Uncovering Material Deformations via Machine Learning Combined with Four-Dimensional Scanning Transmission Electron Microscopy

Posted by klaurent Cornell

Kavli Affiliate: David A. Muller | First 5 Authors: Chuqiao Shi, Michael C. Cao, Sarah M. Rehn, Sang-Hoon Bae, Jeehwan Kim | Summary: Understanding lattice deformations is crucial in determining the properties of nanomaterials, which can become more prominent in future applications ranging from energy harvesting to electronic devices. However, it remains challenging to reveal […]


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Edge-Cloud Polarization and Collaboration: A Comprehensive Survey for AI

Posted by klaurent Berkeley

Kavli Affiliate: Feng Wang | First 5 Authors: Jiangchao Yao, Shengyu Zhang, Yang Yao, Feng Wang, Jianxin Ma | Summary: Influenced by the great success of deep learning via cloud computing and the rapid development of edge chips, research in artificial intelligence (AI) has shifted to both of the computing paradigms, i.e., cloud computing and […]


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How to See Hidden Patterns in Metamaterials with Interpretable Machine Learning

Posted by Caltech

Kavli Affiliate: Chiara Daraio | First 5 Authors: Zhi Chen, Alexander Ogren, Chiara Daraio, L. Catherine Brinson, Cynthia Rudin | Summary: Metamaterials are composite materials with engineered geometrical micro- and meso-structures that can lead to uncommon physical properties, like negative Poisson’s ratio or ultra-low shear resistance. Periodic metamaterials are composed of repeating unit-cells, and geometrical […]


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COMAP Early Science: VII. Prospects for CO Intensity Mapping at Reionization

Posted by klaurent Stanford

Kavli Affiliate: Sarah E. Church | First 5 Authors: Patrick C. Breysse, Dongwoo T. Chung, Kieran A. Cleary, Håvard T. Ihle, Hamsa Padmanabhan | Summary: We introduce COMAP-EoR, the next generation of the Carbon Monoxide Mapping Array Project aimed at extending CO intensity mapping to the Epoch of Reionization. COMAP-EoR supplements the existing 30 GHz […]


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COMAP Early Science: VI. A First Look at the COMAP Galactic Plane Survey

Posted by klaurent Stanford

Kavli Affiliate: Sarah E. Church | First 5 Authors: Thomas J. Rennie, Stuart E. Harper, Clive Dickinson, Liju Philip, Kieran A. Cleary | Summary: We present early results from the COMAP Galactic Plane Survey conducted between June 2019 and April 2021, spanning $20^circ<ell<40^circ$ in Galactic longitude and $|b|<1.!!^{circ}5$ in Galactic latitude with an angular resolution […]


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COMAP Early Science: V. Constraints and Forecasts at $z sim 3$

Posted by klaurent Stanford

Kavli Affiliate: Sarah E. Church | First 5 Authors: Dongwoo T. Chung, Patrick C. Breysse, Kieran A. Cleary, Håvard T. Ihle, Hamsa Padmanabhan | Summary: We present the current state of models for the $zsim3$ carbon monoxide (CO) line-intensity signal targeted by the CO Mapping Array Project (COMAP) Pathfinder in the context of its early […]


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COMAP Early Science: IV. Power Spectrum Methodology and Results

Posted by dbos Stanford

Kavli Affiliate: Sarah E. Church | First 5 Authors: Håvard T. Ihle, Jowita Borowska, Kieran A. Cleary, Hans Kristian Eriksen, Marie K. Foss | Summary: We present the power spectrum methodology used for the first-season COMAP analysis, and assess the quality of the current data set. The main results are derived through the Feed-feed Pseudo-Cross-Spectrum […]


Continue.. COMAP Early Science: IV. Power Spectrum Methodology and Results

COMAP Early Science: IV. Power Spectrum Methodology and Results

Posted by dbos Stanford

Kavli Affiliate: Sarah E. Church | First 5 Authors: Håvard T. Ihle, Jowita Borowska, Kieran A. Cleary, Hans Kristian Eriksen, Marie K. Foss | Summary: We present the power spectrum methodology used for the first-season COMAP analysis, and assess the quality of the current data set. The main results are derived through the Feed-feed Pseudo-Cross-Spectrum […]


Continue.. COMAP Early Science: IV. Power Spectrum Methodology and Results

COMAP Early Science: IV. Power Spectrum Methodology and Results

Posted by klaurent Stanford

Kavli Affiliate: Sarah E. Church | First 5 Authors: Håvard T. Ihle, Jowita Borowska, Kieran A. Cleary, Hans Kristian Eriksen, Marie K. Foss | Summary: We present the power spectrum methodology used for the first-season COMAP analysis, and assess the quality of the current data set. The main results are derived through the Feed-feed Pseudo-Cross-Spectrum […]


Continue.. COMAP Early Science: IV. Power Spectrum Methodology and Results