Numerical Simulations of Convective 3-Dimensional Red Supergiant Envelopes

Kavli Affiliate: Lars Bildsten | First 5 Authors: Jared A. Goldberg, Yan-Fei Jiang, Lars Bildsten, , | Summary: We explore the three-dimensional properties of convective, luminous ($Lapprox10^{4.5}-10^{5}L_odot$), Hydrogen-rich envelopes of Red Supergiants (RSGs) based on radiation hydrodynamic simulations in spherical geometry using $texttt{Athena++}$. These computations comprise $approx30%$ of the stellar volume, include gas and radiation […]


Continue.. Numerical Simulations of Convective 3-Dimensional Red Supergiant Envelopes

Statistical Mechanics Model for Clifford Random Tensor Networks and Monitored Quantum Circuits

Kavli Affiliate: Matthew P. A. Fisher | First 5 Authors: Yaodong Li, Romain Vasseur, Matthew P. A. Fisher, Andreas W. W. Ludwig, | Summary: We introduce an exact mapping of Clifford (stabilizer) random tensor networks (RTNs) and monitored quantum circuits, onto a statistical mechanics model. With Haar unitaries, the fundamental degrees of freedom (‘spins’) are […]


Continue.. Statistical Mechanics Model for Clifford Random Tensor Networks and Monitored Quantum Circuits

Mass Transfer and Stellar Evolution of the White Dwarfs in AM CVn Binaries

Kavli Affiliate: Lars Bildsten | First 5 Authors: Tin Long Sunny Wong, Lars Bildsten, , , | Summary: We calculate the stellar evolution of both white dwarfs (WDs) in AM CVn binaries with orbital periods of $P_{mathrm{orb}} approx 5-70$ minutes. We focus on the cases where the donor starts as a $M_{mathrm{He}} < 0.2 , […]


Continue.. Mass Transfer and Stellar Evolution of the White Dwarfs in AM CVn Binaries

The free energy of twisting spins in Mn$_3$Sn

Kavli Affiliate: Leon Balents | First 5 Authors: Xiaokang Li, Shan Jiang, Qingkai Meng, Huakun Zuo, Zengwei Zhu | Summary: The magnetic free energy is usually quadratic in magnetic field and depends on the mutual orientation of the magnetic field and the crystalline axes. Tiny in magnitude, this magnetocrystalline anisotropy energy (MAE) is nevertheless indispensable […]


Continue.. The free energy of twisting spins in Mn$_3$Sn

Geometric rigidity and anomalous elasticity of cellular tissue vertex model

Kavli Affiliate: Mark J. Bowick | First 5 Authors: Arthur Hernandez, Michael F. Staddon, Mark J. Bowick, M. Cristina Marchetti, Michael Moshe | Summary: Vertex Models, as used to describe cellular tissue, have an energy controlled by deviations from both a target area and a target perimeter. The constrained nonlinear relation between area and perimeter, […]


Continue.. Geometric rigidity and anomalous elasticity of cellular tissue vertex model

Anomalous elasticity of cellular tissue vertex model

Kavli Affiliate: Mark J. Bowick | First 5 Authors: Arthur Hernandez, Michael F. Staddon, Mark J. Bowick, M. Cristina Marchetti, Michael Moshe | Summary: Vertex Models, as used to describe cellular tissue, have an energy controlled by deviations of each cell area and perimeter from target values. The constrained nonlinear relation between area and perimeter […]


Continue.. Anomalous elasticity of cellular tissue vertex model

Assisted Learning for Organizations with Limited Data

Kavli Affiliate: Yi Zhou | First 5 Authors: Cheng Chen, Jiaying Zhou, Jie Ding, Yi Zhou, | Summary: We develop an assisted learning framework for assisting organization-level learners to improve their learning performance with limited and imbalanced data. In particular, learners at the organization level usually have sufficient computation resource, but are subject to stringent […]


Continue.. Assisted Learning for Organizations with Limited Data

Assisted Learning for Organizations with Limited Imbalanced Data

Kavli Affiliate: Yi Zhou | First 5 Authors: Cheng Chen, Jiaying Zhou, Jie Ding, Yi Zhou, | Summary: In the era of big data, many big organizations are integrating machine learning into their work pipelines to facilitate data analysis. However, the performance of their trained models is often restricted by limited and imbalanced data available […]


Continue.. Assisted Learning for Organizations with Limited Imbalanced Data

Video Pose Distillation for Few-Shot, Fine-Grained Sports Action Recognition

Kavli Affiliate: Matthew Fisher | First 5 Authors: James Hong, Matthew Fisher, MichaĆ«l Gharbi, Kayvon Fatahalian, | Summary: Human pose is a useful feature for fine-grained sports action understanding. However, pose estimators are often unreliable when run on sports video due to domain shift and factors such as motion blur and occlusions. This leads to […]


Continue.. Video Pose Distillation for Few-Shot, Fine-Grained Sports Action Recognition

Subregion Spectrum Form Factor via Pseudo Entropy

Kavli Affiliate: Masahiro Nozaki | First 5 Authors: Kanato Goto, Masahiro Nozaki, Kotaro Tamaoka, , | Summary: We introduce a subsystem generalization of the spectral form factor via pseudo entropy, the von-Neumann entropy for the reduced transition matrix. We consider a transition matrix between the thermofield double state and its time-evolved state in two-dimensional conformal […]


Continue.. Subregion Spectrum Form Factor via Pseudo Entropy