Lauren Takahashi
Cited by
Cited by
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
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
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
Low temperature pollutant trapping and dissociation over two-dimensional tin
L Takahashi, K Takahashi
Physical Chemistry Chemical Physics 17 (33), 21394-21396, 2015
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
Descriptors for predicting the lattice constant of body centered cubic crystal
K Takahashi, L Takahashi, JD Baran, Y Tanaka
The Journal of chemical physics 146 (20), 204104, 2017
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
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
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
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
Designing square two-dimensional gold and platinum
K Takahashi, T Hussain, L Takahashi, JD Baran
Crystal Growth & Design 16 (3), 1746-1750, 2016
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
Data driven determination in growth of silver from clusters to nanoparticles and bulk
K Takahashi, L Takahashi
The Journal of Physical Chemistry Letters 10 (14), 4063-4068, 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
Structural stability and electronic properties of an octagonal allotrope of two dimensional boron nitride
L Takahashi, K Takahashi
Dalton Transactions 46 (13), 4259-4264, 2017
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
Visualizing Scientists’ Cognitive Representation of Materials Data through the Application of Ontology
L Takahashi, K Takahashi
The Journal of Physical Chemistry Letters 10 (23), 7482-7491, 2019
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
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
Designing Mg7 cluster-assembled two dimensional crystal
L Takahashi, K Takahashi
FlatChem 1, 57-59, 2017
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