Keisuke Takahashi 研究室

主宰者：Keisuke Takahashi

北海道大学

AI 要約（直近 5 年の研究成果）

要約はまだ生成されていません。

※ AI（Claude）が、公開されている論文要旨から研究の問い・手法・主要な発見を事実情報として抽出・再構成して自動生成しています。誤りを含む可能性があるため、正確性は研究室公式情報でご確認ください。

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研究成果（72 件）

[2026] Design and fabrication of a low-cost 3D-printed pH sensor positioning robot for laboratory automation
DOI: https://doi.org/10.1080/27660400.2026.2694963
[2026] Designing Anode Materials for Proton Exchange Membrane Electrolysis via Literature Data and Machine Learning
DOI: https://doi.org/10.1021/acsaem.5c03017
[2026] Design rules for ternary CO 2 hydrogenation catalysts via literature-sourced network construction and analysis
DOI: https://doi.org/10.1039/d6sc00563b
[2025] Designing and synthesizing perovskites with targeted bandgaps via tailored descriptors
DOI: https://doi.org/10.1039/d5sc04813c
[2025] Development of an Open-Source 3D-Printed Material Synthesis Robot FLUID: Hardware and Software Blueprints for Accessible Automation in Materials Science
DOI: https://doi.org/10.1021/acsaenm.5c00084
[2025] A Data-Science Approach to Experimental Catalyst Discovery: Integrating Exploration, Exploitation, and Serendipity
DOI: https://doi.org/10.1021/acscatal.5c00100
[2025] Uncovering Design Principles in 2D Honeycomb–Kagome Magnetic Materials through High-Throughput Calculation
DOI: https://doi.org/10.1021/acs.jpclett.5c01587
[2025] Red Phosphorus‐Induced Transformation of Gold Mesh into Crystalline Gold Phosphide Mesh
DOI: https://doi.org/10.1002/pssr.202500298
[2025] Unique Phase Evolution and Multielemental Effects in Natural Rhodochrosite for Methane Oxidation
DOI: https://doi.org/10.1002/chem.202502374
[2025] Automated Feature Engineering and Model Aggregation for Data-Driven Oxidative Coupling of Methane Catalyst Design
DOI: https://doi.org/10.1021/acsami.5c20537

続きを表示（残り 62 件）

[2025] Sulfur-Rich Benzothiadiazole-Based Conjugated Polymers for Efficient CO 2 Electroreduction
DOI: https://doi.org/10.1021/acs.energyfuels.5c05342
[2025] Compatibility Diagnosis for the Design of Oxidative Coupling of Methane Catalysts
DOI: https://doi.org/10.1021/acs.jpclett.5c02974
[2025] Web-based graphical interface for catalyst gene design and profiling
DOI: https://doi.org/10.1080/27660400.2025.2600689
[2025] Web-based graphical user interface for visualizing and analyzing chemical reaction networks
DOI: https://doi.org/10.1039/d5re00170f
[2025] Photocatalytic dissolution of cellulose for hydrogen and nanofiber production: unveiling crucial factors via experiments and informatics
DOI: https://doi.org/10.1039/d5su00054h
[2024] Multidimensional Catalysis Data Representation for Designing Oxidative Coupling of Methane Catalysts
DOI: https://doi.org/10.1021/acs.jpcc.4c07397
[2024] Web-based graphical user interface for automated materials feature engineering for machine learning
DOI: https://doi.org/10.1080/27660400.2024.2441103
[2024] Unbiased dataset for methane dry reforming and catalyst design guidelines obtained by high-throughput experimentation and machine learning
DOI: https://doi.org/10.1016/j.jcat.2024.115930
[2024] ABO4 as an Active Catalyst Structure for Direct Partial CH4 Oxidation as Identified through Screening of Supported Catalysts
DOI: https://doi.org/10.1021/acscatal.4c06376
[2024] Design of low temperature La 2 O 3 oxidative coupling of methane catalysts using feature engineering and automated sampling
DOI: https://doi.org/10.1039/d4cy01142b
[2024] High-contrast imaging and spectroscopy by a low-scattering off-axis telescope PLANETS: current status of the development and future plan
DOI: https://doi.org/10.1117/12.3019510
[2024] Improved Catalytic Partial Oxidation of Methane via Lattice Oxygen Modification on Supported Copper Oxide Catalyst System
DOI: https://doi.org/10.1002/cctc.202401045
[2024] MonteCat: A Basin-Hopping-Inspired Catalyst Descriptor Search Algorithm for Machine Learning Models
DOI: https://doi.org/10.1021/acs.jcim.3c01952
[2024] Theoretical Investigation of Cyanographene and Cyanographite for Potential Sodium‐Ion Battery
DOI: https://doi.org/10.1002/adem.202301907
[2024] Automatic Identification of X-ray Absorption Fine Structure Spectra via Machine Learning
DOI: https://doi.org/10.1021/acs.jpcc.4c02795
[2024] Automatic feature engineering for catalyst design using small data without prior knowledge of target catalysis
DOI: https://doi.org/10.1038/s42004-023-01086-y
[2024] High-Precision Grinding of Thin and Large Optical Workpieces with the Kinematic Support
DOI: https://doi.org/10.20965/ijat.2024.p0039
[2024] Development of graphical user interface for design of experiments via Gaussian process regression and its case study
DOI: https://doi.org/10.1080/27660400.2023.2300252
[2024] Measurement of a Freeform Surface by Dragging Three Point Method Along with a Circular Path
DOI: https://doi.org/10.20965/ijat.2024.p0066
[2024] High-throughput calculation for the screening of formamidinium halide perovskite for solar cells
DOI: https://doi.org/10.1039/d4cp00980k
[2024] Identification of density of earth-fill dam using muography
DOI: https://doi.org/10.23967/isc.2024.038
[2024] Unveiling the relation between multiple chemical products and process conditions for trichloroethylene and perchloroethylene production via catalysis network analysis
DOI: https://doi.org/10.1039/d4cy00573b
[2023] Data-Driven Design and Understanding of Noble Metal-Based Water–Gas Shift Catalysts from Literature Data
DOI: https://doi.org/10.1021/acs.jpcc.2c09132
[2023] The value of negative results in data-driven catalysis research
DOI: https://doi.org/10.1038/s41929-023-00920-9
[2023] Improving scientific image processing accessibility through development of graphical user interfaces for scikit-image
DOI: https://doi.org/10.1039/d3dd00061c
[2023] Indirect design of OCM catalysts through machine learning of catalyst surface oxygen species
DOI: https://doi.org/10.1039/d3cy00587a
[2023] Searching chemical action and network (SCAN): an interactive chemical reaction path network platform
DOI: https://doi.org/10.1039/d3dd00026e
[2023] Relationship between Redox Rate and Catalytic Activity of Cu Zeolite in the Partial Oxidation of Methane
DOI: https://doi.org/10.1627/jpi.66.180
[2023] Investigation of the Active-Site Structure of Cu-CHA Catalysts for the Direct Oxidation of Methane to Methanol Using In Situ UV–Vis Spectroscopy
DOI: https://doi.org/10.1021/acs.energyfuels.3c00333
[2023] Leveraging machine learning engineering to uncover insights into heterogeneous catalyst design for oxidative coupling of methane
DOI: https://doi.org/10.1039/d3cy00596h
[2023] Water Purification by 2‐Dimensional Dodecagonal Nitride and Graphenylene via First Principles Calculations
DOI: https://doi.org/10.1002/cphc.202300115
[2022] 2D/1D MoS2/TiO2 Heterostructure Photocatalyst with a Switchable CO2 Reduction Product
DOI: https://doi.org/10.1002/smtd.202201103
[2022] Bayesian-Optimization-Based Improvement of Cu-CHA Catalysts for Direct Partial Oxidation of CH4
DOI: https://doi.org/10.1021/acs.jpcc.2c04229
[2022] Designing Catalyst Descriptors for Machine Learning in Oxidative Coupling of Methane
DOI: https://doi.org/10.1021/acscatal.2c03142
[2022] Synthesis of Heterogeneous Catalysts in Catalyst Informatics to Bridge Experiment and High-Throughput Calculation
DOI: https://doi.org/10.1021/jacs.2c06143
[2022] Machine Learning-Aided Catalyst Modification in Oxidative Coupling of Methane via Manganese Promoter
DOI: https://doi.org/10.1021/acs.iecr.1c05079
[2022] New Profirometer and Data Stitching Algorithm for Large Mirror Measurement
DOI: https://doi.org/10.1109/cleo-pr62338.2022.10432614
[2022] Basic Behavior of the Contact Resistivity of an Intra-Layer No-Insulation (LNI) REBCO Coil
DOI: https://doi.org/10.1109/tasc.2022.3164626
[2022] Designing transformer oil immersion cooling servers for machine learning and first principle calculations
DOI: https://doi.org/10.1371/journal.pone.0266880
[2022] Hydrogen adsorption studies of TiFe surfaces via 3-d transition metal substitution
DOI: https://doi.org/10.1016/j.ijhydene.2022.03.138
[2022] Performance Evaluation of Blockchains Towards Sharing of Digital Twins
DOI: https://doi.org/10.1109/lifetech53646.2022.9754902
[2022] 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
DOI: https://doi.org/10.1021/acscatal.1c05559
[2022] Selective Oxidation of Methane to Formaldehyde over a Silica-Supported Cobalt Single-Atom Catalyst
DOI: https://doi.org/10.1021/acs.jpcc.1c08739
[2022] High-throughput screening and literature data-driven machine learning-assisted investigation of multi-component La 2 O 3 -based catalysts for the oxidative coupling of methane
DOI: https://doi.org/10.1039/d1cy02206g
[2022] Unveiling the reaction pathways of hydrocarbons via experiments, computations and data science
DOI: https://doi.org/10.1039/d2cp04499d
[2021] Designing two-dimensional dodecagonal boron nitride
DOI: https://doi.org/10.1039/d1ce01354h
[2021] Catalysis Gene Expression Profiling: Sequencing and Designing Catalysts
DOI: https://doi.org/10.1021/acs.jpclett.1c02111
[2021] Quick approach for optimization of monodisperse microsphere synthesis with a knowledge sharing strategy powered by machine learning
DOI: https://doi.org/10.1016/j.cplett.2021.138908
[2021] A system development for flexibly IoT device sharings among IoT services
[2021] Unveiling gas‐phase oxidative coupling of methane via data analysis
DOI: https://doi.org/10.1002/jcc.26554
[2021] Extraction of Catalyst Design Heuristics from Random Catalyst Dataset and their Utilization in Catalyst Development for Oxidative Coupling of Methane
DOI: https://doi.org/10.1002/cctc.202100460
[2021] Performance of Epoxy-Impregnated Intra-Layer No-Insulation (LNI) REBCO Coils at 77 K
DOI: https://doi.org/10.1109/tasc.2021.3065875
[2021] Learning Catalyst Design Based on Bias-Free Data Set for Oxidative Coupling of Methane
DOI: https://doi.org/10.1021/acscatal.0c04629
[2021] Data science assisted investigation of catalytically active copper hydrate in zeolites for direct oxidation of methane to methanol using H2O2
DOI: https://doi.org/10.1038/s41598-021-81403-4
[2021] Materials Informatics : Summary and Examples
DOI: https://doi.org/10.5360/membrane.46.325
[2021] Efficacy of Salvage Surgery for HCC Recurred with Vascular Invasion after Long-term Non-surgical Therapies
DOI: https://doi.org/10.1016/j.hpb.2020.11.399
[2021] Mining hydroformylation in complex reaction network via graph theory
DOI: https://doi.org/10.1039/d1ra03395f
[2021] Constructing catalyst knowledge networks from catalyst big data in oxidative coupling of methane for designing catalysts
DOI: https://doi.org/10.1039/d1sc04390k
[2021] Catalytic oxidation of methane to methanol over Cu-CHA with molecular oxygen
DOI: https://doi.org/10.1039/d1cy00676b
[2021] Catalytic direct oxidation of methane to methanol by redox of copper mordenite
DOI: https://doi.org/10.1039/d1cy00125f
[2021] Representing Catalytic and Processing Space in Methane Oxidation Reaction via Multioutput Machine Learning
DOI: https://doi.org/10.1021/acs.jpclett.0c03465
[2021] Factors to influence low-temperature performance of supported Mn–Na2WO4 in oxidative coupling of methane
DOI: https://doi.org/10.1016/j.mcat.2021.111976

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AI 要約（直近 5 年の研究成果）

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関連研究室(8 件)

研究成果（72 件）

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