| High-throughput experimentation and catalyst informatics for oxidative coupling of methane TN Nguyen, TTP Nhat, K Takimoto, A Thakur, S Nishimura, J Ohyama, ... Acs Catalysis 10 (2), 921-932, 2019 | 144 | 2019 |
| The rise of catalyst informatics: towards catalyst genomics K Takahashi, L Takahashi, I Miyazato, J Fujima, Y Tanaka, T Uno, ... ChemCatChem 11 (4), 1146-1152, 2019 | 90 | 2019 |
| Searching for hidden perovskite materials for photovoltaic systems by combining data science and first principle calculations K Takahashi, L Takahashi, I Miyazato, Y Tanaka ACS Photonics 5 (3), 771-775, 2018 | 84 | 2018 |
| Unveiling hidden catalysts for the oxidative coupling of methane based on combining machine learning with literature data K Takahashi, I Miyazato, S Nishimura, J Ohyama ChemCatChem 10 (15), 3223-3228, 2018 | 83 | 2018 |
| Rapid estimation of activation energy in heterogeneous catalytic reactions via machine learning K Takahashi, I Miyazato Journal of computational chemistry 39 (28), 2405-2408, 2018 | 62 | 2018 |
| Accelerating the discovery of hidden two-dimensional magnets using machine learning and first principle calculations I Miyazato, Y Tanaka, K Takahashi Journal of Physics: Condensed Matter 30 (6), 06LT01, 2018 | 34 | 2018 |
| Catalyst Acquisition by Data Science (CADS): a web-based catalyst informatics platform for discovering catalysts J Fujima, Y Tanaka, I Miyazato, L Takahashi, K Takahashi Reaction Chemistry & Engineering 5 (5), 903-911, 2020 | 33 | 2020 |
| Automatic oxidation threshold recognition of XAFS data using supervised machine learning I Miyazato, L Takahashi, K Takahashi Molecular Systems Design & Engineering 4 (5), 1014-1018, 2019 | 29 | 2019 |
| Direct design of active catalysts for low temperature oxidative coupling of methane via machine learning and data mining J Ohyama, T Kinoshita, E Funada, H Yoshida, M Machida, S Nishimura, ... Catalysis Science & Technology 11 (2), 524-530, 2021 | 24 | 2021 |
| Data science assisted investigation of catalytically active copper hydrate in zeolites for direct oxidation of methane to methanol using H2O2 J Ohyama, A Hirayama, N Kondou, H Yoshida, M Machida, S Nishimura, ... Scientific Reports 11 (1), 2067, 2021 | 23 | 2021 |
| Data-driven identification of the reaction network in oxidative coupling of the methane reaction via experimental data I Miyazato, S Nishimura, L Takahashi, J Ohyama, K Takahashi The journal of physical chemistry letters 11 (3), 787-795, 2020 | 23 | 2020 |
| Redesigning the materials and catalysts database construction process using ontologies L Takahashi, I Miyazato, K Takahashi Journal of chemical information and modeling 58 (9), 1742-1754, 2018 | 22 | 2018 |
| Catalytic direct oxidation of methane to methanol by redox of copper mordenite J Ohyama, A Hirayama, Y Tsuchimura, N Kondou, H Yoshida, M Machida, ... Catalysis Science & Technology 11 (10), 3437-3446, 2021 | 21 | 2021 |
| Direct Design of Catalysts in Oxidative Coupling of Methane via High‐Throughput Experiment and Deep Learning K Sugiyama, TN Nguyen, S Nakanowatari, I Miyazato, T Taniike, ... ChemCatChem 13 (3), 952-957, 2021 | 18 | 2021 |
| Controlling electronic structure of single-layered (, Se) trichalcogenides through systematic Zr doping I Miyazato, S Sarikurt, K Takahashi, F Ersan Journal of Materials Science 55, 660-669, 2020 | 14 | 2020 |
| Catalysis gene expression profiling: sequencing and designing catalysts K Takahashi, J Fujima, I Miyazato, S Nakanowatari, A Fujiwara, ... The Journal of Physical Chemistry Letters 12 (30), 7335-7341, 2021 | 13 | 2021 |
| Representing catalytic and processing space in methane oxidation reaction via multioutput machine learning I Miyazato, TN Nguyen, L Takahashi, T Taniike, K Takahashi The Journal of Physical Chemistry Letters 12 (2), 808-814, 2021 | 11 | 2021 |
| High-throughput screening and literature data-driven machine learning-assisted investigation of multi-component La 2 O 3-based catalysts for the oxidative coupling of methane S Nishimura, SD Le, I Miyazato, J Fujima, T Taniike, J Ohyama, ... Catalysis Science & Technology 12 (9), 2766-2774, 2022 | 10 | 2022 |
| Designing two-dimensional dodecagonal boron nitride H Suzuki, I Miyazato, T Hussain, F Ersan, S Maeda, K Takahashi CrystEngComm 24 (3), 471-474, 2022 | 10 | 2022 |
| Transition of wide-band gap semiconductor h-BN (BN)/P heterostructure via single-atom-embedding I Miyazato, T Hussain, K Takahashi Journal of Materials Chemistry C 8 (28), 9755-9762, 2020 | 7 | 2020 |
Keisuke TakahashiHokkaido UniversityVerified email at sci.hokudai.ac.jp
