Publications
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Hajime Suzuki, Shusaku Shoji, Fernando Garcia-Escobar, Tomoya Tashiro, Hideki Abe, Keisuke Takahashi*
Red Phosphorus-Induced Transformation of Gold Mesh into Crystalline Gold Phosphide Mesh
Phys. Status Solidi Rapid Res. Lett. (2025), (Accepted) DOI:10.1002/pssr.202500298 View Article -
Atsushi Kobayashi*, Atsushi Miura, Keisuke Takahashi
Photocatalytic dissolution of cellulose for hydrogen and nanofiber production: unveiling crucial factors via experiments and informatics
RSC Sustainability (2025), (Accepted) DOI:10.1039/D5SC04813C View Article Press Release -
Kenshin Shibata, Fernando Garcia-Escobar, Tomoya Tashiro, Lauren Takahashi, Keisuke Takahashi*
Designing and Synthesizing Perovskites with Targeted Bandgaps via Tailored Descriptors
Chem. Sci. (2025), (Accepted) DOI:10.1039/D5SC04813C View Article Press Release -
Lauren Takahashi*, Mikael Nicander Kuwahara, Keisuke Takahashi
AI and Automation: Democratizing Automation and the Evolution towards True AI-autonomous Robotics
Chem. Sci.(2025), (Accepted) DOI:10.1039/D5SC03183D View Article -
Hajime Suzuki*, Fernando Garcia-Escobar, Keisuke Takahashi*
Uncovering Design Principles in 2D Honeycomb-Kagome Magnetic Materials through High-Throughput Calculation
J. Phys. Chem. Lett. (2025), 16, 7076–7082 View Article -
Akihiro Honda, Yoshiki Hasukawa, Mikael Nicander Kuwahara, Keisuke Takahashi, Lauren Takahashi
Web-based Graphical User Interface for Visualizing and Analyzing Chemical Reaction Network
React. Chem. Eng. (2025) 10, 2062 - 2066 View Article -
Mikael Kuwahara, Yoshiki Hasukawa, Fernando Garcia-Escobar, Satoshi Maeda, Lauren Takahashi, Keisuke Takahashi
Development of an Open-Source 3D-Printed Material Synthesis Robot FLUID: Hardware and Software Blueprints for Accessible Automation in Materials Science
ACS Appl. Eng. Mater. (2025) 3, 4, 978–987 View Article Press Release -
Sunao Nakanowatari, Keisuke Takahashi, Hieu Chi Dam, Toshiaki Taniike
A Data-Science Approach to Experimental Catalyst Discovery: Integrating Exploration, Exploitation, and Serendipity
ACS Catal. (2025), 15, 8691–8705 View Article Press Release -
Junya Ohyama, Yuriko Yoshioka, Momoka Tsukamoto, Rina Kuroki, Daichi Takahashi, Keisuke Awaya, Masato Machida, Kotaro Higashi, Tomoya Uruga, Naomi Kawamura, Shun Nishimura, Keisuke Takahashi
ABO4 as an Active Catalyst Structure for Direct Partial CH4 Oxidation as Identified through Screening of Supported Catalysts
ACS Catal. (2025), 15, 2, 697–705 View Article -
Wentao Du, Patchanee Chammingkwan, Keisuke Takahashi, Toshiaki Taniike
Unbiased dataset for methane dry reforming and catalyst design guidelines obtained by high-throughput experimentation and machine learning
J. Catal. (2025) 442, 115930 View Article -
Yoshiki Hasukawa, Fernando Garcia-Escobar, Keisuke Takahashi, Lauren Takahashi*
Multidimensional Catalysis Data Representation for Designing Oxidative Coupling of Methane Catalysts
J. Phys. Chem. C (2025) 129, 1, 391–401 View Article -
Fernando Garcia-Escobar*, Lauren Takahashi, Ali Shaaban, Shun Nishimura, Keisuke Takahashi*
Design of low temperature La2O3 oxidative coupling of methane catalysts using feature engineering and automated sampling
Catal. Sci. Technol. (2025) 15, 92-99 View Article -
Yoshiki Hasukawa, Mikael Kuwahara, Fernando Garcia-Escobar, Lauren Takahashi, Toshiaki Taniike, Keisuke Takahashi*
Web based graphical user interface for automated materials feature engineering for machine learning
STAM Methods. (2025) 5, 1, 2441103 View Article -
Lauren Takahashi, Taku Yamada, Hidekazu Okamoto, Keisuke Takahashi*
Unveiling the relation between multiple chemical products and process conditions for trichloroethylene and perchloroethylene production via catalysis network analysis
Catal. Sci. Technol. (2024) 14 (17), 4927-4938, View Article -
Naotoshi Miyasaka, Fernando Gracia-Escobar, Keisuke Takahashi
Automatic Identification of X-ray Absorption Fine Structure Spectra via Machine Learning
J. Phys. Chem. C (2024), 128, 42, 17921–17927 View Article -
Tomoya Tashiro, Hajime Suzuki, Keisuke Takahashi*
High-throughput calculation for screening of Formamidinium Halide Perovskite for Solar Cells
Phys. Chem. Chem. Phys. (2024), 26 (19), 14440-14447 View Article -
Fernando Escober, Toshiaki Taniike, Keisuke Takahashi*
MonteCat MonteCat - A Basin-hopping-inspired Catalyst Descriptor Search algorithm for Regression Models
J. Chem. Inf. Model. (2024), 64, 5, 1512–1521 View Article -
Hajime Suzuki, Keisuke Takahashi*
Theoretical Investigation of Cyanographene and Cyanographite for Potential Sodium Ion Battery
Adv. Eng. Mater. (2024), 26 (7), 2301907 View Article -
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
Comm. Chem. (2024), 7 (1), 11 View Article -
Yoshiki Hasukawa, Mikael Kuwahara, Lauren Takahashi, Keisuke Takahashi*
Development of graphical user interface for design of experiments via Gaussian process regression and its case study
STAM Methods. (2024), 4 (1), 2300252 View Article -
Mikael Kuwahara, Yu Harabuchi, Satoshi Maeda, Jun Fujima, Keisuke Takahashi*
Searching chemical action and network (SCAN): an interactive chemical reaction path network platform
Dig. Dis. (2023), 2 (4), 1104-1111 View Article Press Release -
Yuka Tsuchimura, Hiroshi Yoshida, Masato Machida, Shun Nishimura, Keisuke Takahashi, Junya Ohyama
Investigation of the Active-Site Structure of Cu-CHA Catalysts for the Direct Oxidation of Methane to Methanol Using In Situ UV–Vis Spectroscopy
Energy & Fuels. (2023), 6, 108–111 View Article -
Keisuke Takahashi*, Lauren Takahashi
Toward the Golden Age of Materials Informatics: Perspective and Opportunities
J. Phys. Chem. Lett. (2023), 14, 20, 4726–4733 View Article -
Hajime Suzuki, Keisuke Takahashi*
2 Dimensional Dodecagonal Nitride and Graphenylene via First Principle Calculations
ChemPhyChem. (2023), e202300115 View Article -
Fernando Garcia-Escobar, Shun Nishimura, Keisuke Takahashi*
Data-Driven Design and Understanding of Noble Metal-Based Water–Gas Shift Catalysts from Literature Data
J. Phys. Chem. C, (2023), 127, 13, 6152–6166 View Article -
Shun Nishimura, Xinyue Li, Junya Ohyama, Keisuke Takahashi*
Leveraging Machine Learning Engineering to Uncover Insights in Heterogeneous Catalyst Design for Oxidative Coupling of Methane
Catal. Sci. Technol (2023), 13, 4646-4655 View Article -
Fumiya Nishino, Hiroshi Yoshida, Masato Machida, Shun Nishimuraa Keisuke Takahashi, Junya Ohyama
Indirect Design of OCM Catalysts through Machine Learning of Catalyst Surface Oxygen Species
Catal. Sci. Technol (2023), 13, 5576-5581 View Article -
Toshiaki Taniike, Keisuke Takahashi*
The value of negative results in data-driven catalysis research
Nat. Catal. (2023), 6, 108–11 View Article Press Release -
Keisuke Takahashi*, Junya Ohyama, Shun Nishimura, Jun Fujima, Lauren Takahashi, Takeaki Uno, Toshiaki Taniike
Catalysts informatics: paradigm shift towards data-driven catalyst design
ChemComm. (2023), 59, 2222-2238 View Article -
Junya Ohyama*, Yuka Tsuchimura, Hiroshi Yoshida, Masato Machida, Shun Nishimura, Keisuke Takahashi*
Bayesian-Optimization-Based Improvement of Cu-CHA Catalysts for Direct Partial Oxidation of CH4
J. Phys. Chem. C (2022), 126, 46, 19660–19666 View Article -
Sora Ishioka, Aya Fujiwara, Sunao Nakanowatari, Lauren Takahashi, Toshiaki Taniike, Keisuke Takahashi*
Designing Catalyst Descriptors for Machine Learning in Oxidative Coupling of Methane
ACS Catal. (2022), 12 (19), 11541-11546 View Article -
Lauren Takahashi, Shigehiro Yoshida, Jun Fujima, Hiroshi Oikawa,Keisuke Takahashi*
Unveiling the reaction pathways of hydrocarbons via experiments, computations and data science
Phys. Chem. Chem. Phys. (2022), 24, 29841-29849 View Article -
Keisuke Takahashi*, Lauren Takahashi, Son Dinh Le, Takaaki Kinoshita, Shun Nishimura, and Junya Ohyama
Synthesis of Heterogeneous Catalysts in Catalyst Informatics to Bridge Experiment and High-Throughput Calculation
J. Am. Chem. Soc. (2022), 144, 34, 15735–15744 View Article -
Keisuke Takahashi*, Itsuki Miyazato, Satoshi Maeda, Lauren Takahashi
Designing Transformer Oil Immersion Cooling Servers for Machine Learning and First Principle Calculations
PLOS ONE (2022) 17 (5) e0266880 View Article -
Shun Nishimura*, Junya Ohyama, Xinyue Li, Itsuki Miyazato, Toshiaki Taniike, Keisuke Takahashi*
Machine Learning-Aided Catalyst Modification in Oxidative Coupling of Methane via Manganese Promoter
Ind. Eng. Chem. Res (2022) 61, 24, 8462-8469 View Article -
Vinit Kumar, Punit Kumar, Keisuke Takahashi, Pratibha Sharma*
Hydrogen adsorption studies of TiFe surfaces via 3-d transition metal substitution
Int. J. Hydrog. Energy (2022) 47 (36), 16156-16164 View Article -
Junya Ohyama*, Daiki Abe, Airi Hirayama, Hiroki Iwai, Yuka Tsuchimura, Kazuki Sakamoto, Momoka Irikura, Yuri Nakamura, Hiroshi Yoshida, Masato Machida, Shun Nishimura, Tomokazu Yamamoto, Syo Matsumura, Keisuke Takahashi
Selective Oxidation of Methane to Formaldehyde over a Silica-Supported Cobalt Single-Atom Catalyst
J. Phys. Chem. C (2022),126,4, 1785-1792 View Article -
Shun Nishimura, Son Dinh Le, Itsuki Miyazato, Jun Fujima, Toshiaki Taniike, Junya Ohyama, Keisuke Takahashi*
High-throughput screening and literature data-driven machine learning-assisted investigation of multi-component La2O3-based catalysts for the oxidative coupling of methane
Catal. Sci. Technol (2022), 12 (9), 2766-2774 View Article -
Junya Ohyama*, Yuka Tsuchimura, Airi Hirayama, Hiroki Iwai, Hiroshi Yoshida, Masato Machida, Shun Nishimura, Kazuo Kato, Keisuke Takahashi
Relationships among the Catalytic Performance, Redox Activity, and Structure of Cu-CHA Catalysts for the Direct Oxidation of Methane to Methanol Investigated Using In Situ XAFS and UV–Vis Spectroscopies
ACS Catal.(2022), 12, 2454-2462 View Article -
Hajime Suzuki, Itsuki Miyazato, Tanveer Hussain, Fatih Ersan, Satoshi Maeda, Keisuke Takahashi*
Designing two-dimensional dodecagonal boron nitride
CrystEngComm (2022), 24, 471-474 View Article -
Thanh Nhat Nguyen, Kalaivani Seenivasan, Sunao Nakanowatari, Priyank Mohan, Thuy Phuong Nhat Tran, Shun Nishimura, Keisuke Takahashi, Toshiaki Taniike*
Factors to influence low-temperature performance of supported Mn–Na2WO4 in oxidative coupling of methane
Mol. Cat (2021), 516, 111976 View Article -
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
Chem. Sci (2021), 12, 12546-12555 View Article Press Release -
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
J. Phys. Chem. Lett, (2021), 12 30 7335-7341 View Article Press Release -
Xucheng Zhang, Yanran Li, Yiting Feng, Jia Guo, Keisuke Takahashi*, Changchun Wang
Quick approach for optimization of monodisperse microsphere synthesis with a knowledge sharing strategy powered by machine learning
Chem. Phys. Lett, (2021), 780 138908 View Article -
Sora Ishioka, Itsuki Miyazato, Lauren Takahashi, Thanh Nhat Nguyen, Toshiaki Taniike, Keisuke Takahashi*
Unveiling gas-phase oxidative coupling of methane via data analysis
J. Comput. Chem, (2021), 42 20 1447-1451 View Article -
Keisuke Takahashi*, Satoshi Maeda
Mining hydroformylation in complex reaction network via graph theory
RSC Adv, (2021), 11, 23235-23240 View Article -
Sunao Nakanowatari, Thanh Nhat Nguyen, Hiroki Chikuma, Aya Fujiwara, Kalaivani Seenivasan, Ashutosh Thakur, Lauren Takahashi, Keisuke Takahashi, Toshiaki Taniike*
Extraction of catalyst design heuristics from random catalyst dataset and their utilization in catalyst development for oxidative coupling of methane
ChemCatChem, (2021), 13, 14 3262-3269 View Article -
Junya Ohyama*, Airi Hirayama, Yuka Tsuchimura, Nahoko Kondou, Hiroshi Yoshida, Masato Machida, Shun Nishimura, Kazuo Kato, Itsuki Miyazato, Keisuke Takahashi
Catalytic direct oxidation of methane to methanol by redox of copper mordenite
Catal. Sci. Technol, (2021), 11, 10 3437-3446 View Article -
Airi Hirayama, Yuka Tsuchimura, Hiroshi Yoshida, Masato Machida, Shun Nishimura, Kazuo Kato, Keisuke Takahashi, Keisuke Takahashi, Junya Ohyama*
Catalytic oxidation of methane to methanol over Cu-CHA with molecular oxygen
View Article Catal. Sci. Technol, (2021), 11, 6217-6224 -
J. Ohyama, A.Hirayama, N.Kondo, H. Yoshida, M. Machida, S. Nishimura, K.Hirai, I. Miyazato, Keisuke Takahashi*
Data science assisted investigation of catalytically active copper hydrate in zeolites for direct oxidation of methane to methanol using H2O2
Sci. Rep, (2021), 11, 2067 View Article -
T.N.Ngyuyen, S.Nakanowatari, T.T.P.Nhat, A.Thakur, L. Takahashi, Keisuke Takahashi*, T.Taniike
Learning Catalyst Design Based on Bias-Free Data Set for Oxidative Coupling of Methane
ACS Catal, (2021), 11, 1797-1809 View Article -
L. Takahashi, J. Ohyama, S. Nishimura, Keisuke Takahashi*
Representing the Methane Oxidation Reaction via Linking First-Principles Calculations and Experiment with Graph Theory
J. Phys. Chem. Lett., (2021), 12, 558-568 View Article -
I. Miyazato, T.N.Ngyuyen, L. Takahashi, T.Taniike, Keisuke Takahashi*
Representing Catalytic and Processing Space in Methane Oxidation Reaction via Multioutput Machine Learning
J. Phys. Chem. Lett., (2021), 12, 808-814 View Article -
K. Sugiyama, T.N.Ngyuyen, S.Nakanowatari, I. Miyazato, T.Taniike, Keisuke Takahashi*
Direct Design of Catalysts in Oxidative Coupling of Methane via High‐Throughput Experiment and Deep Learning
ChemCatChem, (2021), 13, 952-957 View Article -
J. Ohyama, T.Kinoshita, E.Funada, H. Yoshida, M. Machida, S. Nishimura, T. Uno, J.Fujima, I. Miyazato, L. Takahashi, Keisuke Takahashi*
Direct Design of Active Catalysts for Low Temperature Oxidative Coupling of Methane via Machine Learning and Data Mining
Catal. Sci. Technol., (2021), 11, 524-530 View Article -
Shun Nishimura, Junya Ohyama, Takaaki Kinoshita,Son Dinh Le, Keisuke Takahashi*
Revisiting Machine Learning Predictions for Oxidative Coupling of Methane (OCM) based on Literature Data
ChemCatChem (2020) 12 (23), 5888-5892 View Article -
Keisuke Takahashi*, Lauren Takahashi, Thanh Nhat Nguyen, Ashutosh Thakur, Toshiaki Taniike
Multi-Dimensional Classification of Catalysts in Oxidative Coupling of Methane through Machine Learning and High-Throughput Data
J. Phys. Chem. Lett (2020) 11, 16, 6819–6826 View Article -
Itsuki Miyazato, Tanveer Hussain, Keisuke Takahashi
Transition of wide-band gap semiconductor h-BN(BN)/P heterostructure via single-atom-embedding
J. Phys. Chem. C (2020) 8, 9755-9762 View Article -
Jun Fujima, Yuzuru Tanaka, Itsuki Miyazato, Lauren Takahashi, Jun Fujima, Keisuke Takahashi*
Catalyst Acquisition by Data Science (CADS): a web-based catalyst informatics platform for discovering catalysts
React. Chem. Eng. (2020) 5 (5), 903-911 View Article Press Release -
Rafael Monteiro, Itsuki Miyazato, Keisuke Takahashi*
Rising Sun Envelope Method: An Automatic and Accurate Peak Location Technique for XANES Measurements
J. Phys. Chem. A (2020) 124 (9), pp 1754–1762 View Article -
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
J. Phys. Chem. Lett (2020) 10 (2), pp 283–288 View Article -
Vinit Kumar,Punit Kumar,Subhasis Pati,Pratibha Sharma, Keisuke Takahashi
Tuning the hydrogen storage properties of TiFe clusters via Zr substitution
Energy Storage (2020) e157 View Article -
Keisuke Takahashi*
First-Principles Design of Cu12shellFecore Core–Shell Clusters Assembled with K3O into Hexameric Rings: Implications for Gas-Storage Materials
ACS Appl. Nano Mater. (2020) 3 (1),55–58 View Article -
Thanh Nhat Nguyen, Thuy Tran Phuong Nhat, Ken Takimoto, Ashutosh Thakur, Shun Nishimura, Junya Ohyama, Itsuki Miyazato, Lauren Takahashi, Jun Fujima, Keisuke Takahashi, Toshiaki Taniike
High-Throughput Experimentation and Catalyst Informatics for Oxidative Coupling of Methane
ACS Catal (2020) 10 (2), 921–932 View Article -
Lauren Takahashi, Keisuke Takahashi*
Visualizing Scientists’ Cognitive Representation of Materials Data through the Application of Ontology
J. Phys. Chem. Lett. (2019) 10 (23), 7482–7491 View Article -
Itsuki Miyazato, Sevil Sarikurt. Keisuke Takahashi, Fatih Ersan
Controlling electronic structure of single-layered HfX3 (X=S,Se) trichalcogenides through systematic Zr doping
Journal of Materials Science (2020) 55, 660–669 View Article -
Keisuke Takahashi*, Lauren Takahashi
Data Driven Determination in Growth of Silver from Clusters to Nanoparticles and Bulk
J. Phys. Chem. Lett. (2019) 10 (14), 4063–4068 View Article -
Junya Ohyama, Shun Nishimura, Keisuke Takahashi*
Data Driven Determination of Reaction Conditions in Oxidative Coupling of Methane via Machine Learning
ChemCatChem (2019) 11 (17), 4307–4313 View Article -
Itsuki Miyazato, Keisuke Takahashi*, Lauren Takahashi
Automatic oxidation threshold recognition of XAFS data using supervised machine learning
M Mol. Syst. Des. Eng (2019) 4 (5), 1014–1018 View Article -
Keisuke Takahashi*, Lauren Takahashi
Creating Machine Learning-Driven Material Recipes Based on Crystal Structure
J. Phys. Chem. Lett. (2019) 10 (2), 283–288 View Article -
Keisuke Takahashi*, Lauren Takahashi
Functionalized Single-Atom-Embedded Bilayer Graphene and Hexagonal Boron Nitride
ACS Appl. Electron. Mater. (2019) 1 (1), pp 2–6 View Article -
Duong-Nguyen Nguyen, Tien-Lam Pham, Viet-Cuong Nguyen, Tuan-Dung Ho, Truyen Tran, Keisuke Takahashi, Hieu-Chi Dam
Committee machine that votes for similarity between materials
IUCrJ (2018) 5, 6, 830,840 View Article -
Keisuke Takahashi*, Lauren Takahashi, Itsuki Miyazato, Jun Fujima, Yuzuru Tanaka, Takeaki Uno, Hiroko Satoh, Koichi Ohno, Mayumi Nishida, Kenji Hirai, Junya Ohyama, Thanh Nhat Nguyen, Shun Nishimura, Toshiaki Taniike
The Rise of Catalyst Informatics: Towards Catalyst Genomics
ChemCatChem (2018) 11, 4, 1146-1152 View Article -
Lauren Takahashi, Itsuki Miyazato, Keisuke Takahashi*
Redesigning the Materials and Catalysts Database Construction Process Using Ontologies
J. Chem. Inf. Model. (2018)58, 9, 1742-1754 View Article -
Keisuke Takahashi*, Itsuki Miyazato
Rapid estimation of activation energy in heterogeneous catalytic reactions via machine learning
J. Comput. Chem (2018) 39, 28, 2405-2408 View Article -
Keisuke Takahashi*, Itsuki Miyazato, Shun Nishimura, Junya Ohyama
Unveiling hidden catalysts for the oxidative coupling of methane based on combining machine learning and literature data
ChemCatChem (2018) 10 (15), 3223-3228 View Article -
Farheen Khurshid, M Jeyavelan, Keisuke Takahashi, M. Sterlin Leo Hudson, Samuthira Nagarajan*
Aryloride functionalized graphene oxides for excellent room temperature ammonia sensitivity/selectivity
RSC Adv (2018) 8 (36), (2018), 20440-20449 View Article -
Keisuke Takahashi*
Uncovering hidden trend and periodicity for predicting the magnetic moment in body centered cubic crystal
ChemPhysChem (2018) 19, 13, 1593-1598 View Article -
Lauren Takahashi, Keisuke Takahashi*
Tuning the Electronic Structure of an Aluminum Phosphide Nanotube through Configuration of the Lattice Geometry
ACS Appl. Nano Mater. (2018), 1 (2), 501504 View Article -
Keisuke Takahashi*, Lauren Takahashi, Itsuki Miyazato, Yuzuru Tanaka
https://pubs.acs.org/doi/10.1021/acsphotonics.7b01479
ACS Photonics (2018) 5 (3), 771775 View Article -
Itsuki Miyazato, Yuzuru Tanaka, Keisuke Takahashi*
Accelerating the discovery of hidden two-dimensional magnets using machine learning and first principle calculations
J. Phys. Condens. Matter (2018) 6, 30 View Article -
Keisuke Takahashi*
Designing a tunable magnet using cluster-assembled iron
J. Appl. Phys (2018) 123, 015102 View Article -
Lauren Takahashi, Tessui Nakagawa, Keisuke Takahashi*
Electronic structure of octagonal boron nitride nanotubes
Int. J. Quantum Chem (2018) 118 (11), e25542 View Article -
Itsuki Miyazato, Keisuke Takahashi*
Revealing the multi hydrogen bonding state within iron doped amorphous carbon
Chem. Phys. Lett (2018) 691,122-125 View Article -
Jakub D Baran, Christopher Eames, Keisuke Takahashi, Marco Molinari, M Saiful Islam, Stephen C Parker*
Structural, Electronic, and Transport Properties of Hybrid SrTiO3-Graphene and Carbon Nanoribbon Interfaces
Chem. Mater (2017) 29 (17), 7364-7370 View Article -
Itsuki Miyazato, Keisuke Takahashi*
Electronic structure of boron based single and multi-layer two dimensional materials
J. Appl. Phys (2017) 122 (10), 104302 View Article -
Lauren Takahashi, Keisuke Takahashi*
Structural stability and electronic properties of an octagonal allotrope of two dimensional boron nitride
Dalton Trans (2017) 46 (13), 4259-4264 View Article -
Keisuke Takahashi*, Lauren Takahashi, Jakub D Baran, Yuzuru Tanaka
Descriptors for predicting the lattice constant of body centered cubic crystal
J. Chem. Phys (2017) 146 (20), 204104 View Article -
Lauren Takahashi, Keisuke Takahashi*
Structural stability and electronic properties of an octagonal allotrope of two dimensional boron nitride
Dalton Trans 46 13 (2017), 4259-4264 View Article -
Keisuke Takahashi*, Yuzuru Tanaka
Unveiling descriptors for predicting the bulk modulus of amorphous carbon
Phys. Rev. B (2017) 95 (5), 054110 View Article -
Alvaro Munoz*, Keisuke Takahashi
Towards Two-Dimensional Ge9-Cluster Based Materials. Computational Evaluation of [Ge9(Si(SiMe3))3]- Aggregates
J. Phys. Chem. C 121 3 (2017) 1934-1940 View Article -
Keisuke Takahashi*, Yuzuru Tanaka
Role of descriptors in predicting the dissolution energy of embedded oxides and the bulk modulus of oxide-embedded iron
Phys. Rev. B (2016) 95 (1), 014101 View Article -
Lauren Takahashi, Keisuke Takahashi*
Designing Mg7 cluster-assembled two dimensional crystal
Flat Chem (2016) 1, 57-59 View Article -
Tengfei Zhange*, Shigehito Isobe, Yongming Wang, Chaomei Liu, Naoyuki Hashimoto, Keisuke Takahashi
Enhanced hydrogen desorption properties of LiAlH4 by doping lithium metatitanate
Phys. Chem. Chem. Phys. (2016) 18, 27623-27629 View Article -
Lauren Takahashi, Keisuke Takahashi*
Reactivity of two dimensional Au9, Pt9, and Au18Pt18 against common gas molecules
Inorg. Chem. (2016) 55 (18), 9410-9416 View Article -
Keisuke Takahashi*, Yuzuru Tanaka
“Material Informatics: Journey towards Material Design and Synthesis
Dalton Trans, (Perspectives) (2016) 45, 10497-10499 View Article -
Keisuke Takahashi*, Yuki Nakagawa, Lauren Takahashi, Shigehito Isobe
Prediction of catalytic activities of ammonia borane by dual descriptors: electronegativity and crystal structure
New J. Chem. (2016),40 (9), 7303-7306 View Article -
Keisuke Takahashi*, Shigehito Isobe, Kengo Omori,Torge Masho, Domenica Convertino, Vaidotas Miseikis, Camilla Coletti,Valentina Tozzini, Stephan Heun
Revealing the multi-bonding state between hydrogen and Ti clusters supported graphene
J. Phys. Chem. C (2016), 120 (24), 12974-12979 View Article -
Tanveer Hussain, Debra Searles, Keisuke Takahashi*
Reversible Hydrogen Uptake by BN and BC3 Monolayers Functionalized with Small Fe Clusters: A Route to Effective Energy Storage
J. Phys. Chem. A (2016) 120 (12), 20092013 View Article -
Keisuke Takahashi*, Tanveer Hussain, Lauren Takahashi, Jakub B Baran
Designing square two dimensional gold and platinum
Cryst. Growth Des., (2016) 16 (3), 1746–1750 View Article -
Keisuke Takahashi*, Hiroshi Oka, Somei Ohnuki
Selective growth of noble gases at metal/oxide interface
A CS Appl. Mater. Interfaces, (2016) 8 (6), 3725–3729 View Article -
Keisuke Takahashi*, Lauren. Takahashi
Hydrophobic and antioxidant effects in In, Sn, and Sb based two dimensional materials
Dalton Trans, (2016) 45, 3244-3246 View Article -
Keisuke Takahashi*, Yuzuru Tanaka
Material synthesis and design from first principle calculations and machine learning
Comput. Mater. Sci., 112 (2016), 364-367 View Article -
M Sterlin Leo Hudson*, Keisuke Takahashi, A Ramesh, Seema Awasthi, Ashish Kumar Ghosh, Ponniah Ravindran, Onkar Nath Srivastava*
Graphene decorated with Fe nanoclusters for improving the hydrogen sorption kinetics of MgH2 – Experimental and theoretical evidence
Catal. Sci. Technol., 6 1 (2016), 261-268 View Article -
Lauren Takahashi, Keisuke Takahashi*
Low temperature pollutant trapping and dissociation over two-dimensional tin
Phys. Chem. Chem. Phys, (2015), 17 (33), 21394-21396 View Article -
Keisuke Takahashi*
Iron oxide cluster induced barrier-free conversion of nitric oxide to ammonia
Chem. Commun, 51 (2015), 4062-4064 View Article -
Seiji Sakuraya, Keisuke Takahashi*, Naoyuki Hashimoto, Somei Ohnuki
The effect of point defects on diffusion pathway within α-Fe
J. Phys. Condens. Matter, 27 (2015) 175007 View Article -
Nobuko Hanada*, Tessui Nakagawa, Hirotaka Asada, Masayoshi Ishida, Keisuke Takahashi, Shigehito Isobe, Itoko Saita, Kohta Asano, Yumiko Nakamura, Akitoshi Fujisawa, Shinichi Miura
Dependence of constituent elements of AB5 type metal hydrides on hydrogenation degradation by CO2 poisoning
J. Alloys Compd, 647 (2015) 198-203 View Article -
Keisuke Takahashi*
The growth of Fe clusters over graphene
2D Materials, 2 (2015), 014001 View Article -
Keisuke Takahashi*, Shigehito Isobe
Enhancing the hydrogen storage capacity of TiFe by utilizing clusters
Phys. Chem. Chem. Phys, 16 (2014), 16765-16770 View Article -
Keisuke Takahashi*, Yongming Wang, Shotaro Chiba, Yuki Nakagawa, Shigehito Isobe, Somei Ohnuki
Low temperature hydrogenation of iron nanoparticles on graphene
Sci. Rep, 4 (2014), 4598 View Article -
Seiji Sakuraya, Keisuke Takahashi*, Shuai Wang, Naoyuki Hashimoto, Somei Ohnuki
Physical properties of α-Fe upon the introduction of H, He, C, and N
Solid State Commun 195 (2014) 7073 View Article -
Keisuke Takahashi*, Shigehito Isobe, Somei Ohnuki
The stabilization of Fe, Ru, and Os clusters upon hydrogenation
RSC Adv. 3 (2013), 21841-21847 View Article -
Keisuke Takahashi*, Shigehito Isobe, Somei Ohnuki
The catalytic effect of Nb, NbO and Nb2O5 with different surface plane on dehydrogenation in MgH2: Density functional theory study
J. Alloys Compd. 580 (2013), S25-S28 View Article -
Keisuke Takahashi*, Shigehito Isobe, Somei Ohnuki
H2 dissociation over NbO: The first step towards hydrogenation of Mg
Langmuir 29 38 (2013), 12059-12065 View Article -
Keisuke Takahashi*, Shigehito Isobe, Somei Ohnuki
Chemisorption of hydrogen on Fe clusters through hybrid bonding mechanisms
Appl. Phys. Lett., 102 (2013): 113108-113108 View Article -
Shuai Wang*, Keisuke Takahashi, Naoyuki Hashimoto, Shigehito Isobe, Somei Ohnuki
A density function theory study of hydrogen-induced local strain field in b.c.c. iron and its effect on dislocation motion
Scr. Mater 68 (2013): 249–252 View Article -
Keisuke Takahashi*, Shigehito Isobe, Somei Ohnuki
The Structural and Electronic Properties of Small Osmium Clusters (2-14): A Density Functional Theory Study
Chem. Phys. Lett, 555 (2013): 26–30 View Article -
Tao Ma*, Shigehito Isobe, Keisuke Takahashi, Shuai Wang, Yongming Wang, Naoyuki Hashimoto, Somei Ohnuki
Phase Transition of Mg during Hydrogenation of Mg–Nb2O5 Evaporated Composites
J. Phys. Chem. C 116 32 (2012), 17089-17093 View Article