Second-order optical response of superconductors induced by supercurrent injection

Kavli Affiliate: Jing Wang | First 5 Authors: Linghao Huang, Jing Wang, , , | Summary: We develop a theory of the nonlinear optical responses in superconducting systems in the presence of a dc supercurrent. The optical transitions between particle-hole pair bands across the superconducting gap are allowed in clean superconductors as the inversion-symmetry-breaking by […]


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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 […]


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: 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 […]


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ImAge: an imaging approach to quantitate aging and rejuvenation

Kavli Affiliate: Tatyana Sharpee | Authors: Martin Alvarez-Kuglen, Delany Rodriguez, Haodong Qin, Kenta Ninomiya, Lorenzo Fiengo, Chen Farhy, Aaron Havas, Wei-Mien Hsu, Gen-Sheng Feng, Amanda Roberts, Rozalyn M Anderson, Manuel Serrano, Peter D Adams, Tatyana O Sharpee and Alexey Terskikh | Summary: Biomarkers of biological age that predict the risk of disease and expected lifespan […]


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MCell4 with BioNetGen: A Monte Carlo Simulator of Rule-Based Reaction-Diffusion Systems with Python Interface

Kavli Affiliate: Terrence Sejnowski | Authors: Adam Husar, Mariam Ordyan, Guadalupe C Garcia, Joel G Yancey, Ali S Saglam, James Faeder, Thomas M Bartol, Jr., Mary B Kennedy and Terrence J Sejnowski | Summary: Biochemical signaling pathways in living cells are often highly organized into spatially segregated volumes, membranes, scaffolds, subcellular compartments, and organelles comprising […]


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Acetylcholine signaling in the medial prefrontal cortex mediates the ability to learn an active avoidance response following learned helplessness training

Kavli Affiliate: Marina Picciotto | Authors: Zuhair I Abdulla, Yann S Mineur, Richard B Crouse, Ian M Etherington, Hanna Yousuf, Jessica J Na and Marina R Picciotto | Summary: Increased brain levels of acetylcholine (ACh) are observed in subsets of patients with depression and increasing ACh levels chronically can precipitate stress-related behaviors in humans and […]


Continue.. Acetylcholine signaling in the medial prefrontal cortex mediates the ability to learn an active avoidance response following learned helplessness training