| Siesta: Recent developments and applications A García, N Papior, A Akhtar, E Artacho, V Blum, E Bosoni, P Brandimarte, ... The Journal of chemical physics 152 (20), 2020 | 576 | 2020 |
| GW100: Benchmarking G0W0 for Molecular Systems MJ Van Setten, F Caruso, S Sharifzadeh, X Ren, M Scheffler, F Liu, ... Journal of chemical theory and computation 11 (12), 5665-5687, 2015 | 442 | 2015 |
| Pushing the limit of molecular dynamics with ab initio accuracy to 100 million atoms with machine learning W Jia, H Wang, M Chen, D Lu, L Lin, R Car, E Weinan, L Zhang SC20: International conference for high performance computing, networking …, 2020 | 377 | 2020 |
| Highly efficient photocatalytic water splitting over edge-modified phosphorene nanoribbons W Hu, L Lin, R Zhang, C Yang, J Yang Journal of the American Chemical Society 139 (43), 15429-15436, 2017 | 325 | 2017 |
| Evaluating the evidence for exponential quantum advantage in ground-state quantum chemistry S Lee, J Lee, H Zhai, Y Tong, AM Dalzell, A Kumar, P Helms, J Gray, ... Nature communications 14 (1), 1952, 2023 | 310 | 2023 |
| Near-optimal ground state preparation L Lin, Y Tong Quantum 4, 372, 2020 | 304 | 2020 |
| Heisenberg-limited ground-state energy estimation for early fault-tolerant quantum computers L Lin, Y Tong PRX quantum 3 (1), 010318, 2022 | 271 | 2022 |
| 86 PFLOPS deep potential molecular dynamics simulation of 100 million atoms with ab initio accuracy D Lu, H Wang, M Chen, L Lin, R Car, W Jia, L Zhang Computer Physics Communications 259, 107624, 2021 | 257 | 2021 |
| Ground-state preparation and energy estimation on early fault-tolerant quantum computers via quantum eigenvalue transformation of unitary matrices Y Dong, L Lin, Y Tong PRX quantum 3 (4), 040305, 2022 | 247 | 2022 |
| Approximating spectral densities of large matrices L Lin, Y Saad, C Yang SIAM review 58 (1), 34-65, 2016 | 210 | 2016 |
| Edge-modified phosphorene nanoflake heterojunctions as highly efficient solar cells W Hu, L Lin, C Yang, J Dai, J Yang Nano letters 16 (3), 1675-1682, 2016 | 206 | 2016 |
| Adaptively compressed exchange operator L Lin Journal of chemical theory and computation 12 (5), 2242-2249, 2016 | 205 | 2016 |
| Optimal polynomial based quantum eigenstate filtering with application to solving quantum linear systems L Lin, Y Tong Quantum 4, 361, 2020 | 189 | 2020 |
| Efficient phase-factor evaluation in quantum signal processing Y Dong, X Meng, KB Whaley, L Lin Physical Review A 103 (4), 042419, 2021 | 187 | 2021 |
| Large-scale ab initio simulations based on systematically improvable atomic basis P Li, X Liu, M Chen, P Lin, X Ren, L Lin, C Yang, L He Computational Materials Science 112, 503-517, 2016 | 179 | 2016 |
| Quantum linear system solver based on time-optimal adiabatic quantum computing and quantum approximate optimization algorithm D An, L Lin ACM Transactions on Quantum Computing 3 (2), 1-28, 2022 | 169 | 2022 |
| Fast construction of hierarchical matrix representation from matrix–vector multiplication L Lin, J Lu, L Ying Journal of Computational Physics 230 (10), 4071-4087, 2011 | 161 | 2011 |
| Explicit quantum circuits for block encodings of certain sparse matrices D Camps, L Lin, R Van Beeumen, C Yang SIAM Journal on Matrix Analysis and Applications 45 (1), 801-827, 2024 | 153 | 2024 |
| Adaptive local basis set for Kohn–Sham density functional theory in a discontinuous Galerkin framework I: Total energy calculation L Lin, J Lu, L Ying Journal of Computational Physics 231 (4), 2140-2154, 2012 | 152 | 2012 |
| Compressed representation of Kohn–Sham orbitals via selected columns of the density matrix A Damle, L Lin, L Ying Journal of chemical theory and computation 11 (4), 1463-1469, 2015 | 151 | 2015 |
Lexing YingProfessor of Mathematics, Stanford UniversityVerified email at stanford.edu
