| 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 | 126 | 2019 |
| Materials informatics: a journey towards material design and synthesis K Takahashi, Y Tanaka Dalton Transactions 45 (26), 10497-10499, 2016 | 106 | 2016 |
| 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 | 84 | 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 | 82 | 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 | 77 | 2018 |
| Material synthesis and design from first principle calculations and machine learning K Takahashi, Y Tanaka Computational materials science 112, 364-367, 2016 | 64 | 2016 |
| Graphene decorated with Fe nanoclusters for improving the hydrogen sorption kinetics of MgH 2–experimental and theoretical evidence MSL Hudson, K Takahashi, A Ramesh, S Awasthi, AK Ghosh, ... Catalysis Science & Technology 6 (1), 261-268, 2016 | 58 | 2016 |
| 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 | 55 | 2018 |
| Data driven determination of reaction conditions in oxidative coupling of methane via machine learning J Ohyama, S Nishimura, K Takahashi ChemCatChem 11 (17), 4307-4313, 2019 | 43 | 2019 |
| Creating machine learning-driven material recipes based on crystal structure K Takahashi, L Takahashi The journal of physical chemistry letters 10 (2), 283-288, 2019 | 42 | 2019 |
| Reversible Hydrogen Uptake by BN and BC3 Monolayers Functionalized with Small Fe Clusters: A Route to Effective Energy Storage T Hussain, DJ Searles, K Takahashi The Journal of Physical Chemistry A 120 (12), 2009-2013, 2016 | 38 | 2016 |
| Learning catalyst design based on bias-free data set for oxidative coupling of methane TN Nguyen, S Nakanowatari, TP Nhat Tran, A Thakur, L Takahashi, ... ACS Catalysis 11 (3), 1797-1809, 2021 | 37 | 2021 |
| Low temperature pollutant trapping and dissociation over two-dimensional tin L Takahashi, K Takahashi Physical Chemistry Chemical Physics 17 (33), 21394-21396, 2015 | 36 | 2015 |
| 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 | 30 | 2020 |
| 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 | 30 | 2018 |
| The catalytic effect of Nb, NbO and Nb2O5 with different surface planes on dehydrogenation in MgH2: Density functional theory study K Takahashi, S Isobe, S Ohnuki Journal of alloys and compounds 580, S25-S28, 2013 | 29 | 2013 |
| 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 | 28 | 2019 |
| Revealing the multibonding state between hydrogen and graphene-supported Ti clusters K Takahashi, S Isobe, K Omori, T Mashoff, D Convertino, V Miseikis, ... The Journal of Physical Chemistry C 120 (24), 12974-12979, 2016 | 28 | 2016 |
| Revisiting machine learning predictions for oxidative coupling of methane (OCM) based on literature data S Nishimura, J Ohyama, T Kinoshita, S Dinh Le, K Takahashi ChemCatChem 12 (23), 5888-5892, 2020 | 27 | 2020 |
| Aryl fluoride functionalized graphene oxides for excellent room temperature ammonia sensitivity/selectivity F Khurshid, M Jeyavelan, K Takahashi, MSL Hudson, S Nagarajan RSC advances 8 (36), 20440-20449, 2018 | 27 | 2018 |
Lauren TakahashiHokkaido UniversityVerified email at sci.hokudai.ac.jp
