Keisuke Takahashi

ResearcherID Scopus Author ID ORCID

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 36

Top Venues

The journal of physical chemistry letters

Journal of chemical information and modeling

Physical chemistry chemical physics : PCCP

Communications chemistry

Hokkaido Daigaku

Hokkaido Daigaku (PHD)

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

Affiliation History

Hokkaido Daigaku Jun 01 2019

Japan

Associate Professor :: Department of Chemistry

Education History

Hokkaido Daigaku Oct 01 2011 - Mar 25 2014

Japan

PHD :: Department of Engineering

Chalmers tekniska hogskola Sep 01 2009 - Jun 20 2011

Sweden

MSC :: Department of Engineering

Publications

Toshiaki Taniike, Aya Fujiwara, Sunao Nakanowatari, Fernando García-Escobar, Keisuke Takahashi
Automatic feature engineering for catalyst design using small data without prior knowledge of target catalysis. Communications chemistry 7 (1) (2024)
Tomoya Tashiro, Hajime Suzuki, Keisuke Takahashi
High-throughput calculation for the screening of formamidinium halide perovskite for solar cells. Physical chemistry chemical physics : PCCP 26 (19) (2024)
Fernando Garcia-Escobar, Toshiaki Taniike, Keisuke Takahashi
MonteCat: A Basin-Hopping-Inspired Catalyst Descriptor Search Algorithm for Machine Learning Models. Journal of chemical information and modeling 64 (5) (2024)
Fernando Garcia-Escobar, Toshiaki Taniike, Keisuke Takahashi
MonteCat: A Basin-Hopping-Inspired Catalyst Descriptor Search Algorithm for Machine Learning Models. Journal of chemical information and modeling (2024)
Fernando Garcia-Escobar, Toshiaki Taniike, Keisuke Takahashi
MonteCat: A Basin-Hopping-Inspired Catalyst Descriptor Search Algorithm for Machine Learning Models. Journal of chemical information and modeling 64 (5) (2024)
Toshiaki Taniike, Aya Fujiwara, Sunao Nakanowatari, Fernando García-Escobar, Keisuke Takahashi
Automatic feature engineering for catalyst design using small data without prior knowledge of target catalysis. Communications chemistry 7 (1) (2024)
Tomoya Tashiro, Hajime Suzuki, Keisuke Takahashi
High-throughput calculation for the screening of formamidinium halide perovskite for solar cells. Physical chemistry chemical physics : PCCP (2024)
Toshiaki Taniike, Aya Fujiwara, Sunao Nakanowatari, Fernando García-Escobar, Keisuke Takahashi
Automatic feature engineering for catalyst design using small data without prior knowledge of target catalysis. Communications chemistry 7 (1) (2024)
Fernando Garcia-Escobar, Toshiaki Taniike, Keisuke Takahashi
MonteCat: A Basin-Hopping-Inspired Catalyst Descriptor Search Algorithm for Machine Learning Models. Journal of chemical information and modeling 64 (5) (2024)
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)
Keisuke Takahashi, Itsuki Miyazato, Satoshi Maeda, Lauren Takahashi
Designing transformer oil immersion cooling servers for machine learning and first principle calculations. PloS one 17 (5) (2022)
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)
Abdo Hezam, Khaled Alkanad, Mohammed Abdullah Bajiri, Jennifer Strunk, Keisuke Takahashi, Qasem Ahmed Drmosh, Nabil Al-Zaqri, Lokanath Neratur Krishnappagowda
2D/1D MoS 2 /TiO 2 Heterostructure Photocatalyst with a Switchable CO 2 Reduction Product. Small methods (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, Satoshi Maeda
Mining hydroformylation in complex reaction network via graph theory. RSC advances 11 (38) (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)
Rafael Monteiro, Itsuki Miyazato, Keisuke Takahashi
Rising Sun Envelope Method: An Automatic and Accurate Peak Location Technique for XANES Measurements. The journal of physical chemistry. A 124 (9) (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, Keisuke Takahashi
Structural stability and electronic properties of an octagonal allotrope of two dimensional boron nitride. Dalton transactions (Cambridge, England : 2003) 46 (13) (2018)
Tengfei Zhang, Shigehito Isobe, Yongming Wang, Chaomei Liu, Naoyuki Hashimoto, Keisuke Takahashi
Enhanced hydrogen desorption properties of LiAlH4 by doping lithium metatitanate. Physical chemistry chemical physics : PCCP 18 (39) (2018)
Keisuke Takahashi
Uncovering Periodicity and Hidden Trends Responsible for Predicting the Magnetic Moment of Body Centered Cubic Crystal. Chemphyschem : a European journal of chemical physics and physical chemistry 19 (13) (2018)
Keisuke Takahashi, Lauren Takahashi, Jakub D Baran, Yuzuru Tanaka
Descriptors for predicting the lattice constant of body centered cubic crystal. The Journal of chemical physics 146 (20) (2018)
Farheen Khurshid, M Jeyavelan, Keisuke Takahashi, M Sterlin Leo Hudson, Samuthira Nagarajan
Aryl fluoride functionalized graphene oxides for excellent room temperature ammonia sensitivity/selectivity. RSC advances 8 (36) (2018)
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)
Keisuke Takahashi, Itsuki Miyazato
Rapid estimation of activation energy in heterogeneous catalytic reactions via machine learning. Journal of computational chemistry 39 (28) (2018)

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Publication Activity (10 Years)

Top Topics

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Keisuke Takahashi