Personal profile
Personal profile
Title: Pre-appointed Assistant Professor
Contact number:
Department: Theoretical Physics
E-mail: liulu96@bit.edu.cn
Address: A409, Liangxiang South Campus, Beijing Institute of Technology
Contact number:
Department: Theoretical Physics
E-mail: liulu96@bit.edu.cn
Address: A409, Liangxiang South Campus, Beijing Institute of Technology
Research Interests
Mainly based on numerical methods such as Monte Carlo
1. Phase Transitions and Critical Phenomena
2. Strongly correlated system properties
1. Phase Transitions and Critical Phenomena
2. Strongly correlated system properties
Education
2012.09-2018.06 PhD, Department of Physics, Beijing Normal University
2008.09 -- 2012.06 College of Physics, Nanjing University, B.S.
2008.09 -- 2012.06 College of Physics, Nanjing University, B.S.
Professional Experience
2021.07 - Pre-Appointed Assistant Professor, School of Physics, Beijing Institute of Technology
2019.09-2019.11. Visiting Scholar, Department of Physics, Boston University
2018.09-2021.07. Postdoctoral Fellow, Institute of Physics, Chinese Academy of Sciences
2019.09-2019.11. Visiting Scholar, Department of Physics, Boston University
2018.09-2021.07. Postdoctoral Fellow, Institute of Physics, Chinese Academy of Sciences
Research Achievement
National Natural Science Foundation, Youth Science Foundation Project, Monte Carlo Study of Strongly Correlated Quantum Many-body Systems in Penrose quasicrystals, 2024-01-01 to 2026-12-31.
Second Prize of Scientific Research Excellence Award (Science and Technology) of Ministry of Education (2022-137-R05) : Nontrivial quantum States and Quantum Phase Transitions in Strongly Correlated Systems
Representative article
1. Yi Cui, Lu Liu, Huihang Lin et al., Proximate deconfined quantum critical point in SrCu2(BO3)2, Science 380, 1179 (2023).
2. Wenshan Hong, Lu Liu, et al, Extreme Suppression of Antiferromagnetic Order and Critical Scaling in a Two-Dimensional Random Quantum Magnet, Phys. Rev. Lett. 126 037201 (2021).
3. Lu Liu, Wenan Guo, and A.W. Sandvik, Quantum-critical scaling properties of the two-dimensional random-singlet state, Phys. Rev. B 102 054443 (2020).
4. Lu Liu, Hui Shao, et al, Random-Singlet Phase in Disordered Two-Dimensional Quantum Magnets, Phys. Rev. X 8 041040 (2018).
5. Lu Liu, A. W. Sandvik, and Wenan Guo, Typicality at quantum-critical points Chin. Phys. B 27, 087501 (2018).
Second Prize of Scientific Research Excellence Award (Science and Technology) of Ministry of Education (2022-137-R05) : Nontrivial quantum States and Quantum Phase Transitions in Strongly Correlated Systems
Representative article
1. Yi Cui, Lu Liu, Huihang Lin et al., Proximate deconfined quantum critical point in SrCu2(BO3)2, Science 380, 1179 (2023).
2. Wenshan Hong, Lu Liu, et al, Extreme Suppression of Antiferromagnetic Order and Critical Scaling in a Two-Dimensional Random Quantum Magnet, Phys. Rev. Lett. 126 037201 (2021).
3. Lu Liu, Wenan Guo, and A.W. Sandvik, Quantum-critical scaling properties of the two-dimensional random-singlet state, Phys. Rev. B 102 054443 (2020).
4. Lu Liu, Hui Shao, et al, Random-Singlet Phase in Disordered Two-Dimensional Quantum Magnets, Phys. Rev. X 8 041040 (2018).
5. Lu Liu, A. W. Sandvik, and Wenan Guo, Typicality at quantum-critical points Chin. Phys. B 27, 087501 (2018).
Fingerprint
Dive into the research topics where Lu Liu is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 1 Similar Profiles
-
Hardware Implementation and Optimization of Critical Modules of SM9 Digital Signature Algorithm
Shao, Y., Chen, T., Li, K. & Liu, L., 2024, Artificial Intelligence Security and Privacy - 1st International Conference on Artificial Intelligence Security and Privacy, AIS and P 2023, Proceedings. Vaidya, J., Gabbouj, M. & Li, J. (eds.). Springer Science and Business Media Deutschland GmbH, p. 368-381 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14509 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
-
Penetrating Machine Learning Servers via Exploiting BMC Vulnerability
Liu, Y., Qiu, K., Liu, L. & Zhang, Q., 2024, Machine Learning for Cyber Security - 5th International Conference, ML4CS 2023, Proceedings. Kim, D. D. & Chen, C. (eds.). Springer Science and Business Media Deutschland GmbH, p. 163-172 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 14541 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
-
Designing Philobot: A Chatbot for Mental Health Support with CBT Techniques
Ge, Q., Liu, L., Zhang, H., Li, L., Li, X., Zhu, X., Liao, L. & Song, D., 2023, Proceedings of 2023 Chinese Intelligent Automation Conference. Deng, Z. (ed.). Springer Science and Business Media Deutschland GmbH, p. 361-371 11 p. (Lecture Notes in Electrical Engineering; vol. 1082 LNEE).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
6 Link opens in a new tab Citations (Scopus) -
HoaKV: High-Performance KV Store Based on the Hot-Awareness in Mixed Workloads
Liu, J., Fan, X., Wu, Y., Zheng, Y. & Liu, L., Aug 2023, In: Electronics (Switzerland). 12, 15, 3227.Research output: Contribution to journal › Article › peer-review
Open Access1 Link opens in a new tab Citation (Scopus) -
Local Pixel Attack Based on Sensitive Pixel Location for Remote Sensing Images
Liu, L., Xu, Z., He, D., Yang, D. & Guo, H., May 2023, In: Electronics (Switzerland). 12, 9, 1987.Research output: Contribution to journal › Article › peer-review
Open Access6 Link opens in a new tab Citations (Scopus)