Itsuki Miyazato

发表

Exploration of novel two dimensional materials by using first principle calculation and materials informatics approach

Itsuki Miyazato, 2019 .

Catalytic direct oxidation of methane to methanol by redox of copper mordenite

M. Machida, S. Nishimura, Kazuo Kato, 2021 .

Data science assisted investigation of catalytically active copper hydrate in zeolites for direct oxidation of methane to methanol using H2O2

M. Machida, S. Nishimura, Itsuki Miyazato, 2021, Scientific Reports.

Controlling electronic structure of single-layered $${\hbox {HfX}}_{3}$$HfX3 ($$\hbox {X=S}$$X=S, Se) trichalcogenides through systematic Zr doping

S. Sarikurt, F. Ersan, Itsuki Miyazato, 2019, Journal of Materials Science.

Catalyst Acquisition by Data Science (CADS): a web-based catalyst informatics platform for discovering catalysts

Itsuki Miyazato, Yuzuru Tanaka, Lauren Takahashi, 2020 .

The Rise of Catalyst Informatics: Towards Catalyst Genomics

Yuzuru Tanaka, Takeaki Uno, Jun Fujima, 2019, ChemCatChem.

Machine Learning-Aided Catalyst Modification in Oxidative Coupling of Methane via Manganese Promoter

S. Nishimura, Itsuki Miyazato, Toshiaki Taniike, 2022, Industrial & Engineering Chemistry Research.

Transition of wide-band gap semiconductor h-BN(BN)/P heterostructure via single-atom-embedding

T. Hussain, Itsuki Miyazato, Keisuke Takahashi, 2020 .

Unveiling gas‐phase oxidative coupling of methane via data analysis

Thanh Nhat Nguyen, Itsuki Miyazato, Keisuke Takahashi, 2021, J. Comput. Chem..

High-Throughput Experimentation and Catalyst Informatics for Oxidative Coupling of Methane

Itsuki Miyazato, Toshiaki Taniike, Ken Takimoto, 2020, ACS Catalysis.

Redesigning the Materials and Catalysts Database Construction Process Using Ontologies

Itsuki Miyazato, Keisuke Takahashi, Lauren Takahashi, 2018, J. Chem. Inf. Model..

Accelerating the discovery of hidden two-dimensional magnets using machine learning and first principle calculations

Itsuki Miyazato, Yuzuru Tanaka, Keisuke Takahashi, 2017, Journal of physics. Condensed matter : an Institute of Physics journal.

Rapid estimation of activation energy in heterogeneous catalytic reactions via machine learning

Itsuki Miyazato, Keisuke Takahashi, Itsuki Miyazato, 2018, J. Comput. Chem..

The Rising Sun Envelope Method: An Automatic and Accurate Peak Location Technique for XANES Measurements.

Rafael Monteiro, Itsuki Miyazato, Keisuke Takahashi, 2019, The journal of physical chemistry. A.

Searching for Hidden Perovskite Materials for Photovoltaic Systems by Combining Data Science and First Principle Calculations

Itsuki Miyazato, Lauren Takahashi, Keisuke Takahashi, 2018 .

Electronic structure of boron based single and multi-layer two dimensional materials

Itsuki Miyazato, Keisuke Takahashi, 2017 .

Automatic oxidation threshold recognition of XAFS data using supervised machine learning

Itsuki Miyazato, Keisuke Takahashi, Lauren Takahashi, 2019, Molecular Systems Design & Engineering.

Controlling electronic structure of single-layered HfX3 (X=S, Se) trichalcogenides through systematic Zr doping

S. Sarikurt, F. Ersan, Itsuki Miyazato, 2019 .

Data-Driven Identification of Reaction Network in Oxidative Coupling of Methane Reaction via Experimental Data.

S. Nishimura, Itsuki Miyazato, Keisuke Takahashi, 2020, The journal of physical chemistry letters.

Unveiling Hidden Catalysts for the Oxidative Coupling of Methane based on Combining Machine Learning with Literature Data

Itsuki Miyazato, Shun Nishimura, Junya Ohyama, 2018, ChemCatChem.

Direct design of active catalysts for low temperature oxidative coupling of methane via machine learning and data mining

T. Uno, M. Machida, J. Fujima, 2021, Catalysis Science & Technology.