A5101411581- Crystallization and Solubility Studies
- X-ray Diffraction in Crystallography
- Machine Learning in Materials Science
- Graph Theory and Algorithms
- Complex Network Analysis Techniques
- Quantum Chromodynamics and Particle Interactions
- Electronic and Structural Properties of Oxides
- Advanced Graph Neural Networks
- Advanced Chemical Physics Studies
- Particle physics theoretical and experimental studies
- Cryptography and Data Security
- Radio Frequency Integrated Circuit Design
- Structural Engineering and Vibration Analysis
- Radiation Detection and Scintillator Technologies
- Advanced Semiconductor Detectors and Materials
- Infection Control and Ventilation
- Telecommunications and Broadcasting Technologies
- High-Energy Particle Collisions Research
- Inorganic Chemistry and Materials
- Advanced NMR Techniques and Applications
- CCD and CMOS Imaging Sensors
- graph theory and CDMA systems
- Magnetic and transport properties of perovskites and related materials
- Interconnection Networks and Systems
- Complexity and Algorithms in Graphs
University of Virginia
2023-2024
Wuxi People's Hospital
2023
Chinese Academy of Sciences
2006-2017
Institute of Modern Physics
2016-2017
University of Chinese Academy of Sciences
2016
Institute of Software
2012
Oracle (United States)
2002
Dynamic graph random walk (DGRW) emerges as a practical tool for capturing structural relations within graph. Effectively executing DGRW on GPU presents certain challenges. First, existing sampling methods demand pre-processing buffer, causing substantial space complexity. Moreover, the power-law distribution of vertex degrees introduces workload imbalance issues, rendering embarrassed to parallelize. In this paper, we propose FlowWalker, GPU-based dynamic framework. FlowWalker implements an...
We present a machine learning (ML) framework for large-scale dynamical simulations of charge density wave (CDW) states. The modulation in CDW state is often accompanied by concomitant structural distortion, and the adiabatic evolution order governed dynamics lattice distortion. Calculation electronic contribution to driving forces large systems, however, computationally very expensive. Assuming principle locality electron neural-network model developed accurately efficiently predict local...
We report on a theoretical study of the $\pi^- p \to a^-_1(1260) p$ and \pi^- \rho^0 reactions near threshold within an effective Lagrangian approach. The production process is described by $t$-channel $\rho^0$ meson exchange. For reaction, final \rho^0$ results from decay $a_1(1260)$ resonance which assumed as dynamically generated state $K^* \bar K$ $\rho \pi$ coupled channel interactions. calculate total cross section reaction. It shown that, with coupling constant to obtained chiral...
We investigate the discovery potential of predicted neutral hidden beauty <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="M3"><mml:msup><mml:mrow><mml:mi>N</mml:mi></mml:mrow><mml:mrow><mml:mi>∗</mml:mi></mml:mrow></mml:msup><mml:mo stretchy="false">(</mml:mo><mml:mn mathvariant="normal">11052</mml:mn><mml:mo stretchy="false">)</mml:mo></mml:math> resonance through...
Dynamic graph random walk (DGRW) emerges as a practical tool for capturing structural relations within graph. Effectively executing DGRW on GPU presents certain challenges. First, existing sampling methods demand pre-processing buffer, causing substantial space complexity. Moreover, the power-law distribution of vertex degrees introduces workload imbalance issues, rendering embarrassed to parallelize. In this paper, we propose FlowWalker, GPU-based dynamic framework. FlowWalker implements an...
We present a scalable machine learning (ML) force-field model for the adiabatic dynamics of cooperative Jahn-Teller (JT) systems. Large scale dynamical simulations JT also shed light on orbital ordering in colossal magnetoresistance manganites. The effect these materials describes distortion local oxygen octahedra driven by coupling to degrees freedom $e_g$ electrons. An effective electron-mediated interaction between modes leads structural transition and emergence long-range order at low...
We present a scalable machine-learning (ML) force-field model for the adiabatic dynamics of cooperative Jahn-Teller (JT) systems. Large-scale dynamical simulations JT also shed light on orbital ordering in colossal magnetoresistance manganites. The effect these materials describes distortion local oxygen octahedra driven by coupling to degrees freedom ${e}_{g}$ electrons. An effective electron-mediated interaction between modes leads structural transition and emergence long-range order at...
In this paper, computational fluid dynamics (CFD) was used to numerically simulate four ventilation modes of ISO class six clean room, explore the effects different FFU-clean bench coverage rates on temperature and humidity in establish a hierarchical analysis (AHP) entropy weight evaluation system determine best rate (C). The results show that difference, relative difference airflow velocity increase with rate; when C=25%, thermal comfort cleanliness employees are satisfied priority; C=50%,...
One of the major challenges to design a high performance computer system is predict accurate interchip timing as well control electrical noises such crosstalk, reflections and Ldi/dt noise. As board level clock frequency exceeds 50 MHz, using conventional full swing CMOS driver driving heavily loaded long bus on PCB or backplane obtaining desirable result becomes increasingly difficult. In order achieve higher with bus, low voltage 800 mV transmission line transceiver (Gunning et al., 1992),...