| 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 | 162 | 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 | 98 | 2019 |
| 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 | 49 | 2021 |
| Multidimensional classification of catalysts in oxidative coupling of methane through machine learning and high-throughput data K Takahashi, L Takahashi, TN Nguyen, A Thakur, T Taniike The Journal of Physical Chemistry Letters 11 (16), 6819-6826, 2020 | 34 | 2020 |
| Constructing catalyst knowledge networks from catalyst big data in oxidative coupling of methane for designing catalysts L Takahashi, TN Nguyen, S Nakanowatari, A Fujiwara, T Taniike, ... Chemical Science 12 (38), 12546-12555, 2021 | 23 | 2021 |
| Extraction of catalyst design heuristics from random catalyst dataset and their utilization in catalyst development for oxidative coupling of methane S Nakanowatari, TN Nguyen, H Chikuma, A Fujiwara, K Seenivasan, ... ChemCatChem 13 (14), 3262-3269, 2021 | 22 | 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 |
| Photodegradation of a semi-aromatic bio-derived polyimide ATM Mai, A Thakur, NNT Ton, TN Nguyen, T Kaneko, T Taniike Polymer Degradation and Stability 184, 109472, 2021 | 16 | 2021 |
| 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 | 15 | 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 | 12 | 2021 |
| Factors to influence low-temperature performance of supported Mn–Na2WO4 in oxidative coupling of methane TN Nguyen, K Seenivasan, S Nakanowatari, P Mohan, TPN Tran, ... Molecular Catalysis 516, 111976, 2021 | 10 | 2021 |
| Exploration of ethanol-to-butadiene catalysts by high-throughput experimentation and machine learning TP Jayakumar, SPS Babu, TN Nguyen, SD Le, RP Manchan, P Phulkerd, ... Applied Catalysis A: General 666, 119427, 2023 | 7 | 2023 |
| Unveiling gas‐phase oxidative coupling of methane via data analysis S Ishioka, I Miyazato, L Takahashi, TN Nguyen, T Taniike, K Takahashi Journal of Computational Chemistry 42 (20), 1447-1451, 2021 | 6 | 2021 |
| Tailoring graphene oxide framework with N-and S-containing organic ligands for the confinement of Pd nanoparticles towards recyclable catalyst systems TPN Tran, TN Nguyen, T Taniike, S Nishimura Catalysis Letters 151, 247-254, 2021 | 5 | 2021 |
| Catalyst Informatics for Oxidative Coupling of Methane TN Nguyen, TTP Nhat, K Takimoto, A Thakur, S Nishimura, J Ohyama, ... Acs Catal 10, 921-932, 2020 | 5 | 2020 |
