Guohui Zheng
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View article: High-fidelity data-driven dynamics model for reinforcement learning-based control in HL-3 tokamak
High-fidelity data-driven dynamics model for reinforcement learning-based control in HL-3 tokamak Open
Reinforcement learning (RL)-based control in tokamaks offers improved flexibility for nuclear fusion, but typically depends on simulators that can accurately evolve the high-dimensional plasma state. First-principle simulators are often to…
View article: FusionMAE: large-scale pretrained model to optimize and simplify diagnostic and control of fusion plasma
FusionMAE: large-scale pretrained model to optimize and simplify diagnostic and control of fusion plasma Open
In magnetically confined fusion device, the complex, multiscale, and nonlinear dynamics of plasmas necessitate the integration of extensive diagnostic systems to effectively monitor and control plasma behaviour. The complexity and uncertai…
View article: EFIT-mini: an embedded, multi-task neural network-driven equilibrium inversion algorithm
EFIT-mini: an embedded, multi-task neural network-driven equilibrium inversion algorithm Open
This paper presents EFIT-mini, a novel equilibrium reconstruction algorithm which integrates neural networks with physical simulation, enabling real-time plasmas control in the EXL-50U tokamak. By synergizing the high accuracy and physical…
View article: Enantioselective [5 + 1] cycloaddition of sulfur ylides and vinylethylene carbonates <i>via</i> synergistic palladium/chiral phosphonic acid catalysis
Enantioselective [5 + 1] cycloaddition of sulfur ylides and vinylethylene carbonates <i>via</i> synergistic palladium/chiral phosphonic acid catalysis Open
An effective method for the synthesis of dihydropyrans through synergistic palladium and chiral phosphonic acid catalysis was reported. This protocol proceeded under mild reactions and provided dihydropyrans in up to 87% yield and up to 97…
View article: Implementing deep learning-based disruption prediction in a drifting data environment of new tokamak: HL-3
Implementing deep learning-based disruption prediction in a drifting data environment of new tokamak: HL-3 Open
A deep learning-based disruption prediction algorithm has been implemented on a new tokamak, HL-3. An Area Under receiver-operator characteristic Curve of 0.940 has been realized offline over a test campaign involving 72 disruptive and 240…
View article: Real-time equilibrium reconstruction by multi-task learning neural network based on HL-3 tokamak
Real-time equilibrium reconstruction by multi-task learning neural network based on HL-3 tokamak Open
A neural network model, EFITNN, has been developed capable of real-time magnetic equilibrium reconstruction based on HL-3 tokamak magnetic measurement signals. The model processes inputs from 68 channels of magnetic measurement data gather…
View article: High-Fidelity Data-Driven Dynamics Model for Reinforcement Learning-based Control in HL-3 Tokamak
High-Fidelity Data-Driven Dynamics Model for Reinforcement Learning-based Control in HL-3 Tokamak Open
The success of reinforcement learning (RL)-based control in tokamaks, an emerging technique for controlled nuclear fusion with improved flexibility, typically requires substantial interaction with a simulator capable of accurately evolving…
View article: Real-time equilibrium reconstruction by neural network based on HL-3 tokamak
Real-time equilibrium reconstruction by neural network based on HL-3 tokamak Open
A neural network model, EFITNN, has been developed capable of real-time magnetic equilibrium reconstruction based on HL-3 tokamak magnetic measurement signals. The model processes inputs from 68 channels of magnetic measurement data gather…
View article: Thermal conductivities of ultra-lightweight <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:msub> <mml:mi>C</mml:mi> <mml:mrow> <mml:mn>12</mml:mn> </mml:mrow> </mml:msub> </mml:mrow> </mml:math> -based type-VII clathrates: an <i>ab initio</i> and comparative study
Thermal conductivities of ultra-lightweight -based type-VII clathrates: an <i>ab initio</i> and comparative study Open
Caged carbon clathrates may have profound applications in thermoelectrics due to their inherent host–guest relations. Using ab initio techniques, we investigate the electronic and phononic properties of type-VII clathrate, which is a…
View article: Unravelling the Role of Electron Acceptors for the Universal Enhancement of Charge Transport in Quinoid‐Donor‐Acceptor Polymers for High‐Performance Transistors
Unravelling the Role of Electron Acceptors for the Universal Enhancement of Charge Transport in Quinoid‐Donor‐Acceptor Polymers for High‐Performance Transistors Open
The quinoid‐donor‐acceptor (Q‐D‐A) strategy has recently emerged as a promising approach for constructing high mobility semiconducting polymers. In order to fully explore the potential of this strategy in improving the charge transport and…
View article: An unprecedented quinoid–donor–acceptor strategy to boost the carrier mobilities of semiconducting polymers for organic field-effect transistors
An unprecedented quinoid–donor–acceptor strategy to boost the carrier mobilities of semiconducting polymers for organic field-effect transistors Open
A novel quinoid–donor–acceptor strategy to design a quinoidal–aromatic conjugated polymer PAQM-BT is established. A hole mobility of up to 5.10 cm 2 V −1 s −1 in OFETs is realized, which is among the highest values for quinoidal–aromatic p…
View article: Two-dimensional clathrate graphene in minimum egg-tray-shape: An ab initio study
Two-dimensional clathrate graphene in minimum egg-tray-shape: An ab initio study Open
View article: Stabilized Interfacial Ferromagnetism and Enhanced Magnetoelectric Properties of Ultrathin FeRh Films Capped with Heavy Transition Metal Ta
Stabilized Interfacial Ferromagnetism and Enhanced Magnetoelectric Properties of Ultrathin FeRh Films Capped with Heavy Transition Metal Ta Open
Thin FeRh film was extensively studied recently, and an emergent substrate- and capping-dependent interfacial ferromagnetism (FM) was widely observed in experiments. However, the voltage modulation of this interfacial ferromagnetism is bar…
View article: Electric field control of magnetization direction across the antiferromagnetic to ferromagnetic transition
Electric field control of magnetization direction across the antiferromagnetic to ferromagnetic transition Open
View article: The electrical and thermal transport properties of hybrid zigzag graphene-BN nanoribbons
The electrical and thermal transport properties of hybrid zigzag graphene-BN nanoribbons Open
The electron and phonon transport in hybrid graphene-BN zigzag nanoribbons are investigated by the nonequilibrium Green's function method combined with density functional theory calculations. A 100% spin-polarized electron transport in a l…
View article: Spin-polarized electron transport in hybrid graphene-BN nanoribbons
Spin-polarized electron transport in hybrid graphene-BN nanoribbons Open
The experimental realization of hybrid graphene and h-BN provides a new way to modify the electronic and transport properties of graphene-based materials. In this work, we investigate the spin-polarized electron transport in hybrid graphen…
View article: Epitaxial strain controlled magnetocrystalline anisotropy in ultrathin FeRh/MgO bilayers
Epitaxial strain controlled magnetocrystalline anisotropy in ultrathin FeRh/MgO bilayers Open
Using ab initio electronic structure calculations we have investigated the effect of epitaxial strain on the magnetocrystalline anisotropy (MCA) of ultrathin FeRh/MgO heterostructures. Analysis of the energy- and k-resolved distribution of…