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Filtering by: Author Andreas Dönni Journal Physical Review B Keyword data-driven technique based on machine learning Publisher American Physical Society (APS) Visibility open

Inelastic neutron scattering studies on the eight-spin zigzag-chain compound <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mrow><mml:msub><mml:mi>KCu</mml:mi><mml:mn>4</mml:mn></mml:msub><mml:msub><mml:mi mathvariant="normal">P</mml:mi><mml:mn>3</mml:mn></mml:msub><mml:msub><mml:mi mathvariant="normal">O</mml:mi><mml:mn>12</mml:mn></mml:msub></mml:mrow></mml:math>: Confirmation of the validity of a data-driven technique based on machine learning

Description/Abstract:

We performed inelastic neutron scattering (INS) experiments on KCu4P3O12 powder and compared the experimental results with those calculat...

Keyword:

Inelastic neutron scattering, data-driven technique based on machine learning, and eight-spin zigzag-chain compound KCu4P3O12

Resource Type:

Article

Author:

Masashi Hase, Ryo Tamura, Koji Hukushima, Shinichiro Asai, Takatsugu Masuda, Shinichi Itoh, and Andreas Dönni

Journal:

Physical Review B

Date Uploaded:

18/04/2024

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