2026 Ryoji Asahi: Materials Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Materials Science	41	12642	12229	797	760	183	26701

Overview

Ryoji Asahi is a researcher affiliated with Toyota Motor Corporation in Japan. Their work focuses primarily on materials science and engineering, with a significant emphasis on materials chemistry and electrical and electronic engineering.

The scientist's research spans multiple interconnected subfields including:

Materials Chemistry
Electrical and Electronic Engineering
Inorganic Chemistry
Electronic, Optical and Magnetic Materials
Artificial Intelligence

They have contributed to research on various scientific topics such as:

Machine Learning in Materials Science
Electronic and Structural Properties of Oxides
Ferroelectric and Piezoelectric Materials
Advanced Battery Materials and Technologies
X-ray Diffraction in Crystallography
Advancements in Battery Materials
Inorganic Fluorides and Related Compounds

Their publication record includes recent papers delivered in well-known scientific journals and venues, as follows:

"Descriptors representing two- and three-body atomic distributions and their effects on the accuracy of machine-learned inter-atomic potentials," 2020, The Journal of Chemical Physics
"On-the-Fly Active Learning of Interatomic Potentials for Large-Scale Atomistic Simulations," 2020, The Journal of Physical Chemistry Letters
"Transfer learning for materials informatics using crystal graph convolutional neural network," 2021, Computational Materials Science
"Molecular dynamics simulations of lithium superionic conductor Li10GeP2S12 using a machine learning potential," 2021, Solid State Ionics
"Discovery of superionic conductors by ensemble-scope descriptor," 2020, NPG Asia Materials

Asahi frequently publishes in several established venues, including:

arXiv (Cornell University)
Scientific Reports
Solid State Ionics
Chemistry of Materials
Inorganic Chemistry

Their collaborative work is reflected through repeated coauthorship with several researchers, notably:

Alex Kutana
Joohwi Lee
Ryosuke Jinnouchi
Nobuko Ohba
Tsuyoshi Takami

Best Publications

Visible-Light Photocatalysis in Nitrogen-Doped Titanium Oxides

R. Asahi;T. Morikawa;T. Ohwaki;K. Aoki

15671
Citations
Nitrogen-doped titanium dioxide as visible-light-sensitive photocatalyst: designs, developments, and prospects.

Ryoji Asahi;Takeshi Morikawa;Hiroshi Irie;Takeshi Ohwaki

1381
Citations
Optically tunable amino-functionalized graphene quantum dots

Hiroyuki Tetsuka;Ryoji Asahi;Akihiro Nagoya;Kazuo Okamoto

1042
Citations
Electronic and optical properties of anatase TiO 2

R. Asahi;Y. Taga;W. Mannstadt;A. J. Freeman

1007
Citations
Band-Gap Narrowing of Titanium Dioxide by Nitrogen Doping

Takeshi Morikawa;Ryoji Asahi;Takeshi Ohwaki;Koyu Aoki

793
Citations
Electronic structure and physical properties of early transition metal mononitrides: Density-functional theory LDA, GGA, and screened-exchange LDA FLAPW calculations

C. Stampfl;W. Mannstadt;W. Mannstadt;R. Asahi;R. Asahi;Arthur J Freeman

614
Citations
Cu 2 ZnSnS 4 as a potential photovoltaic material: A hybrid Hartree-Fock density functional theory study

Joachim Paier;Ryoji Asahi;Akihiro Nagoya;Georg Kresse

586
Citations
Defect formation and phase stability of Cu 2 ZnSnS 4 photovoltaic material

Akihiro Nagoya;Ryoji Asahi;Roman Wahl;Georg Kresse

394
Citations
Nitrogen complex species and its chemical nature in TiO2 for visible-light sensitized photocatalysis

Ryoji Asahi;Takeshi Morikawa

293
Citations
Predicting Catalytic Activity of Nanoparticles by a DFT-Aided Machine-Learning Algorithm

Ryosuke Jinnouchi;Ryoji Asahi

270
Citations
Descriptors representing two- and three-body atomic distributions and their effects on the accuracy of machine-learned inter-atomic potentials.

Ryosuke Jinnouchi;Ferenc Karsai;Carla Verdi;Ryoji Asahi

223
Citations
Electronic structure and small polaron hole transport of copper aluminate

B. J. Ingram;T. O. Mason;R. Asahi;K. T. Park

204
Citations
Effect of GGA on the half-metallicity of the itinerant ferromagnet CoS 2

Tatsuya Shishidou;Arthur J Freeman;Ryoji Asahi

204
Citations
Microstructure recognition using convolutional neural networks for prediction of ionic conductivity in ceramics

Ruho Kondo;Shunsuke Yamakawa;Yumi Masuoka;Shin Tajima

196
Citations
Optical properties and electronic structures of semiconductors with screened-exchange lda

R. Asahi;W. Mannstadt;Arthur J Freeman

193
Citations
On-the-Fly Active Learning of Interatomic Potentials for Large-Scale Atomistic Simulations

Ryosuke Jinnouchi;Kazutoshi Miwa;Ferenc Karsai;Georg Kresse

185
Citations
Indium-cadmium-oxide films having exceptional electrical conductivity and optical transparency: Clues for optimizing transparent conductors

A. Wang;J. R. Babcock;N. L. Edleman;A. W. Metz

180
Citations
Photocatalytic material, photocatalyst, photocatalytic article, and method for the preparation thereof

Morikawa Takeshi;Asahi Ryoji;Ohwaki Takeshi;Taga Yasunori

174
Citations
Properties of the gold oxides Au 2 O 3 and Au 2 O : First-principles investigation

Hongqing Shi;Ryoji Asahi;Catherine Stampfl

170
Citations
First-principles study of Cu2ZnSnS4 and the related band offsets for photovoltaic applications.

A Nagoya;R Asahi;G Kresse

159
Citations
Electronic structure of misfit-layered calcium cobaltite

Ryoji Asahi;Jun Sugiyama;Toshihiko Tani

146
Citations
Computational band-structure engineering of III–V semiconductor alloys

Clint B. Geller;Walter Wolf;Silvia Picozzi;Alessandra Continenza

121
Citations
What Makes the Photocatalytic CO2 Reduction on N-Doped Ta2O5 Efficient: Insights from Nonadiabatic Molecular Dynamics.

Alexey V. Akimov;Ryoji Asahi;Ryosuke Jinnouchi;Oleg V. Prezhdo

119
Citations
Band-Gap Narrowing of Titanium Dioxide by Nitrogen Doping : Optical Properties of Condensed Matter

Takeshi Morikawa;Ryoji Asahi;Takeshi Ohwaki;Koyu Aoki

0
Citations