Peptide Isomerization is Suppressed at the Air-Water Interface

Kavli Affiliate: David T. Limmer | First 5 Authors: Aditya N. Singh, David T. Limmer, , , | Summary: We use molecular dynamics simulations to study the thermodynamics and kinetics of alanine dipeptide isomerization at the air-water interface. Thermodynamically, we find an affinity of the dipeptide to the interface. This affinity arises from stablizing intramolecular […]


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Dynamics of photosynthetic light harvesting systems interacting with N-photon Fock states

Kavli Affiliate: K. Birgitta Whaley | First 5 Authors: Liwen Ko, Robert L. Cook, K. Birgitta Whaley, , | Summary: We develop a method to simulate the excitonic dynamics of realistic photosynthetic light harvesting systems including non-Markovian coupling to phonon degrees of freedom, under excitation by N-photon Fock state pulses. This method combines the input-output […]


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

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

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

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

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 […]


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Learning to Disentangle Scenes for Person Re-identification

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 […]


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Exploiting Robust Unsupervised Video Person Re-identification

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 […]


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Stain-free Detection of Embryo Polarization using Deep Learning

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, […]


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Optimized fermionic SWAP networks with equivalent circuit averaging for QAOA

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 […]


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