Publications by authors named "Wang Pengshuai"

The performance of narrow-bandgap (NBG) perovskite solar cells (PSCs) is limited by the severe nonradiative recombination and carrier transport barrier at the electron selective interface. Here, we reveal the importance of the molecular orientation for effective defect passivation and protection for Sn at the perovskite/C interface. We constructed an internally self-anchored dual-passivation (ISADP) layer, where the orientation of PCBM can be significantly enhanced by the interaction between ammonium and carbonyl groups.

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Article Synopsis
  • The study focuses on improving the strength and stability of fractured rock masses for long-term mining by using fly ash grouting slurry.
  • It involves an orthogonal test and numerical simulations to determine the optimal slurry mixture and analyze key properties like fluidity, compressive strength, and setting time.
  • The results show a significant decrease in permeability from 971.9 mD to 45.79 mD after 1800 seconds, indicating enhanced sealing performance, which is helpful for underground grouting reinforcement practices.
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In order to solve the water and gas discharge hazard caused by gob water and harmful gases (such as CO), the method of grouting overburden fractures is adopted to achieve the purpose of safe and efficient mining production in coal mines. This paper carries out the experimental research on the permeability reduction effect of grouting in fractured rock mass, expounds the relationship between gas flow rate and pressure gradient, seepage pressure and permeability, confining pressure and permeability, and analyzes the permeability change law of fractured rock mass before and after grouting. Besides, the grouting migration and permeability reduction model of fractured fine-grained sandstone is constructed by combining grouting test and numerical simulation, which reveals the dynamic evolution law of rock mass permeability in the grouting process.

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Mesh repair is a long-standing challenge in computer graphics and related fields. Converting defective meshes into watertight manifold meshes can greatly benefit downstream applications such as geometric processing, simulation, fabrication, learning, and synthesis. In this work, by assuming the model is visually correct, we first introduce three visual measures for visibility, orientation, and openness, based on ray-tracing.

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  • Surface reconstruction can be tough when working with noisy point clouds lacking normals, but the new approach called Neural-IMLS effectively learns a noise-resistant signed distance function from raw data in a self-supervised way.
  • Neural-IMLS combines the strengths of Multilayer Perceptrons (MLPs) and implicit moving least-square functions (IMLS) to enhance surface representation, allowing for better geometric detail and sharp features.
  • Experiments show that Neural-IMLS successfully reconstructs accurate shapes from noisy and incomplete data, and the source code is available online for further exploration.
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  • - The study explores the potential of using CRISPR/Cas9 and induced pluripotent stem cells (iPSCs) as a treatment for Charcot-Marie-Tooth disease (CMT), a neurological condition that currently has no effective clinical treatment.
  • - Researchers reprogrammed skin fibroblasts from CMT type 2D patients to create iPSCs and successfully repaired a specific genetic mutation responsible for the disease using CRISPR/Cas9 technology.
  • - The successful generation of genetically corrected iPSCs lays the groundwork for future treatments, suggesting a promising direction for developing autologous cell therapies for degenerative neurological diseases like CMT.
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Voxel-based 3D convolutional neural networks (CNNs) have been applied to predict protein-ligand binding affinity. However, the memory usage and computation cost of these voxel-based approaches increase cubically with respect to spatial resolution and sometimes make volumetric CNNs intractable at higher resolutions. Therefore, it is necessary to develop memory-efficient alternatives that can accelerate the convolutional operation on 3D volumetric representations of the protein-ligand interaction.

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Single-walled carbon nanotubes (SWCNTs) are potential antibacterial material, and their antibacterial activity in aqueous solutions depends on efficient surfactants to create strong interactions between well-dispersed SWCNTs and bacterial cells. Here, we designed and synthesized a new family of cationic surfactants by introducing different positively charged hydrophilic heads, i.e.

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α-RuCl_{3} is a leading candidate material for the observation of physics related to the Kitaev quantum spin liquid (QSL). By combined susceptibility, specific-heat, and nuclear-magnetic-resonance measurements, we demonstrate that α-RuCl_{3} undergoes a quantum phase transition to a QSL in a magnetic field of 7.5 T applied in the ab plane.

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We use nuclear magnetic resonance (NMR), high-resolution x-ray, and neutron scattering studies to study structural and magnetic phase transitions in phosphorus-doped BaFe2(As(1-x)P(x)2. Previous transport, NMR, specific heat, and magnetic penetration depth measurements have provided compelling evidence for the presence of a quantum critical point (QCP) near optimal superconductivity at x=0.3.

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