A5044851753- Magnetic confinement fusion research
- Fusion materials and technologies
- Ionosphere and magnetosphere dynamics
- Superconducting Materials and Applications
- Laser-Plasma Interactions and Diagnostics
- Traffic Prediction and Management Techniques
- Natural Language Processing Techniques
- Particle accelerators and beam dynamics
- Topic Modeling
- Time Series Analysis and Forecasting
- Advanced Graph Neural Networks
- Plasma Diagnostics and Applications
- Protein Structure and Dynamics
- Transportation Planning and Optimization
- Cancer Treatment and Pharmacology
- Solar and Space Plasma Dynamics
- Brain Tumor Detection and Classification
- Text Readability and Simplification
- Neural Networks and Applications
- Breast Cancer Treatment Studies
- Stock Market Forecasting Methods
- Human Mobility and Location-Based Analysis
- Parallel Computing and Optimization Techniques
- HER2/EGFR in Cancer Research
- Cyclopropane Reaction Mechanisms
Shanghai Jiao Tong University
2023-2025
University of Science and Technology of China
2024
Chinese Academy of Sciences
2024
Southwestern Institute of Physics
2010-2023
Princess Margaret Cancer Centre
2018
University of Toronto
2018
Lawrence Livermore National Laboratory
2014
University of Illinois Urbana-Champaign
2008
University of Tennessee at Knoxville
2000
Wichita State University
2000
This study focuses on a series of PtII(L−L')(dppm)n+ complexes, where dppm is bis(diphenylphosphino)methane and L−L' are C∧C' (n = 0), C∧N 1), N∧N' 2) aromatic ligands. Structural characteristics as follows: for [Pt(phen)(dppm)](PF6)2, derivative, monoclinic, C2/c, 33.583(6) Å, b 11.399(2) c 22.158(4) Z 8; [Pt(phq)(dppm)](PF6), triclinic, P1̄, 11.415(3) 13.450(3) 14.210(4) 2; [Pt(phpy)(dppm)](PF6), 10.030(3) 13.010(2) 15.066(4) [Pt(bph)(dppm)], P21/c, 17.116(7) 21.422(6) 26.528(6) 12, phen...
NAMD (nanoscale molecular dynamics) is a production dynamics (MD) application for biomolecular simulations that include assemblages of proteins, cell membranes, and water molecules. In simulation, the problem size fixed large number iterations must be executed in order to understand interesting biological phenomena. Hence, we need MD applications scale thousands processors, even though individual timestep on one processor quite small. has demonstrated its performance several parallel...
Heterogeneous graph neural networks have gained great popularity in tackling various network analysis tasks on heterogeneous data. However, most existing works mainly focus general networks, and assume that there is only one type of edge between two nodes, while ignoring the multiplex characteristics multi-typed nodes different importance structures among for node embedding. In addition, over-smoothing issue limits models to capturing local structure signals but hardly learning global...
Traffic forecasting is crucial for intelligent transportation systems (ITS), aiding in efficient resource allocation and effective traffic control. However, its effectiveness often relies heavily on abundant data, while many cities lack sufficient data due to limited device support, posing a significant challenge forecasting. Recognizing this challenge, we have made noteworthy observation: patterns exhibit similarities across diverse cities. Building key insight, propose solution the...
The mission of HL-2A is to explore the key physical topics relevant ITER and advanced tokamak operation (e.g. future HL-2M), such as access H-mode, energetic particle physics, edge-localized mode (ELM) mitigation/suppression disruption mitigation. Since 2016 Fusion Energy Conference, team has focused on investigations following areas: (i) pedestal dynamics L–H transition, (ii) techniques ELM control, (iii) turbulence transport, (iv) physics. results demonstrated that increase mean shear flow...
Traffic forecasting is a critical service in Intelligent Transportation Systems (ITS). Utilizing deep models to tackle this task relies heavily on data from traffic sensors or vehicle devices, while some cities might lack device support and thus have few available data. So, it necessary learn data-rich transfer the knowledge data-scarce order improve performance of forecasting. To address problem, we propose cross-city few-shot framework via Pattern Bank (TPB) due that patterns are similar...
Since the last Fusion Energy Conference, significant progress has been made in following areas. The first high coupling efficiency low-hybrid current drive (LHCD) with a passive–active multi-junction (PAM) antenna was successfully demonstrated H-mode on HL-2A tokamak. Double critical impurity gradients of electromagnetic turbulence were observed plasmas. Various ELM mitigation techniques have investigated, including supersonic molecular beam injection (SMBI), seeding, resonant magnetic...
Time series data has been demonstrated to be crucial in various research fields. The management of large quantities time presents challenges terms deep learning tasks, particularly for training a neural network. Recently, technique named Dataset Condensation emerged as solution this problem. This generates smaller synthetic dataset that comparable performance the full real downstream tasks such classification. However, previous methods are primarily designed image and graph datasets,...
Missing values are prevalent in multivariate time series, compromising the integrity of analyses and degrading performance downstream tasks.Consequently, research has focused on series imputation, aiming to accurately impute missing based available observations.A key question is how ensure imputation consistency, i.e., intra-consistency between observed imputed values, inter-consistency adjacent windows after imputation.However, previous methods rely solely inductive bias targets guide...
Due to detector malfunctions and communication failures, missing data is ubiquitous during the collection of traffic data. Therefore, it vital importance impute values facilitate analysis decision-making for Intelligent Transportation System (ITS). However, existing imputation methods generally perform zero pre-filling techniques initialize values, introducing inevitable noises. Moreover, we observe prevalent over-smoothing interpolations, falling short in revealing intrinsic spatio-temporal...
With the increasing demands of training graph neural networks (GNNs) on large-scale graphs, data condensation has emerged as a critical technique to relieve storage and time costs during phase. It aims condense original much smaller synthetic while preserving essential information necessary for efficiently downstream GNN. However, existing methods concentrate either optimizing node features exclusively or endeavor independently learn structure generator. They could not explicitly leverage...
Traffic simulation provides interactive data for the optimization of traffic control policies. However, existing simulators are limited by their lack scalability and shortage in input data, which prevents them from generating scenarios real large-scale city road networks.
Efficient recommender systems play a crucial role in accurately capturing user and item attributes that mirror individual preferences. Some existing recommendation techniques have started to shift their focus towards modeling various types of interaction relations between users items real-world scenarios, such as clicks, marking favorites, purchases on online shopping platforms. Nevertheless, these approaches still grapple with two significant shortcomings: (1) Insufficient exploitation the...
Fishbone instabilities, driven by trapped and barely passing energetic particles (EPs), including electrons ions (EEs or EIs), are numerically studied with the spatial distribution of EPs taken into account. The dispersion relations modes derived for slowing-down Maxwellian models EP energy distribution. It is found that frequency comparable to toroidal precession ω d resonantly excited. Electron ion fishbone share same growth rates real frequencies but rotate in opposite directions. be...
Fusion energy development is quite successful in both getting equivalent breakevencondition large tokamak and clarifying many important physics the magnetically confinedplasma to proceed a fusion experimental reactor, ITER. Now, research has solvethe power handling toward demonstration reactor (DEMO). A plasma withstrongly negative triangularity may oer such an opportunity as innovative concept. Experimentaland theoretical works at CRPP-EPFL shows promising results for tokamak. In this...
The internal kink (fishbone) modes, driven by barely passing energetic ions (EIs), are numerically studied with the spatial distribution of EIs taking into account. It is found that modes frequencies comparable to toroidal precession excited resonant interaction EIs. Positive and negative density gradient dominating cases, corresponding off- near-axis depositions neutral beam injection (NBI), respectively, analyzed in detail. most interesting important feature there exists a second stable...
The SOLEDGE-EIRENE edge plasma code provides solutions for particle and energy transport in the within complex realistic 2D geometries (Bufferand et al 2015 Nucl. Fusion 55 053025). In this work, divertor detachment is simulated on HL-2M alternative magnetic configurations pure deuterium plasma. Starting from a typical low single-null configuration, snowflake plus (SF+) minus (SF−) have then been investigated. Detachment of outer target studied these during density ramps controlled by...
Study of the hot-plasma vertical displacement event (VDE) in advanced divertor configurations is significant importance for ITER and future fusion reactors. The newly designed, medium-sized copper-conductor machine HL-2M has capability generating second X-point various configurations. In this paper, effects on hot VDE are numerically investigated by utilizing non-linear time-dependent DINA code. simulation results show that existence at certain special locations appears to have a better...
Effects of toroidal plasma flow, magnetic drift kinetic damping as well feedback control, on the resistive wall mode instability in HL-2M tokamak are numerically investigated, using linear stability codes MARS-F/K (Liu et al 2000 Phys. Plasmas 7 3681, Liu 2008 15 112503). It is found that precession resonance due to trapped thermal particles ensures a robust passive stabilization n = 1 (n number) RWM 2 MA double-null advanced scenario designed for HL-2M, provided flow speed not too fast: ....