The current generation of large language models (LLMs) has limited chemical knowledge. Recently, it has been shown that these LLMs can learn and predict chemical properties through fine-tuning. Using natural language to train machine learning models opens doors to a wider chemical audience, as field-specific…
Erschienen: The Royal Society of Chemistry, 2024-11-22
The use of pyrolyzed carbon fibers (pCFs) in the secondary raw material market is growing, but potential applications for pCFs are limited by their wool-like appearance. Common solutions are further processing into fiber mats or shredding and adding the fibers during compounding in twin-screw extruders…
In a rapidly evolving global landscape, education stands as a linchpin for navigating complex challenges and fostering sustainable development. This article delves into the transformative potential of education, with a particular focus on insights gleaned from the KIDS4ALLL project. Rooted in contrasting…