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Yingzhou Li, Phillip Griffiths Assistant Research Professor

Yingzhou Li
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Ph.D.Stanford University2017
Recent Publications   (More Publications)

  1. Li, Y; Lu, J; Mao, A, Variational training of neural network approximations of solution maps for physical models, Journal of Computational Physics, vol. 409 (May, 2020) [doi]  [abs]
  2. Hu, W; Liu, J; Li, Y; Ding, Z; Yang, C; Yang, J, Accelerating Excitation Energy Computation in Molecules and Solids within Linear-Response Time-Dependent Density Functional Theory via Interpolative Separable Density Fitting Decomposition., Journal of Chemical Theory and Computation, vol. 16 no. 2 (February, 2020), pp. 964-973 [doi]  [abs]
  3. Wang, Z; Li, Y; Lu, J, Coordinate Descent Full Configuration Interaction., Journal of Chemical Theory and Computation, vol. 15 no. 6 (June, 2019), pp. 3558-3569 [doi]  [abs]
  4. Li, Y; Lu, J, Bold diagrammatic Monte Carlo in the lens of stochastic iterative methods, Transactions of Mathematics and Its Applications, vol. 3 no. 1 (February, 2019), pp. 1-17, Oxford University Press (OUP) [doi]  [abs]
  5. Li, Y; Lin, L, Globally constructed adaptive local basis set for spectral projectors of second order differential operators, Multiscale Modeling & Simulation, vol. 17 no. 1 (January, 2019), pp. 92-116, Society for Industrial & Applied Mathematics (SIAM) [doi]  [abs]
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Mathematics Department
Duke University, Box 90320
Durham, NC 27708-0320