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11:00
Nami Matsubara (KTH) – Neutron Diffraction and Battery Materials
Speaker: Nami Matsubara (KTH) Title: Neutron Diffraction and Battery Materials Time: 11am CEST Zoom id: https://kth-se.zoom.us/j/61941862292 Abstract: Increasing demand for high performance, low-cost, lightweight and long-life batteries, it is essential to optimise the performance of current materials and discover new candidate compounds for future batteries. In order to improve the property o materials, a detailed investigation … Continue reading " Nami Matsubara (KTH) – Neutron Diffraction and Battery Materials"
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Michele Ceriotti – Symmetry, locality and long-range interactions in atomistic machine learning
Symmetry, locality and long-range interactions in atomistic machine learning ================================================= Machine learning models are proving to be extremely effective in predicting the properties of atomistic configurations of matter, circumventing the need for time consuming electronic structure calculations. The most succesful schemes achieve transferability by means of a local representation of structures, in which the problem … Continue reading "Michele Ceriotti – Symmetry, locality and long-range interactions in atomistic machine learning"
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