A5022718768- X-ray Diffraction in Crystallography
- Crystallization and Solubility Studies
- Nanoporous metals and alloys
- Stock Market Forecasting Methods
- Nuclear materials and radiation effects
- Tunneling and Rock Mechanics
- Nuclear Materials and Properties
- Advancements in Battery Materials
- Supercapacitor Materials and Fabrication
- Advanced ceramic materials synthesis
- Drilling and Well Engineering
- Advanced materials and composites
- Corrosion Behavior and Inhibition
- Topic Modeling
- Ion-surface interactions and analysis
- Energy Load and Power Forecasting
- nanoparticles nucleation surface interactions
- Electron and X-Ray Spectroscopy Techniques
- Catalytic Processes in Materials Science
- Metallurgical Processes and Thermodynamics
- Solidification and crystal growth phenomena
- Financial Markets and Investment Strategies
- Anodic Oxide Films and Nanostructures
- Cultural Heritage Materials Analysis
- Building materials and conservation
Dalian University of Technology
2024
Lanzhou University
2022-2024
Stony Brook University
2018-2024
Columbia University
2019-2023
Beijing Institute of Petrochemical Technology
2023
Shandong University
2023
Chengdu University
2023
Hefei University
2022
Jilin University
2005-2021
Henan Normal University
2021
Three-dimensional bicontinuous porous materials formed by dealloying contribute significantly to various applications including catalysis, sensor development and energy storage. This work studies a method of molten salt via real-time in situ synchrotron three-dimensional X-ray nano-tomography. Quantification morphological parameters determined that long-range diffusion is the rate-determining step for process. The subsequent coarsening rate was primarily surface controlled, with Rayleigh...
Deep learning models have been extensively employed to simulate dynamic Land Use Changes (LUC) at the regional level. However, existing studies were found be limited by inadequate extraction of Spatiotemporal Neighborhood Features (SNF) and ignored obvious Long-Term Dependence (LTD) in time series data, which low simulation accuracies. Consequently, it remains explored whether deep should initially extract spatial or temporal features LUC simulations achieve better results. We propose here a...
Large language models (LLMs) have demonstrated remarkable proficiency in understanding and generating human-like texts, which may potentially revolutionize the finance industry. However, existing LLMs often fall short financial field, is mainly attributed to disparities between general text data data. Unfortunately, there only a limited number of datasets available, BloombergGPT, first LLM (FinLLM), close-sourced (only training logs were released). In light this, we aim democratize...
Quantum computing promises advantages over classical computing. The manufacturing of quantum hardware is in the infancy stage, called Noisy Intermediate-Scale (NISQ) era. A major challenge automated circuit design that map a to gates universal gate set. In this paper, we present generic MDP modeling and employ Q-learning DQN algorithms for design. By leveraging power deep reinforcement learning, aim provide an automatic scalable approach traditional hand-crafted heuristic methods.
Understanding the mechanisms leading to degradation of alloys in molten salts at elevated temperatures is significant for developing several key energy generation and storage technologies, including concentrated solar next-generation nuclear power plants. Specifically, fundamental different types corrosion various morphological evolution characteristics changing reaction conditions between salt alloy remain unclear. In this work, three-dimensional (3D) Ni–20Cr KCl–MgCl2 studied 600 °C by...
Highlights Existing tracking methods face challenges in accuracy and robustness. FishMOT (Multiple Object Tracking for Fish) is a novel fish-tracking approach combining object detection IoU matching. outperforms state-of-the-art multi-target trackers specialized tools on several metrics. The simplified workflow strong performance make highly effective approach. Abstract. Fish plays vital role understanding fish behavior ecology. However, existing robustness due to morphological changes fish,...
Chemical conversion coating as an effective corrosion inhibition has wide range of applications in industries and is great expectation to be environmentally friendly cost-effective. Zirconium-based (Zr-based) using hexafluorozirconic acid with copper (Cu) additive on low carbon steel which improves anticorrosion adhesion properties was studied synchrotron X-ray electron-based techniques. To understand the elemental evolution during formation process, situ fluorescence (XRF) microscopy been...
Designing materials with multiscale, hierarchical structure is critical to drive the advancement of new technology. Specifically, porous metals multiscale porosity from nanometer micrometer sizes would lead enhanced physical and chemical properties-the micron-sized pores can increase effective diffusivity ion transport within media, nano-sized provide high specific surface area, enabling functionalities that are unique nanoporous metals. A ternary precursor alloy selection concept utilizing...
This paper reported for the first time a comparative study of photocatalytic activity Keggin-type Mn(II)-substituted heteropolyanion PW11O39MnII(H2O)5– (PW11Mn) and its heterogeneous system PW11Mn/D301R through degradation rhodamine B (RhB) under visible light irradiation. A novel mechanism was suggested, an interaction between PW11Mn RhB scrutinized by using absorption spectrum fluorescence emission spectrum. Influences some factors such as initial concentration, dosage, solution pH,...
Plant factories can potentially enhance the climate resilience of urban vegetable production by reducing losses from hazards but generate high burdens - due to consuming carbon-intensive power generated coal combustion with upstream methane emissions unlike rural traditional sunlight greenhouses nitrous oxide emissions. Here, we compared life cycle Global Warming Potential (GWP) and Technical (TWP) metrics lettuce plant factory greenhouse, explored effect grid decarbonization on performance...
Thin-film solid-state interfacial dealloying (thin-film SSID) is an emerging technique to design nanoarchitecture thin films. The resulting controllable 3D bicontinuous nanostructure promising for a range of applications including catalysis, sensing, and energy storage. Using multiscale microscopy approach, we combine X-ray electron nano-tomography demonstrate that besides dense nanocomposites, thin-film SSID can create very fine (5-15 nm) nanoporous structure. Not only such feature among...
Abstract The development of eco‐friendly and low cost catalysts is challenging. Here, heterostructures Bi 2 S 3 quantum dots (QDs) doped onto ultrathin BiOCl nanosheets were synthesized by a facile hydrothermal method to exploit efficient photosensitizers with appropriate electronic states enhance the transfer electrons. obtained −BiOCl showed highly photocatalytic ability for selective oxidation aromatic alcohols aldehydes. More oxygen vacancies are formed on exposed 001 facet BiOCl, which...
Abstract Porous materials with high specific surface area, porosity, and electrical conductivity are promising for functional applications, including catalysis, sensing, energy storage. Molten salt dealloying was recently demonstrated in microwires as an alternative method to fabricate porous structures. The takes advantage of the selective dissolution process introduced by impurities often observed molten corrosion. This work further investigates bulk Ni–20Cr alloy both KCl–MgCl 2 KCl–NaCl...
Molten salts serve as effective high-temperature heat transfer fluids and thermal storage media used in a wide range of energy generation facilities, including concentrated solar power plants, molten salt reactors batteries. However, at the salt-metal interfaces, complex interplay charge-transfer reactions involving various metal ions, generated either fission products or through corrosion structural materials, takes place. Simultaneously, there is mass transport ions atoms within parent...
Environmentally friendly chromate-free, zirconium (Zr)-based conversion coating is a promising green technology for corrosion protection. Additives in the surface treatment provide critical functionalities and performance improvements; however, mechanistic understanding as to how additives influence coatings remains unclear. In this study, new organic–inorganic hybrid Zr-based combines copper (Cu) compounds polyamidoamine (PAMAM), taking advantage of complementary nature organic inorganic...
Large language models (LLMs) have shown the potential of revolutionizing natural processing tasks in diverse domains, sparking great interest finance. Accessing high-quality financial data is first challenge for LLMs (FinLLMs). While proprietary like BloombergGPT taken advantage their unique accumulation, such privileged access calls an open-source alternative to democratize Internet-scale data. In this paper, we present large model, FinGPT, finance sector. Unlike models, FinGPT takes a...
The sintering processing–structure–property relationship of a multiscale silver materials is investigated: microparticles with nanofeatures, particularly on their three‐dimensional (3D) morphology. target application to replace conventional lead‐based solders in advanced electronic manufacturing. Unlike solders, powders are suited satisfy increasingly demanding mechanical, electrical, and thermal requirements, meanwhile being free health effect. Sintering the material at low temperature...