Real-time propagation of adaptive sampling selected configuration interaction wave function

Kavli Affiliate: Birgitta Whaley | First 5 Authors: Avijit Shee, Zhen Huang, Martin Head-Gordon, K. Birgitta Whaley, | Summary: We have developed a new time propagation method, time-dependent adaptive sampling configuration interaction (TD-ASCI), to describe the dynamics of a strongly correlated system. We employ the short iterative Lanczos (SIL) method as the time-integrator, which provides […]


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Two-dimensional room temperature ferromagnetic semiconductors

Kavli Affiliate: Bo Gu | First 5 Authors: Jia-Wen Li, Gang Su, Bo Gu, , | Summary: To realize ferromagnetic semiconductors with high Curie temperature TC is still a challenge in spintronics. Recent experiments have obtained two-dimensional (2D) room temperature ferromagnetic metals, such as monolayers MnSe2 and Cr3Te6. In this paper, by the density functional […]


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Two-dimensional room temperature ferromagnetic semiconductors

Kavli Affiliate: Gang Su | First 5 Authors: Jia-Wen Li, Gang Su, Bo Gu, , | Summary: To realize ferromagnetic semiconductors with high Curie temperature TC is still a challenge in spintronics. Recent experiments have obtained two-dimensional (2D) room temperature ferromagnetic metals, such as monolayers MnSe2 and Cr3Te6. In this paper, by the density functional […]


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A halo model approach for mock catalogs of time-variable strong gravitational lenses

Kavli Affiliate: Philip J. Marshall | First 5 Authors: Katsuya T. Abe, Masamune Oguri, Simon Birrer, Narayan Khadka, Philip J. Marshall | Summary: Time delays in both galaxy- and cluster-scale strong gravitational lenses have recently attracted a lot of attention in the context of the Hubble tension. Future wide-field cadenced surveys, such as the LSST, […]


Continue.. A halo model approach for mock catalogs of time-variable strong gravitational lenses

A halo model approach for mock catalogs of time-variable strong gravitational lenses

Kavli Affiliate: Philip J. Marshall | First 5 Authors: Katsuya T. Abe, Masamune Oguri, Simon Birrer, Narayan Khadka, Philip J. Marshall | Summary: Time delays in both galaxy- and cluster-scale strong gravitational lenses have recently attracted a lot of attention in the context of the Hubble tension. Future wide-field cadenced surveys, such as the LSST, […]


Continue.. A halo model approach for mock catalogs of time-variable strong gravitational lenses

A halo model approach for mock catalogs of time-variable strong gravitational lenses

Kavli Affiliate: Philip J. Marshall | First 5 Authors: Katsuya T. Abe, Masamune Oguri, Simon Birrer, Narayan Khadka, Philip J. Marshall | Summary: Time delays in both galaxy- and cluster-scale strong gravitational lenses have recently attracted a lot of attention in the context of the Hubble tension. Future wide-field cadenced surveys, such as the LSST, […]


Continue.. A halo model approach for mock catalogs of time-variable strong gravitational lenses

A halo model approach for mock catalogs of time-variable strong gravitational lenses

Kavli Affiliate: Philip J. Marshall | First 5 Authors: Katsuya T. Abe, Masamune Oguri, Simon Birrer, Narayan Khadka, Philip J. Marshall | Summary: Time delays in both galaxy- and cluster-scale strong gravitational lenses have recently attracted a lot of attention in the context of the Hubble tension. Future wide-field cadenced surveys, such as the LSST, […]


Continue.. A halo model approach for mock catalogs of time-variable strong gravitational lenses

Modeling Extensive Defects in Metals through Active Machine Learning and Automated Configuration Reconstruction

Kavli Affiliate: Wei Gao | First 5 Authors: Fei Shuang, Kai Liu, Yucheng Ji, Wei Gao, Luca Laurenti | Summary: Extended defects such as dislocation networks and complex grain boundaries are ubiquitous in metals, and accurately modeling these extensive defects is crucial for understanding their deformation mechanisms. Existing machine learning interatomic potentials (MLIPs) often fall […]


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Modeling Extensive Defects in Metals through Classical Potential-Guided Sampling and Automated Configuration Reconstruction

Kavli Affiliate: Wei Gao | First 5 Authors: Fei Shuang, Kai Liu, Yucheng Ji, Wei Gao, Luca Laurenti | Summary: Extended defects such as dislocation networks and general grain boundaries are ubiquitous in metals, and accurately modeling these extensive defects is crucial for understanding their deformation mechanisms. Existing machine learning interatomic potentials (MLIPs) often fall […]


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Quantum Metrology for Gravitational Wave Astronomy

Kavli Affiliate: Nergis Mavalvala | First 5 Authors: Roman Schnabel, Nergis Mavalvala, David E. McClelland, Ping Koy Lam, | Summary: Einstein’s General Theory of Relativity predicts that accelerating mass distributions produce gravitational radiation, analogous to electromagnetic radiation from accelerating charges. These gravitational waves have not been directly detected to date, but are expected to open […]


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