#energy-modeling News & Analysis

2 articles tagged with #energy-modeling. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles

AINeutralarXiv – CS AI · May 125/10

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Crystal Fractional Graph Neural Network for Energy Prediction of High-Entropy Alloys

Researchers have developed a crystal fractional graph neural network that combines graph neural networks with compositional embeddings to predict the energy of high-entropy alloys, achieving accuracy comparable to first-principles calculations on a dataset of over 1,000 crystal structures. The hybrid architecture addresses a key challenge in materials science by integrating local atomic interactions and global elemental composition, though scalability limitations for larger crystal systems remain.

AIBullisharXiv – CS AI · Apr 106/10

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Synthetic Homes: A Multimodal Generative AI Pipeline for Residential Building Data Generation under Data Scarcity

Researchers developed a multimodal generative AI pipeline that creates synthetic residential building datasets from publicly available county records and images, addressing critical data scarcity challenges in building energy modeling. The system achieves over 65% overlap with national reference data, enabling scalable energy research and urban simulations without relying on expensive or privacy-restricted datasets.