Sparse Representation of Wannier functions from L1 regulariztion
ORAL
Abstract
Traditionally, Wannier functions are obtained by minimizing their spread functional with respect to the gauge of Bloch states, and therefore exponentially localized. We borrow the concept of sparsity from the LASSO method by adding an L1 penalty term ∑i ∫v |Wi(r)| dr to the total energy minimization and achieve a sparse representation of Wannier functions, which means they are nonzero only within a finite spatial region. The exponentially localized representation will be the limit of this sparse one when the weight of L1 term approaches zero. Our method is fully k-separable and works equally for both insulators and metals, as evidenced by our calculation on silicon, copper and SnSe. No disentanglement procedure is required for entangled bands. First order algorithms to tackle this optimization problem will be discussed.
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Presenters
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Jiatong Chen
Materials Science and Engineering, University of California Los Angeles, Materials Science and Engineering, UCLA
Authors
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Jiatong Chen
Materials Science and Engineering, University of California Los Angeles, Materials Science and Engineering, UCLA
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Ke Yin
Center for Mathematical Sciences, Huazhong University of Science and Technology
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Yi Xia
Argonne National Lab, Argonne National Laboratory
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Vidvuds Ozolins
Applied Physics, Yale University, Yale University, Yale Univ, Applied Physics, Yale Univ, Applied physics, Yale University
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Stanley Osher
Mathematics, University of California Los Angeles
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Russel Caflisch
Courant Institute, New York University