Perfect Coulomb drag and exciton transport in an excitonic insulator

Kavli Affiliate: Feng Wang | First 5 Authors: Ruishi Qi, Andrew Y. Joe, Zuocheng Zhang, Jingxu Xie, Qixin Feng | Summary: Strongly coupled two-dimensional electron-hole bilayers can give rise to novel quantum Bosonic states: electrons and holes in electrically isolated layers can pair into interlayer excitons, which can form a Bose-Einstein condensate below a critical […]


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Perfect Coulomb drag in a dipolar excitonic insulator

Kavli Affiliate: Jie Shan | First 5 Authors: Phuong X. Nguyen, Liguo Ma, Raghav Chaturvedi, Kenji Watanabe, Takashi Taniguchi | Summary: Excitonic insulators (EIs), arising in semiconductors when the electron-hole binding energy exceeds the band gap, are a solid-state prototype for bosonic phases of matter. Unlike the charged excitations that are frozen and unable to […]


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Multiferroic Magnon Spin-Torque Based Reconfigurable Logic-In-Memory

Kavli Affiliate: Daniel C. Ralph | First 5 Authors: Yahong Chai, Yuhan Liang, Cancheng Xiao, Yue Wang, Bo Li | Summary: Magnons, bosonic quasiparticles carrying angular momentum, can flow through insulators for information transmission with minimal power dissipation. However, it remains challenging to develop a magnon-based logic due to the lack of efficient electrical manipulation […]


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Geometric frustration of hard-disk packings on cones

Kavli Affiliate: Vinothan N. Manoharan | First 5 Authors: Jessica H. Sun, Abigail Plummer, Grace H. Zhang, David R. Nelson, Vinothan N. Manoharan | Summary: Conical surfaces pose an interesting challenge to crystal growth: a crystal growing on a cone can wrap around and meet itself at different radii. We use a disk-packing algorithm to […]


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Magnetism on the thermal dynamics of 2D antiferromagnetic membranes

Kavli Affiliate: Xiang Zhang | First 5 Authors: Xiang Zhang, Makars Siskins, Yaroslav Blanter, , | Summary: We developed a theoretical scheme of incorporating the magnetoelastic contribution into the thermal elastic dynamics for the thin membranes of 2D antiferromagnetic material with restricted geometry. We extended the elastic Gr"uneisen relation into an effective version which includes […]


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Magnetism on the thermal dynamics of 2D antiferromagnetic membranes

Kavli Affiliate: Xiang Zhang | First 5 Authors: Xiang Zhang, Makars Siskins, Yaroslav Blanter, , | Summary: We developed a theoretical scheme of incorporating the magnetoelastic contribution into the thermal elastic dynamics for the thin membranes of 2D antiferromagnetic material with restricted geometry. We extended the elastic Gr"uneisen relation into an effective version which includes […]


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Tackling the Unlimited Staleness in Federated Learning with Intertwined Data and Device Heterogeneities

Kavli Affiliate: Wei Gao | First 5 Authors: Haoming Wang, Wei Gao, , , | Summary: The efficiency of Federated Learning (FL) is often affected by both data and device heterogeneities. Data heterogeneity is defined as the heterogeneity of data distributions on different clients. Device heterogeneity is defined as the clients’ variant latencies in uploading […]


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Tackling the Unlimited Staleness in Federated Learning with Intertwined Data and Device Heterogeneities

Kavli Affiliate: Wei Gao | First 5 Authors: Haoming Wang, Wei Gao, , , | Summary: The efficiency of Federated Learning (FL) is often affected by both data and device heterogeneities. Data heterogeneity is defined as the heterogeneity of data distributions on different clients. Device heterogeneity is defined as the clients’ variant latencies in uploading […]


Continue.. Tackling the Unlimited Staleness in Federated Learning with Intertwined Data and Device Heterogeneities

Tackling the Unlimited Staleness in Federated Learning with Intertwined Data and Device Heterogeneities

Kavli Affiliate: Wei Gao | First 5 Authors: Haoming Wang, Wei Gao, , , | Summary: Federated Learning (FL) can be affected by data and device heterogeneities, caused by clients’ different local data distributions and latencies in uploading model updates (i.e., staleness). Traditional schemes consider these heterogeneities as two separate and independent aspects, but this […]


Continue.. Tackling the Unlimited Staleness in Federated Learning with Intertwined Data and Device Heterogeneities

Tackling Intertwined Data and Device Heterogeneities in Federated Learning with Unlimited Staleness

Kavli Affiliate: Wei Gao | First 5 Authors: Haoming Wang, Wei Gao, , , | Summary: Federated Learning (FL) can be affected by data and device heterogeneities, caused by clients’ different local data distributions and latencies in uploading model updates (i.e., staleness). Traditional schemes consider these heterogeneities as two separate and independent aspects, but this […]


Continue.. Tackling Intertwined Data and Device Heterogeneities in Federated Learning with Unlimited Staleness