Probing transport and slow relaxation in the mass-imbalanced Fermi-Hubbard model

Posted by klaurent Caltech

Kavli Affiliate: Nelson Darkwah Oppong| Summary:Constraints in the dynamics of quantum many-body systems can dramatically alter transport properties and relaxation timescales even in the absence of static disorder. Here, we report on the observation of such constrained dynamics arising from the distinct mobility of two species in the one-dimensional mass-imbalanced Fermi-Hubbard model, realized with ultracold […]


Continue.. Probing transport and slow relaxation in the mass-imbalanced Fermi-Hubbard model

Valley Bosonic Stimulation of Exciton-Polaritons in a Monolayer Semiconductor

Posted by klaurent Berkeley

Kavli Affiliate: Xiang Zhang | First 5 Authors: Pasquale Cilibrizzi, Xiaoze Liu, Peiyao Zhang, Chenzhe Wang, Quanwei Li | Summary: The newly discovered valley degree of freedom in atomically thin two-dimensional transition metal dichalcogenides offers a promising platform to explore rich nonlinear physics, such as spinor Bose-Einstein condensate (BEC) and novel valleytronics applications. However, the […]


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On the Convergence of Reinforcement Learning in Nonlinear Continuous State Space Problems

Posted by klaurent Peking

Kavli Affiliate: Ran Wang | First 5 Authors: Raman Goyal, Suman Chakravorty, Ran Wang, Mohamed Naveed Gul Mohamed, | Summary: We consider the problem of Reinforcement Learning for nonlinear stochastic dynamical systems. We show that in the RL setting, there is an inherent “Curse of Variance" in addition to Bellman’s infamous “Curse of Dimensionality", in […]


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Data Processing Pipeline For Tianlai Experiment

Posted by klaurent MIT

Kavli Affiliate: Kiyoshi W. Masui | First 5 Authors: Shifan Zuo, Jixia Li, Yichao Li, Das Santanu, Albert Stebbins | Summary: The Tianlai project is a 21cm intensity mapping experiment aimed at detecting dark energy by measuring the baryon acoustic oscillation (BAO) features in the large scale structure power spectrum. This experiment provides an opportunity […]


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Deep learning insights into cosmological structure formation

Posted by Chicago

Kavli Affiliate: Brian Nord | First 5 Authors: Luisa Lucie-Smith, Hiranya V. Peiris, Andrew Pontzen, Brian Nord, Jeyan Thiyagalingam | Summary: The evolution of linear initial conditions present in the early universe into extended halos of dark matter at late times can be computed using cosmological simulations. However, a theoretical understanding of this complex process […]


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Deep learning insights into cosmological structure formation

Posted by klaurent Chicago

Kavli Affiliate: Brian Nord | First 5 Authors: Luisa Lucie-Smith, Hiranya V. Peiris, Andrew Pontzen, Brian Nord, Jeyan Thiyagalingam | Summary: While the evolution of linear initial conditions present in the early universe into extended halos of dark matter at late times can be computed using cosmological simulations, a theoretical understanding of this complex process […]


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Design of Experiments for Verifying Biomolecular Networks

Posted by klaurent Oxford

Kavli Affiliate: Molly Stevens | Summary:There is a growing trend in molecular and synthetic biology of using mechanistic (non machine learning) models to design biomolecular networks. Once designed, these networks need to be validated by experimental results to ensure the theoretical network correctly models the true system. However, these experiments can be expensive and time […]


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Origin of the in-orbit instrumental background of the Hard X-ray Imager onboard Hitomi

Posted by dbos Tokyo

Kavli Affiliate: Shinichiro Takeda | First 5 Authors: Kouichi Hagino, Hirokazu Odaka, Goro Sato, Tamotsu Sato, Hiromasa Suzuki | Summary: Understanding and reducing the in-orbit instrumental backgrounds are essential to achieving high sensitivity in hard X-ray astronomical observations. The observational data of the Hard X-ray Imager (HXI) on board the Hitomi satellite provides useful information […]


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Constraints on Lightly Ionizing Particles from CDMSlite

Posted by klaurent Stanford

Kavli Affiliate: Paul Brink | Summary:The Cryogenic Dark Matter Search low ionization threshold experiment (CDMSlite) achieved efficient detection of very small recoil energies in its germanium target, resulting in sensitivity to Lightly Ionizing Particles (LIPs) in a previously unexplored region of charge, mass, and velocity parameter space. We report first direct-detection limits calculated using the […]


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Shaping Deep Feature Space towards Gaussian Mixture for Visual Classification

Posted by klaurent Peking

Kavli Affiliate: Jiansheng Chen | First 5 Authors: Weitao Wan, Jiansheng Chen, Cheng Yu, Tong Wu, Yuanyi Zhong | Summary: The softmax cross-entropy loss function has been widely used to train deep models for various tasks. In this work, we propose a Gaussian mixture (GM) loss function for deep neural networks for visual classification. Unlike […]


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