Deep Learning Coherent Diffractive Imaging

Kavli Affiliate: Alex Zettl | First 5 Authors: Dillan J. Chang, Colum M. O’Leary, Cong Su, Salman Kahn, Alex Zettl | Summary: We report the development of deep learning coherent electron diffractive imaging at sub-angstrom resolution using convolutional neural networks (CNNs) trained with only simulated data. We experimentally demonstrate this method by applying the trained […]


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Frustrated magnetic interactions in a Wigner-Mott insulator

Kavli Affiliate: Jie Shan | First 5 Authors: Yanhao Tang, Kaixiang Su, Lizhong Li, Yang Xu, Song Liu | Summary: Two-dimensional semiconductor moir’e materials have emerged as a highly controllable platform to simulate and explore quantum condensed matter. Compared to real solids, electrons in semiconductor moir’e materials are less strongly attracted to the moir’e lattice […]


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Ab Initio Prediction of Excited State and Polaron Effects in Transient XUV Measurements of $α$-Fe$_2$O$_3$

Kavli Affiliate: Scott K. Cushing | First 5 Authors: Isabel M. Klein, Hanzhe Liu, Danika Nimlos, Alex Krotz, Scott K. Cushing | Summary: Transient X-ray and extreme ultraviolet (XUV) spectroscopies have become invaluable tools for studying photoexcited dynamics due to their sensitivity to carrier occupations and local chemical or structural changes. One of the most […]


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On the Equity of Nuclear Norm Maximization in Unsupervised Domain Adaptation

Kavli Affiliate: Xiang Zhang | First 5 Authors: Wenju Zhang, Xiang Zhang, Qing Liao, Long Lan, Mengzhu Wang | Summary: Nuclear norm maximization has shown the power to enhance the transferability of unsupervised domain adaptation model (UDA) in an empirical scheme. In this paper, we identify a new property termed equity, which indicates the balance […]


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Expanding the Materials Search Space for Multivalent Cathodes

Kavli Affiliate: Kristin A. Persson | First 5 Authors: Ann Rutt, Jimmy-Xuan Shen, Matthew Horton, Jiyoon Kim, Jerry Lin | Summary: Multivalent batteries are an energy storage technology with the potential to surpass lithium-ion batteries, however their performance has been limited by the low voltages and poor solid-state ionic mobility of available cathodes. A computational […]


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On-chip distribution of quantum information using traveling phonons

Kavli Affiliate: Simon Groblacher | First 5 Authors: Amirparsa Zivari, Niccolò Fiaschi, Roel Burgwal, Ewold Verhagen, Robert Stockill | Summary: Distributing quantum entanglement on a chip is a crucial step towards realizing scalable quantum processors. Using traveling phonons – quantized guided mechanical wavepackets – as a medium to transmit quantum states is currently gaining significant […]


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Modern applications of machine learning in quantum sciences

Kavli Affiliate: Eliska Greplova | First 5 Authors: Anna Dawid, Julian Arnold, Borja Requena, Alexander Gresch, Marcin Płodzień | Summary: In these Lecture Notes, we provide a comprehensive introduction to the most recent advances in the application of machine learning methods in quantum sciences. We cover the use of deep learning and kernel methods in […]


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Modern applications of machine learning in quantum sciences

Kavli Affiliate: Eliska Greplova | First 5 Authors: Anna Dawid, Julian Arnold, Borja Requena, Alexander Gresch, Marcin Płodzień | Summary: In this book, we provide a comprehensive introduction to the most recent advances in the application of machine learning methods in quantum sciences. We cover the use of deep learning and kernel methods in supervised, […]


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Music Influence Modeling Based on Directed Network Model

Kavli Affiliate: Lihong Wang | First 5 Authors: Xuan Zhang, Tingdi Ren, Lihong Wang, Haiyong Xu, | Summary: Studying the history of music may provide a glimpse into the development of human creativity as we examine the evolutionary and revolutionary trends in music and genres. First, a musical influence metric was created to construct a […]


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