Search Results - "Matsumura, Tarojiro"

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  1. 1

    Maximum a posteriori estimation for high-throughput peak fitting in X-ray photoelectron spectroscopy by Matsumura, Tarojiro, Nagamura, Naoka, Akaho, Shotaro, Nagata, Kenji, Ando, Yasunobu

    “…We introduce a peak fitting method to estimate the model parameters and the number of peaks without using the conventional trial-and-error approach. The…”
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    Journal Article
  2. 2

    High-throughput XPS spectrum modeling with autonomous background subtraction for 3d5/2 peak mapping of SnS by Tarojiro Matsumura, Naoka Nagamura, Shotaro Akaho, Kenji Nagata, Yasunobu Ando

    “…We propose a fitting model that automatically conducts the background subtraction during high-throughput peak fitting. The fitting model consists of the…”
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    Journal Article
  3. 3

    Spectrum adapted expectation-maximization algorithm for high-throughput peak shift analysis by Matsumura, Tarojiro, Nagamura, Naoka, Akaho, Shotaro, Nagata, Kenji, Ando, Yasunobu

    “…We introduce a spectrum-adapted expectation-maximization (EM) algorithm for high-throughput analysis of a large number of spectral datasets by considering the…”
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  4. 4

    Application of the inverse Batschelet distribution to measuring the preferred orientation of tourmaline grains by Matsumura, Tarojiro, Kuwatani, Tatsu, Ando, Yasunobu, Masuda, Toshiaki

    Published in Journal of structural geology (01-09-2018)
    “…We have used the inverse Batschelet distribution to perform a statistical analysis of mineral lineation defined by the preferred orientation of tourmaline…”
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  5. 5

    Statistical model selection between elastic and Newtonian viscous matrix models for the microboudin palaeopiezometer by Matsumura, Tarojiro, Kuwatani, Tatsu, Masuda, Toshiaki

    Published in Earth, planets, and space (22-06-2017)
    “…We carried out statistical evaluations of two probability density functions for the microboudin palaeopiezometer using the Akaike information criterion (AIC)…”
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  6. 6

    Growth of MoS2–Nb-doped MoS2 lateral homojunctions: A monolayer p–n diode by substitutional doping by Okada, Mitsuhiro, Nagamura, Naoka, Matsumura, Tarojiro, Ando, Yasunobu, Lu, Anh Khoa Augustin, Okada, Naoya, Chang, Wen-Hsin, Nakanishi, Takeshi, Shimizu, Tetsuo, Kubo, Toshitaka, Irisawa, Toshifumi, Yamada, Takatoshi

    Published in APL materials (01-12-2021)
    “…Monolayer transition metal dichalcogenides (TMDs) have been considered as promising materials for various next-generation semiconductor devices. However,…”
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  7. 7

    Spectrum adapted expectation-conditional maximization algorithm for extending high–throughput peak separation method in XPS analysis by Matsumura, Tarojiro, Nagamura, Naoka, Akaho, Shotaro, Nagata, Kenji, Ando, Yasunobu

    “…We introduced the spectrum-adapted expectation-conditional maximization (ECM) algorithm to improve the efficiency of the peak fitting of spectral data by…”
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  8. 8

    Machine Learning Approach for Prediction of Reaction Yield with Simulated Catalyst Parameters by Yada, Akira, Nagata, Kenji, Ando, Yasunobu, Matsumura, Tarojiro, Ichinoseki, Sakina, Sato, Kazuhiko

    Published in Chemistry letters (01-01-2018)
    “…Prediction of reaction yields by machine learning approach is demonstrated in tungsten-catalyzed epoxidation of alkenes. The various electronic and vibrational…”
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  9. 9

    Machine Learning Approach for Prediction of Reaction Yield with Simulated Catalyst Parameters by Yada, Akira, Nagata, Kenji, Ando, Yasunobu, Matsumura, Tarojiro, Ichinoseki, Sakina, Sato, Kazuhiko

    Published in Chemistry letters (05-03-2018)
    “…Prediction of reaction yields by machine learning approach is demonstrated in tungsten-catalyzed epoxidation of alkenes. The various electronic and vibrational…”
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    Journal Article
  10. 10

    High-Throughput Calibration-Free Laser-Induced Breakdown Spectroscopy by Matsumura, Tarojiro, Takahashi, Tomoko, Nagata, Kenji, Ando, Yasunobu, Yada, Akira, Thornton, Blair, Kuwatani, Tatsu

    Published in ACS earth and space chemistry (20-06-2024)
    “…Laser-induced breakdown spectroscopy (LIBS) offers a noninvasive, label-free technique for chemical analysis in challenging environments, including for…”
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    Journal Article
  11. 11