Atsuto Seko - Concepedia

Author

Atsuto Seko

Kyoto University ORCID

Also Known As

A Seko, A. Seko, Atsuto Seko, Atsuto, Seko, Seko, Atsuto

131

Publications

4.6K

Citations

H-Index

138

Concepts

All Affiliations

Kyoto University Japan Fine Ceramics Center National Institute for Materials Science Japan Science and Technology Agency The University of Tokyo

About

Atsuto Seko is an author at Kyoto University specializing in engineering, materials science, and applied physics.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	23	31	1.7K
2	Applied Physics	17	20	1.3K
3	Natural Sciences	15	17	742
4	Medicine	9	9	422
5	Biochemistry	7	7	278

Atsuto Seko

Publications

4.1K

Citations

H-Index

Page 1

	Year	Citations
Prediction of Low-Thermal-Conductivity Compounds with First-Principles Anharmonic Lattice-Dynamics Calculations and Bayesian Optimization Atsuto Seko, Atsushi Togo, Hiroyuki Hayashi, Physical Review Letters	2015	449
Prediction model of band gap for inorganic compounds by combination of density functional theory calculations and machine learning techniques Joohwi Lee, Atsuto Seko, Kazuki Shitara, Physical review. B./Physical review. B	2016	330
Representation of compounds for machine-learning prediction of physical properties Atsuto Seko, Hiroyuki Hayashi, Keita Nakayama, Physical review. B./Physical review. B	2017	307
Machine learning with systematic density-functional theory calculations: Application to melting temperatures of single- and binary-component solids Atsuto Seko, Tomoya Maekawa, Koji Tsuda, Physical Review B	2014	303
Accelerated Materials Design of Lithium Superionic Conductors Based on First‐Principles Calculations and Machine Learning Algorithms Koji Fujimura, Atsuto Seko, Yukinori Koyama, Advanced Energy Materials EngineeringMachine Learning AlgorithmsMaterial SimulationMachine-learning TechniqueSuperconductivity	2013	233
Structure and Stability of a Homologous Series of Tin Oxides Atsuto Seko, Atsushi Togo, Fumiyasu Oba, Physical Review Letters EngineeringSolid-state ChemistryComputational ChemistryChemistryRutile Lattice	2008	164
Cluster expansion method for multicomponent systems based on optimal selection of structures for density-functional theory calculations Atsuto Seko, Yukinori Koyama, Isao Tanaka Physical Review B EngineeringMechanical EngineeringMaterial SimulationComputational ChemistryStructural Optimization	2009	149
Purification and enzymatic properties of peptide:N-glycanase from C3H mouse-derived L-929 fibroblast cells. Possible widespread occurrence of post-translational remodification of proteins by N-deglycosylation Tadashi Suzuki, Atsuto Seko, Ken Kitajima, Journal of Biological Chemistry	1994	143
Prediction of ground-state structures and order-disorder phase transitions in II-III spinel oxides: A combined cluster-expansion method and first-principles study Atsuto Seko, Koretaka Yuge, Fumiyasu Oba, Physical Review B Crystal StructureEngineeringOrder-disorder Phase TransitionsComputational ChemistryFirst Principles Calculations	2006	114
Identification of Peptide:N-Glycanase Activity in Mammalian-Derived Cultured Cells Tadashi Suzuki, Atsuto Seko, Ken Kitajima, Biochemical and Biophysical Research Communications GlycobiologyCell CultureCellular BiochemistryMedicineCell Biology	1993	100

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