The Lack of Non-Thermal Motions in Galaxy Cluster Cores

Kavli Affiliate: Sunil Golwala | First 5 Authors: Jack Sayers, Mauro Sereno, Stefano Ettori, Elena Rasia, Weiguang Cui | Summary: We report the non-thermal pressure fraction (Pnt/Ptot) obtained from a three-dimensional triaxial analysis of 16 galaxy clusters in the CLASH sample using gravitational lensing (GL) data primarily from Subaru and HST, X-ray spectroscopic imaging from […]


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Chemically-Localized Resonant Excitons in Silver-Pnictogen Halide Double Perovskites

Kavli Affiliate: Jeffrey B. Neaton | First 5 Authors: Raisa-Ioana Biega, Marina R. Filip, Linn Leppert, Jeffrey B. Neaton, | Summary: Halide double perovskites with alternating silver and pnictogen cations are an emerging family of photoabsorber materials with robust stability and band gaps in the visible range. However, the nature of optical excitations in these […]


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Event-Chain Monte-Carlo Simulations of Dense Soft Matter Systems

Kavli Affiliate: David Muller | First 5 Authors: Tobias A. Kampmann, David Müller, Clemens Franz Vorsmann, Lukas Paul Weise, Jan Kierfeld | Summary: We discuss the rejection-free event-chain Monte-Carlo algorithm and several applications to dense soft matter systems. Event-chain Monte-Carlo is an alternative to standard local Markov-chain Monte-Carlo schemes, which are based on detailed balance, […]


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Realization of a multi-node quantum network of remote solid-state qubits

Kavli Affiliate: Ronald Hanson | First 5 Authors: Matteo Pompili, Sophie L. N. Hermans, Simon Baier, Hans K. C. Beukers, Peter C. Humphreys | Summary: The distribution of entangled states across the nodes of a future quantum internet will unlock fundamentally new technologies. Here we report on the experimental realization of a three-node entanglement-based quantum […]


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Introduction to Machine Learning for the Sciences

Kavli Affiliate: Eliska Greplova | First 5 Authors: Titus Neupert, Mark H Fischer, Eliska Greplova, Kenny Choo, Michael Denner | Summary: This is an introductory machine learning course specifically developed with STEM students in mind. We discuss supervised, unsupervised, and reinforcement learning. The notes start with an exposition of machine learning methods without neural networks, […]


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Quantized and unquantized zero-bias tunneling conductance peaks in Majorana nanowires: Conductance below and above $ 2e^2/h $

Kavli Affiliate: Michael Wimmer | First 5 Authors: Haining Pan, Chun-Xiao Liu, Michael Wimmer, Sankar Das Sarma, | Summary: Majorana zero modes can appear at the wire ends of a 1D topological superconductor and manifest themselves as a quantized zero-bias conductance peak in the tunneling spectroscopy of normal-superconductor junctions. However, in superconductor-semiconductor hybrid nanowires, zero-bias […]


Continue.. Quantized and unquantized zero-bias tunneling conductance peaks in Majorana nanowires: Conductance below and above $ 2e^2/h $

Optimizing accuracy and efficacy in data-driven materials discovery for the solar production of hydrogen

Kavli Affiliate: Hector D. Abruna | First 5 Authors: Yihuang Xiong, Quinn T. Campbell, Julian Fanghanel, Catherine K. Badding, Huaiyu Wang | Summary: The production of hydrogen fuels, via water splitting, is of practical relevance for meeting global energy needs and mitigating the environmental consequences of fossil-fuel-based transportation. Water photoelectrolysis has been proposed as a […]


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Superresolution Reconstruction of Severely Undersampled Point-spread Functions Using Point-source Stacking and Deconvolution

Kavli Affiliate: James Bock | First 5 Authors: Teresa Symons, Michael Zemcov, James Bock, Yun-Ting Cheng, Brendan Crill | Summary: Point-spread function (PSF) estimation in spatially undersampled images is challenging because large pixels average fine-scale spatial information. This is problematic when fine-resolution details are necessary, as in optimal photometry where knowledge of the illumination pattern […]


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Automated Insulin Delivery for Type 1 Diabetes Mellitus Patients using Gaussian Process-based Model Predictive Control

Kavli Affiliate: Francis J. Doyle | First 5 Authors: Lukas Ortmann, Dawei Shi, Eyal Dassau, Francis J. Doyle III, Berno J. E. Misgeld | Summary: The human insulin-glucose metabolism is a time-varying process, which is partly caused by the changing insulin sensitivity of the body. This insulin sensitivity follows a circadian rhythm and its effects […]


Continue.. Automated Insulin Delivery for Type 1 Diabetes Mellitus Patients using Gaussian Process-based Model Predictive Control

Automated Insulin Delivery for Type 1 Diabetes Mellitus Patients using Gaussian Process-based Model Predictive Control

Kavli Affiliate: Francis J. Doyle | First 5 Authors: Lukas Ortmann, Dawei Shi, Eyal Dassau, Francis J. Doyle III, Berno J. E. Misgeld | Summary: The human insulin-glucose metabolism is a time-varying process, which is partly caused by the changing insulin sensitivity of the body. This insulin sensitivity follows a circadian rhythm and its effects […]


Continue.. Automated Insulin Delivery for Type 1 Diabetes Mellitus Patients using Gaussian Process-based Model Predictive Control