Evaluating performance and portability of high-level programming models: Julia, Python/Numba, and Kokkos on exascale nodes

Posted by UCLA

Kavli Affiliate: Jeffrey F. Miller | First 5 Authors: William F. Godoy, Pedro Valero-Lara, T. Elise Dettling, Christian Trefftz, Ian Jorquera | Summary: We explore the performance and portability of the high-level programming models: the LLVM-based Julia and Python/Numba, and Kokkos on high-performance computing (HPC) nodes: AMD Epyc CPUs and MI250X graphical processing units (GPUs) […]


Continue.. Evaluating performance and portability of high-level programming models: Julia, Python/Numba, and Kokkos on exascale nodes

A Distributionally Robust Random Utility Model

Posted by klaurent Cornell

Kavli Affiliate: David Muller | First 5 Authors: David Müller, Emerson Melo, Ruben Schlotter, , | Summary: This paper introduces the distributionally robust random utility model (DRO-RUM), which allows the preference shock (unobserved heterogeneity) distribution to be misspecified or unknown. We make three contributions using tools from the literature on robust optimization. First, by exploiting […]


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Single-Step Synthesis of Shape-Controlled Polymeric Particles using Initiated Chemical Vapor Deposition in Liquid Crystals

Posted by klaurent Cornell

Kavli Affiliate: Nicholas L. Abbott | First 5 Authors: Apoorva Jain, Soumyamouli Pal, Nicholas L. Abbott, Rong Yang, | Summary: The ability to synthesize shape-controlled polymer particles will benefit a wide range of applications including targeted drug delivery and metamaterials with reconfigurable structures, but existing synthesis approaches are commonly multistep and limited to a narrow […]


Continue.. Single-Step Synthesis of Shape-Controlled Polymeric Particles using Initiated Chemical Vapor Deposition in Liquid Crystals

Single-Step Synthesis of Shape-Controlled Polymeric Particles using Initiated Chemical Vapor Deposition in Liquid Crystals

Posted by klaurent Cornell

Kavli Affiliate: Nicholas L. Abbott | First 5 Authors: Apoorva Jain, Soumyamouli Pal, Nicholas L. Abbott, Rong Yang, | Summary: The ability to synthesize shape-controlled polymer particles will benefit a wide range of applications including targeted drug delivery and metamaterials with reconfigurable structures, but existing synthesis approaches are commonly multistep and limited to a narrow […]


Continue.. Single-Step Synthesis of Shape-Controlled Polymeric Particles using Initiated Chemical Vapor Deposition in Liquid Crystals

Advanced Techniques in Automated High Resolution Scanning Transmission Electron Microscopy

Posted by dbos Berkeley

Kavli Affiliate: Paul Alivisatos | First 5 Authors: Alexander Pattison, Cassio C. S. Pedroso, Bruce E. Cohen, Justin C. Ondry, A. Paul Alivisatos | Summary: Scanning transmission electron microscopy is a common tool used to study the atomic structure of materials. It is an inherently multimodal tool allowing for the simultaneous acquisition of multiple information […]


Continue.. Advanced Techniques in Automated High Resolution Scanning Transmission Electron Microscopy

Advanced Techniques in Automated High Resolution Scanning Transmission Electron Microscopy

Posted by dbos Berkeley

Kavli Affiliate: Paul Alivisatos | First 5 Authors: Alexander Pattison, Cassio C. S. Pedroso, Bruce E. Cohen, Justin C. Ondry, A. Paul Alivisatos | Summary: Scanning transmission electron microscopy is a common tool used to study the atomic structure of materials. It is an inherently multimodal tool allowing for the simultaneous acquisition of multiple information […]


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Estimation of the Directions for Unknown Parameters in Semiparametric Models

Posted by Caltech

Kavli Affiliate: Wei Gao | First 5 Authors: Jinyue Han, Jun Wang, Wei Gao, Man-Lai Tang, | Summary: Semiparametric models are useful in econometrics, social sciences and medicine application. In this paper, a new estimator based on least square methods is proposed to estimate the direction of unknown parameters in semi-parametric models. The proposed estimator […]


Continue.. Estimation of the Directions for Unknown Parameters in Semiparametric Models

Estimation of the Directions for Unknown Parameters in Semiparametric Models

Posted by Caltech

Kavli Affiliate: Wei Gao | First 5 Authors: Jinyue Han, Jun Wang, Wei Gao, Man-Lai Tang, | Summary: Semiparametric models are useful in econometrics, social sciences and medicine application. In this paper, a new estimator based on least square methods is proposed to estimate the direction of unknown parameters in semi-parametric models. The proposed estimator […]


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Improved bounds on the bosonic dark matter with pulsars in the Milky Way

Posted by klaurent Peking

Kavli Affiliate: Lijing Shao | First 5 Authors: Dicong Liang, Lijing Shao, , , | Summary: Neutron stars (NSs) can be used to constrain dark matter (DM) since a NS can transform into a black hole (BH) if it captures sufficient DM particles and exceeds the Chandrasekhar limit. We extend earlier work and for the […]


Continue.. Improved bounds on the bosonic dark matter with pulsars in the Milky Way