A5100367520- Geotechnical Engineering and Underground Structures
- Geotechnical Engineering and Soil Stabilization
- Geotechnical Engineering and Soil Mechanics
- Seismic Performance and Analysis
- Seismic Waves and Analysis
- Structural Health Monitoring Techniques
- Civil and Geotechnical Engineering Research
- Geotechnical Engineering and Analysis
- Seismic Imaging and Inversion Techniques
- Landslides and related hazards
- High-pressure geophysics and materials
- earthquake and tectonic studies
- Hydrocarbon exploration and reservoir analysis
- Model Reduction and Neural Networks
- Rare-earth and actinide compounds
- Advanced Algorithms and Applications
- Grouting, Rheology, and Soil Mechanics
- Advanced Optical Imaging Technologies
- Hydraulic and Pneumatic Systems
- Vibration and Dynamic Analysis
- Dam Engineering and Safety
- Advanced Computational Techniques and Applications
- Advanced Sensor and Control Systems
- Seismology and Earthquake Studies
- Statistical Methods and Inference
Beijing University of Technology
2014-2025
Hohai University
2023-2025
Southwest University
2024-2025
Jiangnan University
2025
Ningbo University
2022-2024
Inner Mongolia University
2024
Jilin University
2021-2024
State Key Laboratory of Superhard Materials
2021-2024
Sichuan University
2015-2024
Shanghai Electric (China)
2023-2024
k nearest neighbor join ( NN join), designed to find neighbors from a dataset S for every object in another R , is primitive operation widely adopted by many data mining applications. As combination of the query and operation, an expensive operation. Given increasing volume data, it difficult perform on centralized machine efficiently. In this paper, we investigate how using MapReduce which well-accepted framework data-intensive applications over clusters computers. brief, mappers cluster...
Covalent and ionic polyhydrides have become the two main camps in searching for high-temperature superconductors under pressure. They been considered as important platforms exploring ternary or multiple hydrides order to further increase Tc decrease stabilization In this work, we successfully synthesized hexagonal La-Ce stable pressure range of 95-130 GPa by laser-heating alloy (initial ratio La:Ce=2.5-3.5) ammonia borane. Superconductivity at 176 K was strikingly preserved about 100 GPa....
As compressed hydrides constantly refresh the records of superconducting critical temperatures (Tc) in vicinity room temperature, this further reinforces confidence to find more high-temperature hydrides. In process, metastable phases superhydrides offer enough possibilities access superior properties. Here we report a hexagonal lanthanum superhydride (P63/mmc-LaH10) stabilized at 146 GPa by introducing an appropriate proportion Al, which exhibits superconductivity with Tc ∼ 178 K, and value...
ABSTRACT Since the discovery of high-temperature superconductors H3S and LaH10 under high pressure, compressed hydrides have received extensive attention as promising candidates for room-temperature superconductors. As a result current high-pressure theoretical experimental studies, it is now known that almost all binary with superconducting transition temperature (Tc) require extremely pressure to remain stable, hindering any practical application. In order further lower stable improve...
ABSTRACT Hydride superconductors continue to fascinate the communities of condensed matter physics and material scientists because they host promising near room-temperature superconductivity. Current research has concentrated on new hydride with enhancement superconducting transition temperature (Tc). The multiple extreme conditions (high pressure/temperature magnetic field) will introduce insights into superconductors. study transport properties under very high fields facilitates...
The recent revolution in the superconductivity field stems from hydride superconductors. Multicomponent hydrides provide a crucial platform for tracking high-temperature Besides high superconducting transition temperature (Tc), achieving both giant upper critical magnetic [μ0Hc2(0)] and current density [Jc(0)] is also key to latent potential of application In this work, we have successfully synthesized quaternary La–Y–Ce with excellent properties under moderate pressure by using concept...
Abstract The discovery of new superconducting materials, particularly those exhibiting high critical temperature ( T c ), has been a vibrant area study within the field condensed matter physics. Conventional approaches primarily rely on physical intuition to search for potential superconductors existing databases. However, known materials only scratch surface extensive array possibilities realm materials. Here, we develop InvDesFlow, an AI-driven inverse design workflow that integrates deep...
Insulated isothermal PCR (iiPCR), established on the basis of Ralyeigh-Bénard convection, is a rapid and low-cost platform for nucleic acid amplification. However, method used signal detection, namely gel electrophoresis, has limited application iiPCR. In this study, TaqMan probe-based iiPCR system was developed to obviate need post-amplification processing. This includes an optical detection module, which designed integrated into device detect fluorescent signals generated by probe....
The choice of bandwidth is crucial to the kernel density estimation (KDE) and based regression. Various selection methods for KDE local least square regression have been developed in past decade. It has known that scale location parameters are proportional functionals<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="M1"><mml:mrow><mml:mo stretchy="false">∫</mml:mo><mml:mrow><mml:mi>γ</mml:mi><mml:mo stretchy="false">(</mml:mo><mml:mi>x</mml:mi><mml:mo...
Background: The nuclear charge radii provide direct information for the structures. In recent years, many pioneering researches have been devoted to based on Bayesian neural networks (BNN) method.Purpose: always complex structure. To analyze data relationships clearly, a statistical method is introduced study properties by combining sophisticated models with naive probability (NBP) classifier.Method: framework of NBP method, predicted are interpreted as most reasonable expectations. prior...