Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Ryoji Asahi

Showing results (1-10 of 26) with videos related to

Pageof 3
Sort By:
The Journal of Physical Chemistry Letters|August 25, 2017
Predicting Catalytic Activity of Nanoparticles by a DFT-Aided Machine-Learning AlgorithmRyosuke Jinnouchi, Ryoji Asahi
Scientific Reports|February 24, 2019
Oxygen conduction mechanism in Ca<sub>3</sub>Fe<sub>2</sub>Ge<sub>3</sub>O<sub>12</sub> garnet-type oxideJoohwi Lee, Nobuko Ohba, Ryoji Asahi
Science and Technology of Advanced Materials|March 14, 2019
First-principles prediction of high oxygen-ion conductivity in trilanthanide gallates Ln<sub>3</sub>GaO<sub>6</sub>Joohwi Lee, Nobuko Ohba, Ryoji Asahi
Scientific Reports|March 7, 2023
Permittivity boosting by induced strain from local doping in titanates from first principlesAlex Kutana, Yuho Shimano, Ryoji Asahi
RSC Advances|May 11, 2022
Discovery of zirconium dioxides for the design of better oxygen-ion conductors using efficient algorithms beyond data miningJoohwi Lee, Nobuko Ohba, Ryoji Asahi
Scientific Reports|December 14, 2023
Machine learning and atomistic origin of high dielectric permittivity in oxidesYuho Shimano, Alex Kutana, Ryoji Asahi
ACS Omega|March 16, 2026
Oxidation and Chlorination Reaction Characteristics: A Density Functional Theory Perspective toward the Fundamental Understanding of Etching of Ruthenium and Tantalum SurfacesPradeep R Varadwaj, Yutaka Imamura, Ryoji Asahi
Scientific Reports|May 14, 2025
Representing Born effective charges with equivariant graph convolutional neural networksAlex Kutana, Koji Shimizu, Satoshi Watanabe, et al.
Scientific Reports|December 7, 2017
A Universal 3D Voxel Descriptor for Solid-State Material Informatics with Deep Convolutional Neural NetworksSeiji Kajita, Nobuko Ohba, Ryosuke Jinnouchi, et al.
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|December 17, 2013
Effects of viscosity, surface tension, and evaporation rate of solvent on dry colloidal structures: a lattice Boltzmann studyToshihisa Munekata, Takahisa Suzuki, Shunsuke Yamakawa, et al.
Pageof 3

Showing results (1-10 of 26) with videos related to

Sort By:
Pageof 3
The Journal of Physical Chemistry Letters|August 25, 2017
Predicting Catalytic Activity of Nanoparticles by a DFT-Aided Machine-Learning AlgorithmRyosuke Jinnouchi, Ryoji Asahi
Scientific Reports|February 24, 2019
Oxygen conduction mechanism in Ca<sub>3</sub>Fe<sub>2</sub>Ge<sub>3</sub>O<sub>12</sub> garnet-type oxideJoohwi Lee, Nobuko Ohba, Ryoji Asahi
Science and Technology of Advanced Materials|March 14, 2019
First-principles prediction of high oxygen-ion conductivity in trilanthanide gallates Ln<sub>3</sub>GaO<sub>6</sub>Joohwi Lee, Nobuko Ohba, Ryoji Asahi
Scientific Reports|March 7, 2023
Permittivity boosting by induced strain from local doping in titanates from first principlesAlex Kutana, Yuho Shimano, Ryoji Asahi
RSC Advances|May 11, 2022
Discovery of zirconium dioxides for the design of better oxygen-ion conductors using efficient algorithms beyond data miningJoohwi Lee, Nobuko Ohba, Ryoji Asahi
Scientific Reports|December 14, 2023
Machine learning and atomistic origin of high dielectric permittivity in oxidesYuho Shimano, Alex Kutana, Ryoji Asahi
ACS Omega|March 16, 2026
Oxidation and Chlorination Reaction Characteristics: A Density Functional Theory Perspective toward the Fundamental Understanding of Etching of Ruthenium and Tantalum SurfacesPradeep R Varadwaj, Yutaka Imamura, Ryoji Asahi
Scientific Reports|May 14, 2025
Representing Born effective charges with equivariant graph convolutional neural networksAlex Kutana, Koji Shimizu, Satoshi Watanabe, et al.
Scientific Reports|December 7, 2017
A Universal 3D Voxel Descriptor for Solid-State Material Informatics with Deep Convolutional Neural NetworksSeiji Kajita, Nobuko Ohba, Ryosuke Jinnouchi, et al.
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|December 17, 2013
Effects of viscosity, surface tension, and evaporation rate of solvent on dry colloidal structures: a lattice Boltzmann studyToshihisa Munekata, Takahisa Suzuki, Shunsuke Yamakawa, et al.
Pageof 3