Found: 23
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Rational partitioning of spectral feature space for effective clustering of massive spectral image data.
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- Scientific Reports, 2024, v. 14, n. 1, p. 1, doi. 10.1038/s41598-024-74016-0
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- Article
Extraction of Physical Parameters from X-ray Spectromicroscopy Data Using Machine Learning.
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- 2018
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- Abstract
Optimal Design of Experiment for X-Ray Spectromicroscopy by Machine Learning.
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- 2018
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- Abstract
Machine Learning-based Crystal Structure Prediction for X-Ray Microdiffraction.
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- 2018
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- Abstract
Extraction of Physical Parameters from X-ray Spectromicroscopy Data Using Machine Learning.
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- 2018
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- Abstract
Machine Learning-based Crystal Structure Prediction for X-Ray Microdiffraction.
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- 2018
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- Abstract
Optimal Design of Experiment for X-Ray Spectromicroscopy by Machine Learning.
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- 2018
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- Abstract
Nano-Materials Design for High- T<sub>C</sub> Ferromagnets of Ti<sub>1-x</sub>Co<sub>x</sub>O<sub>2</sub> Nanosheets.
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- International Journal of Applied Ceramic Technology, 2012, v. 9, n. 5, p. 936, doi. 10.1111/j.1744-7402.2012.02783.x
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- Article
Controlled Polarizability of One-Nanometer-Thick Oxide Nanosheets for Tailored, High- κ Nanodielectrics.
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- Advanced Functional Materials, 2011, v. 21, n. 18, p. 3482, doi. 10.1002/adfm.201100580
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- Article
Characteristic two-dimensional Fermi surface topology of high-T<sub>c</sub> iron-based superconductors.
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- Scientific Reports, 2014, p. 1, doi. 10.1038/srep04381
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- Article
Characteristic two-dimensional Fermi surface topology of high-T<sub>c</sub> iron-based superconductors.
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- Scientific Reports, 2014, p. 1, doi. 10.1038/srep04381
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- Article
Automated stopping criterion for spectral measurements with active learning.
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- NPJ Computational Materials, 2021, v. 7, n. 1, p. 1, doi. 10.1038/s41524-021-00606-5
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- Article
Accelerating small-angle scattering experiments on anisotropic samples using kernel density estimation.
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- Scientific Reports, 2019, v. 9, n. 1, p. 1, doi. 10.1038/s41598-018-37345-5
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- Article
Automated crystal structure analysis based on blackbox optimisation.
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- NPJ Computational Materials, 2020, v. 6, n. 1, p. 1, doi. 10.1038/s41524-020-0330-9
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- Article
Automated estimation of materials parameter from X-ray absorption and electron energy-loss spectra with similarity measures.
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- NPJ Computational Materials, 2019, v. 5, n. 1, p. N.PAG, doi. 10.1038/s41524-019-0176-1
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- Article
Adaptive design of an X-ray magnetic circular dichroism spectroscopy experiment with Gaussian process modelling.
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- NPJ Computational Materials, 2018, v. 4, n. 1, p. N.PAG, doi. 10.1038/s41524-017-0057-4
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- Article
Formulation of energy loss due to magnetostriction to design ultraefficient soft magnets.
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- NPG Asia Materials, 2024, v. 16, n. 1, p. 1, doi. 10.1038/s41427-024-00538-8
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- Article
Application of Machine Learning Methods to Neutron Transmission Spectroscopic Imaging for Solid–Liquid Phase Fraction Analysis.
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- Applied Sciences (2076-3417), 2021, v. 11, n. 13, p. 5988, doi. 10.3390/app11135988
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- Article
Symmetry prediction and knowledge discovery from X-ray diffraction patterns using an interpretable machine learning approach.
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- Scientific Reports, 2020, v. 10, n. 1, p. 1, doi. 10.1038/s41598-020-77474-4
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- Article
Role of magnetostriction on power losses in nanocrystalline soft magnets.
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- NPG Asia Materials, 2022, v. 14, n. 1, p. 1, doi. 10.1038/s41427-022-00388-2
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- Article
Relationship between magnetic nucleation and the microstructure of a hot-deformed permanent magnet: micromagnetic simulation.
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- NPG Asia Materials, 2020, v. 12, n. 1, p. 1, doi. 10.1038/s41427-020-0210-2
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- Article
Relationship between magnetic nucleation and the microstructure of a hot-deformed permanent magnet: micromagnetic simulation.
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- NPG Asia Materials, 2020, v. 12, n. 1, p. 1, doi. 10.1038/s41427-020-0210-2
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- Article
Multiple magnetic scattering in small-angle neutron scattering of Nd-Fe-B nanocrystalline magnet.
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- Scientific Reports, 2016, p. 28167, doi. 10.1038/srep28167
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- Article