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 […]


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

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 […]


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

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 […]


Continue.. How to See Hidden Patterns in Metamaterials with Interpretable Machine Learning

Very-High Dynamic Range, 10,000 frames/second Pixel Array Detector for Electron Microscopy

Posted by dbos Cornell

Kavli Affiliate: Sol M. Gruner | First 5 Authors: Hugh T. Philipp, Mark W. Tate, Katherine S. Shanks, Luigi Mele, Maurice Peemen | Summary: Precision and accuracy of quantitative scanning transmission electron microscopy (STEM) methods such as ptychography, and the mapping of electric, magnetic and strain fields depend on the dose. Reasonable acquisition time requires […]


Continue.. Very-High Dynamic Range, 10,000 frames/second Pixel Array Detector for Electron Microscopy

Learning to Disentangle Scenes for Person Re-identification

Posted by klaurent Caltech

Kavli Affiliate: Wei Gao | First 5 Authors: Xianghao Zang, Ge Li, Wei Gao, Xiujun Shu, | Summary: There are many challenging problems in the person re-identification (ReID) task, such as the occlusion and scale variation. Existing works usually tried to solve them by employing a one-branch network. This one-branch network needs to be robust […]


Continue.. Learning to Disentangle Scenes for Person Re-identification

Exploiting Robust Unsupervised Video Person Re-identification

Posted by klaurent Caltech

Kavli Affiliate: Wei Gao | First 5 Authors: Xianghao Zang, Ge Li, Wei Gao, Xiujun Shu, | Summary: Unsupervised video person re-identification (reID) methods usually depend on global-level features. And many supervised reID methods employed local-level features and achieved significant performance improvements. However, applying local-level features to unsupervised methods may introduce an unstable performance. To […]


Continue.. Exploiting Robust Unsupervised Video Person Re-identification

Stain-free Detection of Embryo Polarization using Deep Learning

Posted by klaurent Caltech

Kavli Affiliate: Changhuei Yang | First 5 Authors: Cheng Shen, Adiyant Lamba, Meng Zhu, Ray Zhang, Changhuei Yang | Summary: Polarization of the mammalian embryo at the right developmental time is critical for its development to term and would be valuable in assessing the potential of human embryos. However, tracking polarization requires invasive fluorescence staining, […]


Continue.. Stain-free Detection of Embryo Polarization using Deep Learning

Optimized fermionic SWAP networks with equivalent circuit averaging for QAOA

Posted by klaurent Berkeley

Kavli Affiliate: Irfan Siddiqi | First 5 Authors: Akel Hashim, Rich Rines, Victory Omole, Ravi K. Naik, John Mark Kreikebaum | Summary: The fermionic SWAP network is a qubit routing sequence that can be used to efficiently execute the Quantum Approximate Optimization Algorithm (QAOA). Even with a minimally-connected topology on an n-qubit processor, this routing […]


Continue.. Optimized fermionic SWAP networks with equivalent circuit averaging for QAOA

Observation of a flat and extended surface state in a topological semimetal

Posted by klaurent Berkeley

Kavli Affiliate: Alessandra Lanzara | First 5 Authors: Ryo Mori, Kefeng Wang, Takahiro Morimoto, Jonathan D. Denlinger, Johnpierre Paglione | Summary: A topological flatband, also known as drumhead states, is an ideal platform to drive new exotic topological quantum phases. Using angle-resolved photoemission spectroscopy experiments, we reveal the emergence of a highly localized possible drumhead […]


Continue.. Observation of a flat and extended surface state in a topological semimetal

Tight-Binding Bandstructure of $β-$ and $α-$ phase Ga$_2$O$_3$ and Al$_2$O$_3$

Posted by klaurent Cornell

Kavli Affiliate: Debdeep Jena | First 5 Authors: Yifan, Zhang, Mengren, Liu, Guru Khalsa | Summary: Rapid design and development of the emergent ultra-wide bandgap semiconductors Ga$_2$O$_3$ and Al$_2$O$_3$ requires a compact model of their electronic structures, accurate over the broad energy range accessed in future high-field, high-frequency, and high-temperature electronics and visible and ultraviolet […]


Continue.. Tight-Binding Bandstructure of $β-$ and $α-$ phase Ga$_2$O$_3$ and Al$_2$O$_3$