Visualization of the Magnetostriction Mechanism in Fe-Ga Alloy Single Crystal Using Dimensionality Reduction Techniques

Understanding the Magnetic Microstructure through Experiments and Machine Learning Algorithms

(2022) Abhishek Talapatra et al.   ACS Applied Materials & Interfaces

Causal analysis and visualization of magnetization reversal using feature extended landau free energy

(2022) Sotaro Kunii et al.   Scientific Reports

Feature extended energy landscape model for interpreting coercivity mechanism

(2022) Alexandre Lira Foggiatto et al.   Communications Physics

Accelerated design of Fe-based soft magnetic materials using machine learning and stochastic optimization

(2020) Yuhao Wang et al.   ACTA MATERIALIA

Data‐Driven Materials Science: Status, Challenges, and Perspectives

(2019) Lauri Himanen et al.   Advanced Science

Recent advances and applications of machine learning in solid-state materials science

(2019) Jonathan Schmidt et al.   npj Computational Materials

Machine learning and the physical sciences

(2019) Giuseppe Carleo et al.   REVIEWS OF MODERN PHYSICS

Machine learning for molecular and materials science

(2018) Keith T. Butler et al.   NATURE

Magnetic Domain Structure and Magnetostriction of Fe-Ga Single Crystal Grown by the Czochralski Method

(2017) Shimpei Asano et al.   IEEE Magnetics Letters

Machine learning in materials informatics: recent applications and prospects

(2017) Rampi Ramprasad et al.   npj Computational Materials

Robust PCA via Principal Component Pursuit: A review for a comparative evaluation in video surveillance

(2014) Thierry Bouwmans et al.   COMPUTER VISION AND IMAGE UNDERSTANDING

Robust principal component analysis?

(2011) Emmanuel J. Candès et al.   JOURNAL OF THE ACM