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BIGDML—Towards accurate quantum machine learning force fields for materials | Nature Communications
The 2 Best Sewing Machines of 2023 | Reviews by Wirecutter
Correlator convolutional neural networks as an interpretable architecture for image-like quantum matter data | Nature Communications
Qubit-efficient encoding schemes for binary optimisation problems – Quantum
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Machine Learning for Computational Heterogeneous Catalysis - Schlexer Lamoureux - 2019 - ChemCatChem - Wiley Online Library
Frontiers | Applications and Techniques for Fast Machine Learning in Science
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A trusted node–free eight-user metropolitan quantum communication network | Science Advances
Kilian Weinberger and Cornell Research Team Harness Machine Learning to Analyze Quantum Material | Department of Computer Science
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