相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。Curie Temperature of Sm2Fe17 and Nd2Fe14B: A First-Principles Study
Taro Fukazawa et al.
IEEE TRANSACTIONS ON MAGNETICS (2019)
First-principles study of spin-wave dispersion in Sm(Fe1-xCox)12
Taro Fukazawa et al.
JOURNAL OF MAGNETISM AND MAGNETIC MATERIALS (2019)
Accelerated Discovery of Large Electrostrains in BaTiO3-Based Piezoelectrics Using Active Learning
Ruihao Yuan et al.
ADVANCED MATERIALS (2018)
Learning structure-property relationship in crystalline materials: A study of lanthanide-transition metal alloys
Tien-Lam Pham et al.
JOURNAL OF CHEMICAL PHYSICS (2018)
First-principles Study of Intersite Magnetic Couplings and Curie Temperature in RFe12-xCrx (R = Y, Nd, Sm)
Taro Fukazawa et al.
JOURNAL OF THE PHYSICAL SOCIETY OF JAPAN (2018)
Bayesian optimization for efficient determination of metal oxide grain boundary structures
Shun Kikuchi et al.
PHYSICA B-CONDENSED MATTER (2018)
Matrix- and tensor-based recommender systems for the discovery of currently unknown inorganic compounds
Atsuto Seko et al.
PHYSICAL REVIEW MATERIALS (2018)
SISSO: A compressed-sensing method for identifying the best low-dimensional descriptor in an immensity of offered candidates
Runhai Ouyang et al.
PHYSICAL REVIEW MATERIALS (2018)
Effect of R-site substitution and the pressure on stability of RFe12: A first-principles study
Yosuke Harashima et al.
JOURNAL OF APPLIED PHYSICS (2018)
Important Descriptors and Descriptor Groups of Curie Temperatures of Rare-earth Transition-metal Binary Alloys
Hieu Chi Dam et al.
JOURNAL OF THE PHYSICAL SOCIETY OF JAPAN (2018)
First-principles study of intersite magnetic couplings in NdFe12 and NdFe12X (X=B, C, N, O, F)
Taro Fukazawa et al.
JOURNAL OF APPLIED PHYSICS (2017)
Machine learning reveals orbital interaction in materials
Tien Lam Pham et al.
SCIENCE AND TECHNOLOGY OF ADVANCED MATERIALS (2017)
Intrinsic hard magnetic properties of Sm(Fe1 - xCox)12 compound with the ThMn12 structure
Y. Hirayama et al.
SCRIPTA MATERIALIA (2017)
Designing Nanostructures for Phonon Transport via Bayesian Optimization
Shenghong Ju et al.
PHYSICAL REVIEW X (2017)
Multi-fidelity machine learning models for accurate bandgap predictions of solids
G. Pilania et al.
COMPUTATIONAL MATERIALS SCIENCE (2017)
First-principles study on stability and magnetism of NdFe11M and NdFe11MN for M = Ti, V, Cr, Mn, Fe, Co, Ni, Cu, Zn
Yosuke Harashima et al.
JOURNAL OF APPLIED PHYSICS (2016)
Novel mixture model for the representation of potential energy surfaces
Tien Lam Pham et al.
JOURNAL OF CHEMICAL PHYSICS (2016)
A new magnet material with ThMn12 structure: (Nd1-xZrx) (Fe1-yCoy)11+zTi1-zNα (α=0.6-1.3)
S. Suzuki et al.
JOURNAL OF MAGNETISM AND MAGNETIC MATERIALS (2016)
Influence of Zr substitution on the stabilization of ThMn12-type (Nd1-αZrα)(Fe0.75Co0.25)11.25Ti0.75N1.2-1.4 (α=0-0.3) compounds
N. Sakuma et al.
AIP ADVANCES (2016)
Low-cost Ce1-xSmx(Fe, Co, Ti)12 alloys for permanent magnets
A. M. Gabay et al.
AIP ADVANCES (2016)
(Sm,Zr)(Fe,Co)11.0-11.5Ti1.0-0.5 compounds as new permanent magnet materials
Tomoko Kuno et al.
AIP ADVANCES (2016)
Theoretical screening of intermetallic ThMn12-type phases for new hard-magnetic compounds with low rare earth content
Wolfgang Koerner et al.
SCIENTIFIC REPORTS (2016)
Intrinsic magnetic properties in R(Fe1-xCox)11TiZ (R = Y and Ce; Z = H, C, and N)
Liqin Ke et al.
PHYSICAL REVIEW B (2016)
Standard model of the rare earths analyzed from the Hubbard I approximation
I. L. M. Locht et al.
PHYSICAL REVIEW B (2016)
Rare-Earth Lean Hard Magnet Compound NdFe12N
Yusuke Hirayama et al.
JOM (2015)
Nitrogen as the best interstitial dopant among X = B, C, N, O, and F for strong permanent magnet NdFe11TiX: First-principles study
Yosuke Harashima et al.
PHYSICAL REVIEW B (2015)
Prediction of Low-Thermal-Conductivity Compounds with First-Principles Anharmonic Lattice-Dynamics Calculations and Bayesian Optimization
Atsuto Seko et al.
PHYSICAL REVIEW LETTERS (2015)
Big Data of Materials Science: Critical Role of the Descriptor
Luca M. Ghiringhelli et al.
PHYSICAL REVIEW LETTERS (2015)
NdFe12Nx hard-magnetic compound with high magnetization and anisotropy field
Y. Hirayama et al.
SCRIPTA MATERIALIA (2015)
First-Principles Study of Magnetocrystalline Anisotropy and Magnetization in NdFe12, NdFe11Ti, and NdFe11TiN
Takashi Miyake et al.
JOURNAL OF THE PHYSICAL SOCIETY OF JAPAN (2014)
A (Nd, Zr)(Fe, Co)11.5Ti0.5Nx compound as a permanent magnet material
S. Suzuki et al.
AIP ADVANCES (2014)
Fast and Accurate Modeling of Molecular Atomization Energies with Machine Learning
Matthias Rupp et al.
PHYSICAL REVIEW LETTERS (2012)
A Survey on Transfer Learning
Sinno Jialin Pan et al.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (2010)
How to quantify energy landscapes of solids
Artem R. Oganov et al.
JOURNAL OF CHEMICAL PHYSICS (2009)
First-principles calculation of the Curie temperature Slater-Pauling curve
C. Takahashi et al.
JOURNAL OF PHYSICS-CONDENSED MATTER (2007)
Predicting the output from a complex computer code when fast approximations are available
MC Kennedy et al.
BIOMETRIKA (2000)