A5045015284- Nuclear physics research studies
- Nuclear Physics and Applications
- Nuclear reactor physics and engineering
- Magnetic confinement fusion research
- Astronomical and nuclear sciences
- Organic Electronics and Photovoltaics
- Particle accelerators and beam dynamics
- Conducting polymers and applications
- High-Energy Particle Collisions Research
- Plasma Diagnostics and Applications
- Organic Light-Emitting Diodes Research
- Ionosphere and magnetosphere dynamics
- Quantum Chromodynamics and Particle Interactions
- Atomic and Molecular Physics
- Superconducting Materials and Applications
- Fusion materials and technologies
- Particle physics theoretical and experimental studies
- Laser-Plasma Interactions and Diagnostics
- Radiation Therapy and Dosimetry
- Nuclear Materials and Properties
- Solar and Space Plasma Dynamics
- Synthesis and Properties of Aromatic Compounds
- Organic and Molecular Conductors Research
- Molecular Junctions and Nanostructures
- Age of Information Optimization
Henan Normal University
2016-2025
Southwestern Institute of Physics
2011-2024
Lishui Central Hospital
2024
Zhejiang University
2024
Ningxia Medical University
2023
Affiliated Eye Hospital of Wenzhou Medical College
2023
Wenzhou Medical University
2023
National Engineering Research Center for Compounding and Modification of Polymer Materials
2021
Xinxiang University
2017-2019
China University of Geosciences
2008-2011
Alcohol abuse triggers neuroinflammation, leading to neuronal damage and further memory cognitive impairment. Few satisfactory advances have been made in the management of alcoholic central nervous Therefore, novel more practical treatment options are urgently needed. Butyrate, a crucial metabolite short-chain fatty acids (SCFAs), has increasingly demonstrated protect against numerous metabolic diseases. However, impact butyrate on chronic alcohol consumption-induced system (CNS) lesions...
Porous tantalum scaffolds have been developed and clinically utilized as superior implantable biomaterials for orthopedic applications owing to their exceptional corrosion resistance, biocompatibility, osteointegration, osteoconductivity. Moreover, the biomimetic porous structure mechanical properties of these match those human bone tissues. Over past twenty years, fabrication, optimization, application expansion advanced by emerging manufacturing technologies, characterization...
Abstract Since the last IAEA Fusion Energy Conference in 2018, significant progress of experimental program HL-2A has been achieved on developing advanced plasma physics, edge localized mode (ELM) control physics and technology. Optimization confinement performed. In particular, high- β N H-mode plasmas exhibiting an internal transport barrier have obtained (normalized pressure reached up to 3). Injection impurity improved confinement. ELM using resonance magnetic perturbation or injection a...
Abstract The Bayesian neural network (BNN) method is proposed to predict the isotopic cross-sections in proton induced spallation reactions. Learning from more than 4000 data sets of 19 experimental measurements and 5 theoretical predictions with SPACS parametrization, which mass system ranges 36 238, incident energy 200 MeV/u 1500 MeV/u, it demonstrated that BNN can provide good residue fragment
Abstract Carbon-based nanomaterials have important research significance in various disciplines, such as composite materials, nanoelectronic devices, biosensors, biological imaging, and drug delivery. Recently, the human ecological risks associated with carbon-based received increasing attention. However, safety of carbon based has not been systematically studied. In this study, we used different types namely, graphene oxide (GO), single-walled nanotubes (SWCNTs), multiwalled (MWCNTs),...
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...
Abstract Machine learning models are constructed to predict fragment production cross sections in projectile fragmentation (PF) reactions using Bayesian neural network (BNN) techniques. The massive for BNN is based on 6393 fragments from 53 measured reactions. A direct model and physical guiding via FRACS parametrization (BNN + FRACS) have been the section It verified that can reproduce a wide range of productions PF with incident energies 40 MeV/u 1 GeV/u, reaction systems nuclei Ar 208 Pb,...
We present ExoMiner++, an enhanced deep learning model that builds on the success of ExoMiner to improve transit signal classification in 2-minute TESS data. ExoMiner++ incorporates additional diagnostic inputs, including periodogram, flux trend, difference image, unfolded flux, and spacecraft attitude control data, all which are crucial for effectively distinguishing signals from more challenging sources false positives. To further enhance performance, we leverage transfer high-quality...
Abstract We report the first interpretation of ion cyclotron emission (ICE) based on frequency variation in HL-2A tokamak experiments. The measured frequencies ICE are concentrated around frequency, while simultaneously exhibiting a linear scaling with Alfvén velocity. A fully kinetic simulation demonstrates that low fast concentration, approaches wave dispersion relation. relation is similar to “equatorial noise” inner magnetosphere, providing new opportunities for comparing physical model...
The Shannon information entropy theory is used to explain the recently proposed isobaric yield ratio difference (IBD) probe which aims determine nuclear symmetry energy. Theoretically, between uncertainties carried by isobars in two different reactions (ΔIn21), found be equivalent chemical potentials of protons and neutrons [the IBD probe, IB-Δ(βμ)21, with β reverse temperature]. From viewpoints entropy, physical meaning above potential interpreted ΔIn21 as denoting energy or density more...
Abstract Since the first plasma realized in 2020, a series of key systems on HL-3 (known as HL-2M before) tokamak have been equipped/upgraded, including in-vessel components (the wall, lower divertor, and toroidal cryogenic/water-cooling/baking/glow discharge systems, etc.), auxiliary heating system 11 MW, 28 diagnostic (to measure density, electron temperature, radiation, magnetic field, etc.). Magnet field were commissioned firstly for divertor discharges. During 2nd experimental campaign...
An isobaric yield ratio difference (IBD) method is proposed to study the of between chemical potential neutron and proton temperature ($\Delta\mu/T$) in heavy-ion collisions. The $\Delta\mu/T$ determined by IBD (IB-$\Delta\mu/T$) compared results isoscaling (IS-$\Delta\mu/T$), which uses isotopic or isotonic ratio. Similar distributions IB- IS-$\Delta\mu/T$ are found measured 140$A$ MeV $^{40,48}$Ca + $^{9}$Be $^{58,64}$Ni reactions. both have a distribution with plateau small mass fragments...
Abstract HL-2M is a new medium-sized tokamak under construction at the Southwestern Institute of Physics, dedicated to supporting critical physics and engineering issues ITER CFETR. Analyzing integrated plasma scenarios essential for assessing performance metrics foreseeing as well envisaged experiments HL-2M. This paper comprehensively presents kind expected discharge regimes (conventional inductive (baseline), hybrid steady-state) based on suite codes METIS. The simulation results show...
The Bayesian neural network (BNN) method is used to construct a predictive model for fragment prediction of proton induced spallation reactions with the guidance simplified EPAX formula. Compared experimental data, it found that BNN + sEPAX can reasonably extrapolate less information compared method. provides new approach predict energy-dependent residual cross sections produced in proton-induced from tens MeV/u up several GeV/u.
In the framework of a modified Fisher model, using isobaric yield ratio method, we investigate fragments produced in 140 A MeV 40,48Ca+9Be and 58,64Ni+9Be projectile fragmentation reactions. Using different approximation methods, asym/T (the symmetry-energy coefficient to temperature) symmetric neutron-rich are extracted. It is found that depend on reference nucleus neutron excess fragments. The isobar decreases when neutron-excess increases, while for fragment with same neutron-excess,...