A5026973311- High Entropy Alloys Studies
- Satellite Communication Systems
- High-Temperature Coating Behaviors
- Additive Manufacturing Materials and Processes
- Intermetallics and Advanced Alloy Properties
- Advanced materials and composites
- Machine Learning in Materials Science
- Microstructure and mechanical properties
- Thermodynamic and Exergetic Analyses of Power and Cooling Systems
- X-ray Diffraction in Crystallography
- Non-Destructive Testing Techniques
- Nuclear Physics and Applications
- Advanced Materials Characterization Techniques
- Titanium Alloys Microstructure and Properties
- IoT Networks and Protocols
- Heat Transfer and Optimization
- Advanced MIMO Systems Optimization
- Aluminum Alloys Composites Properties
- Refrigeration and Air Conditioning Technologies
- Adsorption and Cooling Systems
- Opportunistic and Delay-Tolerant Networks
- Optical Wireless Communication Technologies
- Polymer Nanocomposite Synthesis and Irradiation
- Polymer Foaming and Composites
- Modular Robots and Swarm Intelligence
Southwest University of Science and Technology
2024
University of Science and Technology of China
2020-2024
Tsinghua University
2016-2024
Southern University of Science and Technology
2024
University of California, San Diego
1993-2023
Tianjin University
2023
Carnegie Mellon University
2020-2022
University of California, Berkeley
2021-2022
North China Electric Power University
2020-2021
Shanghai Research Center for Wireless Communications
2021
Extreme deformation of high-entropy alloys increases toughness by converting crystalline structures to amorphous zones.
Abstract Although high-entropy materials are attracting considerable interest due to a combination of useful properties and promising applications, predicting their formation remains hindrance for rational discovery new systems. Experimental approaches based on physical intuition and/or expensive trial error strategies. Most computational methods rely the availability sufficient experimental data power. Machine learning (ML) applied science can accelerate development reduce costs. In this...
Accurately determining the crystallographic structure of a material, organic or inorganic, is critical primary step in material development and analysis. The most common practices involve analysis diffraction patterns produced laboratory XRD, TEM, synchrotron X-ray sources. However, these techniques are slow, require careful sample preparation, can be difficult to access, prone human error during This paper presents newly developed methodology that represents paradigm change electron...
This paper reports on a heterogeneous-structured β-Ti alloy with an exceptional combination of high strength and ductility, resulting from optimized hierarchical features in lamellar microstructure. The microstructure is achieved by controlling fraction coarse/fine domains, spatial grain-size distribution, different types grain boundaries. large degree microstructural heterogeneity leads to obvious mechanical incompatibility strain partitioning during plastic deformation. In addition,...
A new class of non‐equiatomic FeNiCoAlTaB (NCATB) high entropy alloy (HEA) is introduced, which exhibits tunable properties from cryogenic/ambient superelasticity to ultra‐high strength through controlling the nature or type martensite. In current NCATB‐HEA system, depending on size γ’‐Ni 3 Al (L1 2 ) precipitates, thin‐plate, lenticular, butterfly, and lath‐like martensite can form. When thin‐plate thermoelastic favored, a superelastic strain about 0.025 (ambient) ≈0.01 (cryogenic) achieved...
Electron backscatter diffraction (EBSD) is one of the primary tools in materials development and analysis. The technique can perform simultaneous analyses at multiple length scales, providing local sub-micron information mapped globally to centimeter scale. Recently, a series technological revolutions simultaneously increased pattern quality collection rate. After collection, current EBSD indexing techniques (whether Hough-based or dictionary matching based) are capable reliably...