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Seed project: Machine learning for predicting the mechanical properties of high performance oxynitride glasses This project aims to develop a machine learning (ML) model to predict the mechanical…
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Seed project: Development of machine-learning interatomic potentials for two-dimensional antiferromagnetic MnX and Janux XMnY (X, Y=S, Se, Te) We plan to develop machine-learning (ML) models on large…
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Seed project: Towards a data-driven approach to ground-fault location The main objective for this seed project within Linnaeus University Centre for Data Intensive Sciences and Applications (DISA) is…