14.3k citations
- University of Hong KongHK3 papers
- BGI ResearchCN2 papers
- Broad InstituteUS2 papers
- University of Wisconsin–MadisonUS2 papers
- Albert Einstein College of MedicineUS1 paper
- Baylor College of MedicineUS1 paper
- BC Cancer AgencyCA1 paper
- Behavioral Health NetworkUS1 paper
- Bejo Zaden (Netherlands)NL1 paper
- BGI Europe (Denmark)DK1 paper
- Center for Life SciencesCN1 paper
- Central South UniversityCN1 paper
14 papers
A Corrected Open Boundary Framework for Lattice Boltzmann Immiscible Pseudopotential Models
Yizhong Chen, Zhibin Wang
The pseudopotential lattice Boltzmann method (LBM) is a prominent approach for simulating multiphase flows, valued for its physical intuitiveness and computational tractability. Ho…
Quantum-Classical Hybrid Computation of Electron Transfer in a Cryptochrome Protein via VQE-PDFT and Multiscale Modeling
Yibo Chen, Zirui Sheng, Weitang Li +4
Accurate calculation of strongly correlated electronic systems requires proper treatment of both static and dynamic correlations, which remains challenging for conventional methods…
Inference of maximum parsimony phylogenetic trees with model-based classical and quantum methods
Jiawei Zhang, Yibo Chen, Yang Zhou +1
The maximum parsimony phylogenetic tree reconstruction problem is NP-hard, presenting a computational bottleneck for classical computing and motivating the exploration of emerging…
Enhancing Hepatopathy Clinical Trial Efficiency: A Secure, Large Language Model-Powered Pre-Screening Pipeline
Xiongbin Gui, Hanlin Lv, Xiao Wang +3
Background: Recruitment for cohorts involving complex liver diseases, such as hepatocellular carcinoma and liver cirrhosis, often requires interpreting semantically complex criteri…
Ultrafast photodissociation dynamics of dichloromethane on three-dimensional potential energy surfaces and its Coulomb explosion signature
Yijue Ding
We present efficient and reliable molecular dynamics simulations of the photodissociation of dichloromethane followed by Coulomb explosion. These simulations are performed by calcu…
Evolving Neural Networks through a Reverse Encoding Tree
Haoling Zhang, Chao-Han Huck Yang, Hector Zenil +3
NeuroEvolution is one of the most competitive evolutionary learning frameworks for designing novel neural networks for use in specific tasks, such as logic circuit design and digit…