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 […]


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

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

The $M_{rm BH}-M_*$ relation up to $zsim2$ through decomposition of COSMOS-Web NIRCam images

Kavli Affiliate: John D. Silverman | First 5 Authors: Takumi S. Tanaka, John D. Silverman, Xuheng Ding, Knud Jahnke, Benny Trakhtenbrot | Summary: Our knowledge of relations between supermassive black holes and their host galaxies at $zgtrsim1$ is still limited, even though being actively sought out to $zsim6$. Here, we use the high resolution and […]


Continue.. The $M_{rm BH}-M_*$ relation up to $zsim2$ through decomposition of COSMOS-Web NIRCam images

The $M_{rm BH}-M_*$ relation up to $zsim2$ through decomposition of COSMOS-Web NIRCam images

Kavli Affiliate: John D. Silverman | First 5 Authors: Takumi S. Tanaka, John D. Silverman, Xuheng Ding, Knud Jahnke, Benny Trakhtenbrot | Summary: Our knowledge of relations between supermassive black holes and their host galaxies at $zgtrsim1$ is still limited, even though being actively sought out to $zsim6$. Here, we use the high resolution and […]


Continue.. The $M_{rm BH}-M_*$ relation up to $zsim2$ through decomposition of COSMOS-Web NIRCam images

Varying primordial state fractions in exo- and endothermic SIDM simulations of Milky Way-mass haloes

Kavli Affiliate: Mark Vogelsberger | First 5 Authors: Aidan Leonard, Stephanie O’Neil, Xuejian Shen, Mark Vogelsberger, Olivia Rosenstein | Summary: Self-interacting dark matter (SIDM) is increasingly studied as a potential solution to small-scale discrepancies between simulations of cold dark matter (CDM) and observations. We examine a physically motivated two-state SIDM model with both elastic and […]


Continue.. Varying primordial state fractions in exo- and endothermic SIDM simulations of Milky Way-mass haloes

Layer-Dependent Quantum Anomalous Hall Effect in Rhombohedral Graphene

Kavli Affiliate: Jing Wang | First 5 Authors: Zhaochen Liu, Jing Wang, , , | Summary: The quantum anomalous Hall (QAH) effect, first proposed by the Haldane model, has become a paradigmatic example of application of band topology to condensed matter physics. The recent experimental discoveries of high Chern number QAH effect in pentalayer and […]


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Towards Explainable Harmful Meme Detection through Multimodal Debate between Large Language Models

Kavli Affiliate: Wei Gao | First 5 Authors: Hongzhan Lin, Ziyang Luo, Wei Gao, Jing Ma, Bo Wang | Summary: The age of social media is flooded with Internet memes, necessitating a clear grasp and effective identification of harmful ones. This task presents a significant challenge due to the implicit meaning embedded in memes, which […]


Continue.. Towards Explainable Harmful Meme Detection through Multimodal Debate between Large Language Models