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Automated odor-blending with one-pot Bayesian optimization
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Improving efficiency of autonomous material search via transfer learning from nontarget properties
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Efficient autonomous material search method combining ab initio calculations, autoencoder, and multi-objective Bayesian optimization
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Process parameters and magnetic properties (coercivity, remanence, squareness, maximum energy product) of data-driven fabrication of Nd-Fe-B anisotropic magnets by direct hot extrusion.
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Prediction and optimization of epoxy adhesive strength from a small dataset through active learning
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Machine Learning-Based Experimental Design in Materials Science
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