A5100723217- Phase-change materials and chalcogenides
- Electrocatalysts for Energy Conversion
- Chalcogenide Semiconductor Thin Films
- Transition Metal Oxide Nanomaterials
- Fuel Cells and Related Materials
- Catalytic Processes in Materials Science
- Metamaterials and Metasurfaces Applications
- Thermal properties of materials
- Crystallization and Solubility Studies
- Advanced Memory and Neural Computing
- 2D Materials and Applications
- X-ray Diffraction in Crystallography
- Advanced battery technologies research
- Surface Modification and Superhydrophobicity
- Advanced Thermoelectric Materials and Devices
- Topological Materials and Phenomena
- Machine Learning in Materials Science
- Solid-state spectroscopy and crystallography
- Advancements in Solid Oxide Fuel Cells
- Diamond and Carbon-based Materials Research
- Atomic and Molecular Physics
- Superconductivity in MgB2 and Alloys
- Nonlinear Optical Materials Studies
- CO2 Reduction Techniques and Catalysts
- Nanofluid Flow and Heat Transfer
University of Science and Technology of China
2022-2025
Hefei National Center for Physical Sciences at Nanoscale
2025
Chinese Academy of Sciences
2011-2024
Changchun Institute of Applied Chemistry
2017-2024
Shanghai Institute of Microsystem and Information Technology
2019-2024
École Nationale Supérieure d’Informatique pour l’Industrie et l’Entreprise
2024
Institute of Subtropical Agriculture
2023
Institute of Physics
2023
Capital Normal University
2023
University of Chinese Academy of Sciences
2021-2023
Developing highly efficient, low-cost oxygen reduction catalysts, especially in acidic medium, is of significance toward fuel cell commercialization. Although pyrolyzed Fe-N-C catalysts have been regarded as alternatives to platinum-based catalytic materials, further improvement requires precise control the Fe-Nx structure at molecular level and a comprehensive understanding site ORR mechanism on these materials. In this report, we present microporous metal–organic-framework-confined...
Researchers design ultrathin Pt-Mo-Ni NWs as cost-effective, active, and durable electrocatalysts.
Abstract The applications of the most promising Fe—N–C catalysts are prohibited by their limited intrinsic activities. Manipulating Fe energy level through anchoring electron‐withdrawing ligands is found effective in boosting catalytic performance. However, such regulation remains elusive as only uncontrollably introduced oweing to energetically unstable nature. Herein, we report a rational manipulation strategy for introducing axial bonded O sites, attained hexa‐coordinating with oxygen...
Abstract Single‐atom catalysts (SACs) are attracting widespread interest for the catalytic oxygen reduction reaction (ORR), with Fe−N x SACs exhibiting most promising activity. However, Fe‐based suffer serious stability issues as a result of oxidative corrosion through Fenton reaction. Herein, using metal‐organic framework an anchoring matrix, we first time obtained pyrolyzed Cr/N/C ORR, where atomically dispersed Cr is confirmed to have Cr−N 4 coordination structure. The catalyst exhibits...
<title>Abstract</title> The rapid magnetic recovery process (MRP) after photoexcitation is crucial for efficient information recording in magnets but often impeded by insufficient spin flip channels. Using time-domain <italic>ab initio</italic> nonadiabatic molecular dynamics including spin-orbital coupling (SOC), we investigate MRP a CrI<sub>3</sub> ferromagnetic monolayer and find that defects can accelerate this process. In defect-free CrI<sub>3</sub>, slow (400 fs) due to weak SOC...
Many experiments have shown that three-dimensional-confined grain refinement (GR) textures in phase-change memory reduce power consumption and improve endurance performance. However, a lack of knowledge on the GR mechanisms their influence device performances challenges designs concurrently enhance comprehensive using same impurity-doped strategy. Here, we experimentally observe dramatic carbon-doped Ge2Sb2Te5 (GST), which also presents reduced enhanced performances. We provide low evidence...
While alloy design has practically shown an efficient strategy to mediate two seemingly conflicted performances of writing speed and data retention in phase-change memory, the detailed kinetic pathway alloy-tuned crystallization is still unclear. Here, we propose hierarchical melt coordinate bond strategies solve them, where former stabilizes a medium-range crystal-like region latter provides rule stabilize amorphous. The Er0.52Sb2Te3 compound designed achieves 3.2 ns ten-year 161 °C. We...
Ge2Sb2Te5 (GST) is the most important material for phase change random access memory (PCRAM) applications, while formation of hexagonal (h-) results in low switching speed, large energy consumption, and worse endurance performance. Uncovering mechanism h-phase beneficial further improvement GST-based PCRAM devices. In this work, through advanced spherical aberration corrected transmission electron microscopy back-scattered diffraction technique, microstructure evolution clearly clarified. We...
Metalenses can achieve diffraction-limited focusing via localized phase modification of the incoming light beam. However, current metalenses face to restrictions on simultaneously achieving large diameter, numerical aperture, broad working bandwidth and structure manufacturability. Herein, we present a kind composed concentric nanorings that address these using topology optimization approach. Compared existing inverse design approaches, computational cost our method is greatly reduced for...
Ningxiang pigs exhibit a diverse array of fatty acids, making them an intriguing model for exploring the genetic underpinnings acid metabolism. We conducted genome-wide association study using dataset comprising 50,697 single-nucleotide polymorphisms (SNPs) and samples from over 600 pigs. Our investigation yielded novel candidate genes linked to five saturated acids (SFAs), four monounsaturated (MUFAs), polyunsaturated (PUFAs). Significant associations with SFAs, MUFAs, PUFAs were found 37,...
Phase change memory (PCM), due to the advantages in capacity and endurance, has opportunity become next generation of general-purpose memory. However, operation speed data retention are still bottlenecks for PCM development. The most direct way solve this problem is find a material with high good thermal stability. In paper, platinum doping proposed improve performance. 10-year temperature doped up 104 °C; device achieves an 6 ns more than 3 × 105 cycles. An excellent performance was derived...
Interface-influenced crystallization is crucial to understanding the nucleation- and growth-dominated mechanisms in phase-change materials (PCMs), but little known. Here, we find that composition vacancy can reduce interface energy by decreasing coordinate number (CN) at interface. Compared GeTe, nucleation-dominated Ge2Sb2Te5 (GST) exhibits vacancies (111) saturate or stabilize Te-terminated plane. Together, experimental computational results provide evidence GST prefers with reduced CN....
Developing high-performance, durable, and ultralow-loading platinum (Pt) catalysts for the oxygen reduction reaction (ORR) is crucial advancing fuel cells. Here, a novel structured alloy catalyst reported, characterized by Pt-Co intermetallic compounds with Pt-skin, encapsulated covalent organic framework (COF) derived carbon support. This unique structure, combining alloy-induced strain effects protective encapsulation, leads to exceptional catalytic activity stability at an ultralow Pt...
Ge2Sb2Te5(GST) is the most widely used matrix material in phase change random access memory (PCRAM). In practical PCRAM device, formed large hexagonal GST not preferred, especially when size of storage architecture continually scaling down. this report, with aid spherical-aberration corrected transmission electron microscopy (Cs-TEM), grain growth behavior during thein situheating process alloy investigated. Generally, metastable face-centered-cubic (f-) tends to grow up increasing...
Abstract Based on the mechanism of action, a quantitative structure–activity relationship (QSAR) model for depuration rate constants (k d) 28 PAHs, 8 PBDEs and PCBs in mussels (Elliptio complanata) was constructed by partial least squares (PLS) regression, following guidelines development validation QSAR models. For training set model, r 2 = 0.953, cross-validated regression coefficient () 0.947. The predicted log k d values were consistent with observed values, standard error (SE) 0.160...