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Field
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neural networks is highly debated at the moment in all areas of deep learning. In this project, you will work on a theoretical framework which will help to better understand these questions in the context
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methodology that develops physics-informed graph neural networks (GNNs) for composite space structure analysis. The methodology will aim to leverage the inherent structure of composite materials, embedding
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Neural Network Potential to Meet your Neutral, Charged, Organic, and Elemental-Organic Needs. ChemRxiv2024,. doi:10.26434/chemrxiv-2023-296ch-v3Zhang, S.; Makoś, M. Z.; Jadrich, R. B.; Kraka, E.; Barros, K
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for single-cell data analysis to understand the development of neural circuits in the mammalian brain in health and disease. Developmental Neurogenomics – Michael Ratz's Group | Karolinska Institutet