Lauren Takahashi

Scopus Author ID ORCID

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 17

Top Venues

The journal of physical chemistry letters

Chemical communications (Cambridge, England)

Physical chemistry chemical physics : PCCP

Chemical science

Hokkaido University

University of Tokyo (PHD)

This page only lists publications with an associated author ORCID identifier.

Affiliation History

Hokkaido University Jun 01 2019

Japan

Research Fellow :: Chemistry

National Institute for Materials Science (NIMS) Jan 01 2018

Japan

Off-site Researcher :: Center for Materials research by Information Integration

Education History

University of Tokyo Jan 01 2019 - Jan 30 2020

Japan

PHD :: Engineering

University of Gothenburg Aug 20 2010 - Oct 28 2011

Sweden

MSC :: Applied IT

Publications

Keisuke Takahashi, Junya Ohyama, Shun Nishimura, Jun Fujima, Lauren Takahashi, Takeaki Uno, Toshiaki Taniike
Catalysts informatics: paradigm shift towards data-driven catalyst design. Chemical communications (Cambridge, England) (2023)
Keisuke Takahashi, Lauren Takahashi
Toward the Golden Age of Materials Informatics: Perspective and Opportunities. The journal of physical chemistry letters (2023)
Keisuke Takahashi, Junya Ohyama, Shun Nishimura, Jun Fujima, Lauren Takahashi, Takeaki Uno, Toshiaki Taniike
Catalysts informatics: paradigm shift towards data-driven catalyst design. Chemical communications (Cambridge, England) 59 (16) (2023)
Keisuke Takahashi, Junya Ohyama, Shun Nishimura, Jun Fujima, Lauren Takahashi, Takeaki Uno, Toshiaki Taniike
Catalysts informatics: paradigm shift towards data-driven catalyst design. Chemical communications (Cambridge, England) 59 (16) (2023)
Lauren Takahashi, Shigehiro Yoshida, Jun Fujima, Hiroshi Oikawa, Keisuke Takahashi
Unveiling the reaction pathways of hydrocarbons via experiments, computations and data science. Physical chemistry chemical physics : PCCP (2022)
Keisuke Takahashi, Lauren Takahashi, Son Dinh Le, Takaaki Kinoshita, Shun Nishimura, Junya Ohyama
Synthesis of Heterogeneous Catalysts in Catalyst Informatics to Bridge Experiment and High-Throughput Calculation. Journal of the American Chemical Society 144 (34) (2022)
Sora Ishioka, Itsuki Miyazato, Lauren Takahashi, Thanh Nhat Nguyen, Toshiaki Taniike, Keisuke Takahashi
Unveiling gas-phase oxidative coupling of methane via data analysis. Journal of computational chemistry 42 (20) (2021)
Keisuke Takahashi, Jun Fujima, Itsuki Miyazato, Sunao Nakanowatari, Aya Fujiwara, Thanh Nhat Nguyen, Toshiaki Taniike, Lauren Takahashi
Catalysis Gene Expression Profiling: Sequencing and Designing Catalysts. The journal of physical chemistry letters 12 (30) (2021)
Itsuki Miyazato, Thanh Nhat Nguyen, Lauren Takahashi, Toshiaki Taniike, Keisuke Takahashi
Representing Catalytic and Processing Space in Methane Oxidation Reaction via Multioutput Machine Learning. The journal of physical chemistry letters 12 (2) (2021)
Lauren Takahashi, Thanh Nhat Nguyen, Sunao Nakanowatari, Aya Fujiwara, Toshiaki Taniike, Keisuke Takahashi
Constructing catalyst knowledge networks from catalyst big data in oxidative coupling of methane for designing catalysts. Chemical science 12 (38) (2021)
Lauren Takahashi, Junya Ohyama, Shun Nishimura, Keisuke Takahashi
Representing the Methane Oxidation Reaction via Linking First-Principles Calculations and Experiment with Graph Theory. The journal of physical chemistry letters 12 (1) (2020)
Keisuke Takahashi, Lauren Takahashi, Thanh Nhat Nguyen, Ashutosh Thakur, Toshiaki Taniike
Multidimensional Classification of Catalysts in Oxidative Coupling of Methane through Machine Learning and High-Throughput Data. The journal of physical chemistry letters 11 (16) (2020)
Itsuki Miyazato, Shun Nishimura, Lauren Takahashi, Junya Ohyama, Keisuke Takahashi
Data-Driven Identification of the Reaction Network in Oxidative Coupling of the Methane Reaction via Experimental Data. The journal of physical chemistry letters 11 (3) (2020)
Lauren Takahashi, Keisuke Takahashi
Visualizing Scientists' Cognitive Representation of Materials Data through the Application of Ontology. The journal of physical chemistry letters 10 (23) (2019)
Keisuke Takahashi, Lauren Takahashi
Creating Machine Learning-Driven Material Recipes Based on Crystal Structure. The journal of physical chemistry letters 10 (2) (2019)
Keisuke Takahashi, Lauren Takahashi
Data Driven Determination in Growth of Silver from Clusters to Nanoparticles and Bulk. The journal of physical chemistry letters 10 (14) (2019)
Lauren Takahashi, Itsuki Miyazato, Keisuke Takahashi
Redesigning the Materials and Catalysts Database Construction Process Using Ontologies. Journal of chemical information and modeling 58 (9) (2018)

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Publication Activity (10 Years)

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Lauren Takahashi