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Journal of Computational Chemistry|October 29, 2018
Rapid estimation of activation energy in heterogeneous catalytic reactions via machine learningKeisuke Takahashi, Itsuki Miyazato
Journal of Chemical Information and Modeling|August 4, 2018
Redesigning the Materials and Catalysts Database Construction Process Using OntologiesLauren Takahashi, Itsuki Miyazato, Keisuke Takahashi
The Journal of Physical Chemistry. A|February 5, 2020
Rising Sun Envelope Method: An Automatic and Accurate Peak Location Technique for XANES MeasurementsRafael Monteiro, Itsuki Miyazato, Keisuke Takahashi
Journal of Physics. Condensed Matter : an Institute of Physics Journal|December 30, 2017
Accelerating the discovery of hidden two-dimensional magnets using machine learning and first principle calculationsItsuki Miyazato, Yuzuru Tanaka, Keisuke Takahashi
Plos One|May 17, 2022
Designing transformer oil immersion cooling servers for machine learning and first principle calculationsKeisuke Takahashi, Itsuki Miyazato, Satoshi Maeda, et al.
The Journal of Physical Chemistry Letters|January 16, 2020
Data-Driven Identification of the Reaction Network in Oxidative Coupling of the Methane Reaction via Experimental DataItsuki Miyazato, Shun Nishimura, Lauren Takahashi, et al.
The Journal of Physical Chemistry Letters|January 8, 2021
Representing Catalytic and Processing Space in Methane Oxidation Reaction via Multioutput Machine LearningItsuki Miyazato, Thanh Nhat Nguyen, Lauren Takahashi, et al.
Journal of Computational Chemistry|May 21, 2021
Unveiling gas-phase oxidative coupling of methane via data analysisSora Ishioka, Itsuki Miyazato, Lauren Takahashi, et al.
The Journal of Physical Chemistry Letters|July 30, 2021
Catalysis Gene Expression Profiling: Sequencing and Designing CatalystsKeisuke Takahashi, Jun Fujima, Itsuki Miyazato, et al.
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