Atsuto Seko

发表

Atomic Distance Kernel for Material Property Prediction

Hisashi Kashima, Yukino Baba, Hirotaka Akita, 2017, ICONIP.

Machine learning potentials for multicomponent systems: The Ti-Al binary system

Atsuto Seko, 2020 .

Matrix- and tensor-based recommender systems for the discovery of currently unknown inorganic compounds

Hisashi Kashima, Atsuto Seko, Hiroyuki Hayashi, 2017, 1710.00659.

Compositional descriptor-based recommender system for the materials discovery.

Atsuto Seko, Hiroyuki Hayashi, Isao Tanaka, 2017, The Journal of chemical physics.

Linearized machine learning potential with high-order rotational polynomial invariants for multi-component systems

Atsuto Seko, Isao Tanaka, 2020 .

Machine Learning Potential Repository

Atsuto Seko, Atsuto Seko, 2020, 2007.14206.

Recommender Systems for Materials Discovery

Hisashi Kashima, Atsuto Seko, Hiroyuki Hayashi, 2020 .

Toward Materials Discovery with First-Principles Datasets and Learning Methods

Atsuto Seko, Isao Tanaka, Atsuto Seko, 2015 .

Quantum Energy Prediction Using Graph Kernel

Hisashi Kashima, Atsuto Seko, Jiuding Duan, 2015, 2015 IEEE International Conference on Systems, Man, and Cybernetics.

Recommender System of Successful Processing Conditions for New Compounds Based on a Parallel Experimental Data Set

Atsuto Seko, Hiroyuki Hayashi, Hiroyuki Hayashi, 2019 .

A Theoretical Study of Equilibrium Hydrogen Pressures of Ti-V Based Hydrogen Storage Alloys

Atsuto Seko, Takafumi Ogawa, Isao Tanaka, 2016 .

Representation of crystalline compounds for machine-learning prediction of physical properties

Atsuto Seko, Akira Takahashi, Keita Nakayama, 2016 .

Linearized machine-learning interatomic potentials for non-magnetic elemental metals: Limitation of pairwise descriptors and trend of predictive power.

Atsuto Seko, Akira Takahashi, Isao Tanaka, 2017, The Journal of chemical physics.

Grouping of structures for cluster expansion of multicomponent systems with controlled accuracy

Atsuto Seko, Isao Tanaka, Atsuto Seko, 2011 .

Sparse representation for a potential energy surface

Atsuto Seko, Isao Tanaka, Atsuto Seko, 2014, 1403.7995.

Cluster expansion of multicomponent ionic systems with controlled accuracy: importance of long-range interactions in heterovalent ionic systems

Atsuto Seko, Isao Tanaka, Atsuto Seko, 2013, Journal of physics. Condensed matter : an Institute of Physics journal.

Exploring Structures and Phase Relationships of Ceramics from First Principles

Atsuto Seko, 2010 .

Prediction of Low-Thermal-Conductivity Compounds with First-Principles Anharmonic Lattice-Dynamics Calculations and Bayesian Optimization.

Atsuto Seko, Hiroyuki Hayashi, Isao Tanaka, 2015, Physical review letters.

Representation of compounds for machine-learning prediction of physical properties

Atsuto Seko, Keita Nakayama, Hiroyuki Hayashi, 2016, 1611.08645.

First-Principles Selection of Solute Elements for Er-Stabilized Bi2O3 Oxide-Ion Conductor with Improved Long-Term Stability at Moderate Temperatures

Atsuto Seko, Yukinori Koyama, Rong Huang, 2017 .

Prediction model of band gap for inorganic compounds by combination of density functional theory calculations and machine learning techniques

Engineering, Atsuto Seko, Tsukuba, 2016 .

First-principles interatomic potentials for ten elemental metals via compressed sensing

Atsuto Seko, Isao Tanaka, Atsuto Seko, 2015, 1505.03994.

Descriptors for Machine Learning of Materials Data

Atsuto Seko, Isao Tanaka, Atsushi Togo, 2017, 1709.01666.

Machine learning with systematic density-functional theory calculations: Application to melting temperatures of single- and binary-component solids

Atsuto Seko, Isao Tanaka, Koji Tsuda, 2013, 1310.1546.

Cluster expansion method for multicomponent systems based on optimal selection of structures for density-functional theory calculations

Atsuto Seko, Yukinori Koyama, Isao Tanaka, 2009 .

Machine-learning-based selective sampling procedure for identifying the low-energy region in a potential energy surface: A case study on proton conduction in oxides

Masayuki Karasuyama, Atsuto Seko, Ichiro Takeuchi, 2015, 1512.00623.