Publications (20)
Breathing-Driven Metal-Insulator Transition in Correlated Kagome Systems
Qingzhuo Duan, Zixuan Jia, Zenghui Fan +4
Inspired by the recent discovery of breathing kagome materials \(\rm Nb_3Cl_8\) and \(\rm Nb_3TeCl_7\), we have explored the influence of the breathing effect on the Hubbard model…
Pairing correlation of the Kagome-lattice Hubbard model with the nearest-neighbor interaction
Chen Yang, Chao Chen, Runyu Ma +2
A recently discovered family of Kagome lattice materials, (= ), has attracted great interest, especially in the d…
Quantum Monte Carlo study of superconductivity in rhombohedral trilayer graphene under an electric field
Huijia Dai, Runyu Ma, Xiao Zhang +2
By using the constrained-phase quantum Monte Carlo method, we performed a systematic study of the ground state of the half filled Hubbard model for a trilayer honeycomb lattice. We…
Measuring and Modeling the Free Content Web
Abdulrahman Alabduljabbar, Runyu Ma, Ahmed Abusnaina +4
Free content websites that provide free books, music, games, movies, etc., have existed on the Internet for many years. While it is a common belief that such websites might be diff…
Comparison of superconducting pairing in doped cuprates and nickelates within an extended Hubbard model
Yicheng Xiong, Hang Ma, Hongxing Liu +2
Within a Hubbard model, we investigate the superconducting pairing behavior of infinite-layer nickelate and cuprate superconductors by using the determinant quan…
The competition between antiferromagnetism and superconductivity in a doped Hubbard model with anisotropic interaction
Runyu Ma, Tianxing Ma
The competition between antiferromagnetism and superconductivity is one of the central questions in the research of strong correlated systems. In this work, we utilize a double lay…
Spin triplet superconducting pairing in doped MoS
Jingyao Wang, Xiao Zhang, Runyu Ma +3
Searching for triplet superconductivity has been pursued intensively in a broad field of material science and quantum information for decades. Nevertheless, these novel states rema…
LLM-Guided Task- and Affordance-Level Exploration in Reinforcement Learning
Jelle Luijkx, Runyu Ma, Zlatan AjanoviÄ +1
Reinforcement learning (RL) is a promising approach for robotic manipulation, but it can suffer from low sample efficiency and requires extensive exploration of large state-action…
Competition between -wave and +-wave superconductivity in the Hubbard model on a checkerboard lattice
Yue Pan, Runyu Ma, Chao Chen +2
By employing determinant quantum Monte Carlo simulations, we investigate a checkerboard lattice with next-nearest-neighbor hopping as the frustration-control parameter, which…
Antiferromagnetic fluctuations and a dominant -wave pairing symmetry in nickelate-based superconductors
Chao Chen, Runyu Ma, Xuelei Sui +3
Motivated by recent experimental studies on superconductivity found in nickelate-based materials, we study the temperature dependence of the spin correlation and the superconductin…
Transport anisotropy and metal-insulator transition in striped Dirac fermion systems
Jingyao Meng, Runyu Ma, Lufeng Zhang +1
Using the determinant quantum Monte Carlo method, we investigate the metal-insulator transitions induced by the stripe of charge density in an interacting two-dimensional Dirac fer…
Time-reversal symmetry breaking superconductivity in the presence of loop-current fluctuations
Zenghui Fan, Runyu Ma, Stefano Chesi +2
Loop currents have been proposed in various superconductors and recently confirmed in kagome materials, raising a fundamental question regarding their intrinsic connection to super…
Evolution of magnetic correlation in an inhomogeneous square lattice
Xiao Zhang, Runyu Ma, Zenghui Fan +3
We explore the magnetic properties of a two-dimensional Hubbard model on an inhomogeneous square lattice, which provides a platform for tuning the bandwidth of the flat band. In it…
Charge Stripe Manipulation of Superconducting Pairing Symmetry Transition
Chao Chen, Peigeng Zhong, Xuelei Sui +6
Charge stripes have been widely observed in many different types of unconventional superconductors, holding varying periods () and intensities. However, a general unde…
Intermediate Phase in Interacting Dirac Fermions with Staggered Potential
Jingyao Wang, Lufeng Zhang, Runyu Ma +3
By performing exact quantum Monte Carlo simulations of a model of interacting Dirac Fermions with staggered potential, we reveal a novel intermediate phase where the electronic cor…
Strong ferromagnetic fluctuations in a doped checkerboard lattice
Yue Pan, Runyu Ma, Tianxing Ma
Using the determinant quantum Monte Carlo method, we study the magnetic susceptibility in the parameter space of the on-site interaction , temperature , electron filling $\av…
Flat bands and superconductivity induced by periodic strain in monolayer graphene
Jingyao Meng, Runyu Ma, Tianxing Ma +1
Superconductivity in single-layer graphene has attracted considerable interest. Here, using the determinant quantum Monte Carlo method, we study transitions of superconductivity an…
ExploRLLM: Guiding Exploration in Reinforcement Learning with Large Language Models
Runyu Ma, Jelle Luijkx, Zlatan Ajanovic +1
In robot manipulation, Reinforcement Learning (RL) often suffers from low sample efficiency and uncertain convergence, especially in large observation and action spaces. Foundation…
Parameters dependent superconducting transition temperature in high temperature superconductors
Runyu Ma, Tianxing Ma, Congjun Wu
Understanding the evolution of the superconducting transition temperature in relation to doping and interaction strengths is one of the most challenging problems in high temperatur…
Charge stripe and superconductivity tuned by interlayer interaction in a sign-problem-free bilayer extended Hubbard model
Runyu Ma, Zenghui Fan, Hongxin Liu +2
Competing orders represent a central challenge in understanding strongly correlated systems. In this work, we employ projector quantum Monte Carlo simulations to study a sign-probl…