Multiway junction conditions I: booklets and webs

Kavli Affiliate: Cheng Peng | First 5 Authors: Jia-Yin Shen, Cheng Peng, Li-Xin Li, , | Summary: We explore the construction of gluing together an arbitrary number of spacetimes along a common interface that gives a geometric structure we refer to as the booklet geometry. We derive junction conditions across the interface, in both Einstein […]


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Publication bias adjustment in network meta-analysis: an inverse probability weighting approach using clinical trial registries

Kavli Affiliate: Yi Zhou | First 5 Authors: Ao Huang, Yi Zhou, Satoshi Hattori, , | Summary: Network meta-analysis (NMA) is a useful tool to compare multiple interventions simultaneously in a single meta-analysis, it can be very helpful for medical decision making when the study aims to find the best therapy among several active candidates. […]


Continue.. Publication bias adjustment in network meta-analysis: an inverse probability weighting approach using clinical trial registries

Chirality-induced Phonon-Spin Conversion at an Interface

Kavli Affiliate: Mamoru Matsuo | First 5 Authors: Takumi Funato, Mamoru Matsuo, Takeo Kato, , | Summary: We consider spin injection driven by nonequilibrium chiral phonons from a chiral insulator into an adjacent metal. Phonon-spin conversion arises from the coupling of the electron spin with the microrotation associated with chiral phonons. We derive a microscopic […]


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Chirality-induced Phonon-Spin Conversion at an Interface

Kavli Affiliate: Mamoru Matsuo | First 5 Authors: Takumi Funato, Mamoru Matsuo, Takeo Kato, , | Summary: We consider spin injection driven by nonequilibrium chiral phonons from a chiral insulator into an adjacent metal. Phonon-spin conversion arises from the coupling of the electron spin with the microrotation associated with chiral phonons. We derive a microscopic […]


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Machine learning for industrial sensing and control: A survey and practical perspective

Kavli Affiliate: Biao Huang | First 5 Authors: Nathan P. Lawrence, Seshu Kumar Damarla, Jong Woo Kim, Aditya Tulsyan, Faraz Amjad | Summary: With the rise of deep learning, there has been renewed interest within the process industries to utilize data on large-scale nonlinear sensing and control problems. We identify key statistical and machine learning […]


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The Emergence of Antiferromagnetic Correlations and Kondo-like Features in a Two-Band Model for Infinite-Layer Nickelates

Kavli Affiliate: Cheng Peng | First 5 Authors: Fangze Liu, Cheng Peng, Edwin W. Huang, Brian Moritz, Chunjing Jia | Summary: We report a determinant quantum Monte Carlo study of a two-band model, inspired by infinite-layer nickelates, focusing on the influence of interlayer hybridization between $3d_{x^2-y^2}$ orbitals derived from Ni (or Ni and O) in […]


Continue.. The Emergence of Antiferromagnetic Correlations and Kondo-like Features in a Two-Band Model for Infinite-Layer Nickelates

The emergence of antiferromagnetic correlations and Kondo-like features in a two-band model for infinite-layer nickelates

Kavli Affiliate: Cheng Peng | First 5 Authors: Fangze Liu, Cheng Peng, Edwin W. Huang, Brian Moritz, Chunjing Jia | Summary: We report a determinant quantum Monte Carlo study of a two-band model, inspired by infinite-layer nickelates, focusing on the influence of interlayer hybridization between $3d_{x^2-y^2}$ orbitals derived from Ni (or Ni and O) in […]


Continue.. The emergence of antiferromagnetic correlations and Kondo-like features in a two-band model for infinite-layer nickelates