Tomoaki Takayama

Associate Professor

Nara Institute of Science and Technology（NAIST）

Japan

Research Interests

Explore related searches

Professors in Japan

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

About

Dr. Tomoaki Takayama is an Associate Professor at the Nara Institute of Science and Technology (NAIST) in Japan. His research focuses on electrocatalysis, photocatalysis, and the application of data science in experimental design, with recent contributions to CO2 reduction and water splitting technologies. His work employs advanced methodologies such as Bayesian optimization and neural network potentials to enhance material performance and understanding in various chemical processes.

Articles (14)

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2024

Year:

2023

Year:

2023

Year:

2023

Year:

2022

Year:

2022

Year:

2021

Year:

2021

Collaborators (4)

Miho Hatanaka

Associate Professor

Keio University

JAPAN

View details

Yosuke Harashima

Assistant Professor

Nara Institute of Science and Technology（NAIST）

JAPAN

View details

Tsuyoshi Ando

Associate Professor

Nara Institute of Science and Technology（NAIST）

JAPAN

View details

Akihide Iwase

JAPAN

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Tomoaki Takayama

Research Interests

Explore related searches

Contact this professor

About

Articles (14)

Improvement of performance to form syngas utilizing water and CO2 over a particulate-Cu0.8Ag0.2GaS2-based photocathode by surface co-modification with ZnS and Ag

Multi-objective Bayesian Optimization for Experimental Design in Copolymerization and Revealing Chemical Mechanism of Pareto Fronts

Experimental and Theoretical Factors in CO2 Reduction on Pd‐Based Electrocatalysts and their Applicability for Integration with Data Science and High‐Throughput Experiments

Data-Driven Approach Considering Imbalance in Data Sets and Experimental Conditions for Exploration of Photocatalysts

Divalent Cation Doping into SrTiO3 for Enhancing the Photocatalytic Performance of Water Splitting

Utilization of neural network potential for determining perovskite-type metal oxide photocathodes capable of producing hydrogen

Enhancing Photocathodic Performances of Particulate-CuGaS2-Based Photoelectrodes via Conjugation with Conductive Organic Polymers for Efficient Solar-Driven Hydrogen Production and CO2 Reduction

Extrapolation performance improvement by quantum chemical calculations for machine-learning-based predictions of flow-synthesized binary copolymers

Durable Electrocatalytic CO2 Reduction Using Intermetallic Compound PdIn Nanoparticles and Their Application to a Solar Energy Harvesting System

Water splitting and CO2 reduction over an AgSr2Ta5O15 photocatalyst developed by a valence band control strategy

CO2 Reduction Using Water as an Electron Donor over Heterogeneous Photocatalysts Aiming at Artificial Photosynthesis

Mechanochemical Acetylene Hydrogenation on Fragments of Ni-based Alloys Containing Oxophilic Metal Elements

Chemoselective Hydrogenation of Nitroarenes Using Ni−Fe Alloy Catalysts at Ambient Pressure

Hydrosilylation of carbonyls over electron-enriched Ni sites of intermetallic compound Ni3Ga heterogeneous catalyst

Collaborators (4)

Miho Hatanaka

Yosuke Harashima

Tsuyoshi Ando

Akihide Iwase

Make your next move.