科研成果

2024
Huang D, Siebert J, Sossi P, Kubik E, Avice G, Murakami M. Nitrogen sequestration in the core at megabar pressure and implications for terrestrial accretion. Geochimica et Cosmochimica Acta [Internet]. 2024;376:100–112. 访问链接Abstract
Nitrogen (N) is the most abundant element in Earth's atmosphere, but is extremely depleted in the silicate Earth. However, it is not clear whether core sequestration or early atmospheric loss was responsible for this depletion. Here we study the effect of core formation on the inventory of nitrogen using laser-heated diamond anvil cells. We find that, due to the simultaneous dissolution of oxygen in the metal, N becomes much less siderophile (iron-loving) at pressures and temperatures up to 104 GPa and 5000 K, a thermodynamic condition relevant to the bottom of the magma ocean in the aftermath of the moon-forming giant impact. Using a core–mantle–atmosphere coevolution model, we show that the impact-induced processes (core formation and/or atmospheric loss) are unlikely to account for the observed N anomaly, which is instead best explained by the accretion of mainly N-poor impactors. The terrestrial volatile pattern requires severe N depletion on precursor bodies, prior to their accretion to the proto-Earth.
Zhang K, Shen S-L, Wu H, Zhou A. Nitsche-based material point method for large deformation frictional contact problems. Computational Particle Mechanics [Internet]. 2024. 访问链接
Liao X*, Liu X-Y*, Wang A-Q, Yin Q, Zhao T-Y, Liao Z-M†. Nonlinear valley and spin valves in bilayer graphene. Phys. Rev. Applied [Internet]. 2024. 访问链接
Xu W, Luo J, Fu Z, Wang K, Huang Q, HUANG R. A Novel Complementary Ferroelectric FET based Compressed Multibit Content Addressable Memory with High Area-and Energy-Efficiency. 2024 8th IEEE Electron Devices Technology & Manufacturing Conference (EDTM). 2024:1-3.
Xu W, Luo J, Fu Z, Wang K, Huang Q, HUANG R. A Novel Complementary Ferroelectric FET based Compressed Multibit Content Addressable Memory with High Area-and Energy-Efficiency. 2024 8th IEEE Electron Devices Technology & Manufacturing Conference (EDTM). 2024:1-3.
Xu W, Luo J, Fu B, Chen Z, Fu Z, Wang K, Huang Q, HUANG R. A Novel Ferroelectric FET based Multibit Content Addressable Memory with Dynamic and Static Modes for Energy-Efficient Training and Inference. 2024 IEEE European Solid-State Electronics Research Conference (ESSERC). 2024:404-407.
Xu W, Luo J, Fu B, Chen Z, Fu Z, Wang K, Huang Q, HUANG R. A Novel Ferroelectric FET based Multibit Content Addressable Memory with Dynamic and Static Modes for Energy-Efficient Training and Inference. 2024 IEEE European Solid-State Electronics Research Conference (ESSERC). 2024:404-407.
Xu W, Luo J, Chen Z, Fu B, Fu Z, Wang K, Huang Q, HUANG R. A Novel Ferroelectric FET based Universal Content Addressable Memory with Reconfigurability for Area-and Energy-Efficient In-Memory-Searching System. IEEE Electron Device Letters. 2024.
Xu W, Luo J, Chen Z, Fu B, Fu Z, Wang K, Huang Q, HUANG R. A Novel Ferroelectric FET based Universal Content Addressable Memory with Reconfigurability for Area-and Energy-Efficient In-Memory-Searching System. IEEE Electron Device Letters. 2024.
Xu W, Luo J, Fu Z, Han R, Bao S, Wang K, Huang Q, HUANG R. Novel Ferroelectric-Based Ising Machine Featuring Reconfigurable Arbitrary Ising Graph and Controllable Annealing Through Device-Algorithm Co-Optimization. 2024 IEEE International Electron Devices Meeting (IEDM). 2024:1-4.
Xu W, Luo J, Fu Z, Han R, Bao S, Wang K, Huang Q, HUANG R. Novel Ferroelectric-Based Ising Machine Featuring Reconfigurable Arbitrary Ising Graph and Controllable Annealing Through Device-Algorithm Co-Optimization. 2024 IEEE International Electron Devices Meeting (IEDM). 2024:1-4.
Zhu W, Guo S, Shi J, Song K, Yu Y, Tan R, Lou S, Chen J, Qiao L, Hu M. Novel Findings on Molecular SOA Fingerprint Lists: Implications for Interaction of Multiprecursor Oxidation. Environmental Science and Technology Letters. 2024.
Zhang K, Jin Z, Liu Q, Liu L. Novel Green Hydrogen – Fossil Fuel Dehydrogenation. Fundamental Research [Internet]. 2024. 访问链接Abstract
ABSTRACT Climate change requires an immediate transition from fossil fuels to clean energy sources. Although hydrogen is considered a future energy source, over 90% of hydrogen is currently produced from fossil fuels, and large-scale renewable-fed hydrogen processes are limited by current technologies and economic processes. Therefore, hydrogen production from fossil fuels is a significant topic, particularly if fossil fuel-fed hydrogen production and utilization can be absolutely carbon-free. For the first time, this review critically discusses and analyzes the current advances and fundamentals of fossil fuel dehydrogenation from the perspective of techno-economic-environmental assessments while considering all potential fossil resources and hydrogen technology. This review concludes that the preference of fossil fuels for any hydrogen production technology is as follows: fossil gas > heavy fossil liquid > light fossil liquid > fossil minerals. Thermo-catalytic hydrocarbon decomposition can outperform most other hydrocarbon reforming and pyrolysis processes owing to its energy efficiency, economic effectiveness, and environmental friendliness. Further, we explore potentially new “green hydrogen” technology and confirm that fossil fuels could be completely decarbonized throughout the full-chain stages from exploration to production and consumption. Overall, this work reveals that fossil fuels can be utilized completely carbon-free and provides technical support for future fossil fuel dehydrogenation and energy decarbonization in academic research, industrial practice, and governmental strategies.
Zhou Y, HUANG R, Tang K. A Novel Hybrid-FE-layer FeFET with Enhanced Linearity for On-chip Training of CIM Accelerator, in 2024 8th IEEE Electron Devices Technology & Manufacturing Conference (EDTM).; 2024:1-3.
Chai X, Tian L, Wang J, Chen S, Mo S, Zhang K. A novel prediction model of oil-water relative permeability based on fractal theory in porous media. Fuel [Internet]. 2024;372:131840. 访问链接Abstract
It is significant to accurately evaluate the relative permeability of oil–water two phase for multiphase seepage in porous media in low permeability and tight oil reservoir. However, stress sensitivity is an important characteristic for low permeability and tight oil reservoir. It is an effective way for fractal theory to describe the complexity and heterogeneity of the microstructure of porous media. To describe the relative permeability of oil–water two phase in porous media with complex and irregularity pores, a new relative permeability model oil–water two phases is proposed by the fractal theory and the stress sensitivity is taken into the established model in this paper. Meanwhile, the effects of effective stress, elastic modulus, porosity, maximum and minimum flow radius on oil–water relative permeability are analyzed. The new model is verified by comparing with the laboratory data and the results demonstrate that irreducible water and residual oil saturation have a negative correlation with effective stress. The relative permeability of the oil–water two-phase will shrink to the middle as the rise of effective stress, and the region of co-infiltration will decrease. The deformation quantity of porous media, irreducible water and residual oil saturation will increase as the elastic modulus decreases. The larger the maximum flow radius is, the lower the irreducible water saturation and residual oil saturation is. Both the porosity and the minimum flow radius have slight influences on the relative permeability of oil–water two-phase. The proposed relative permeability model can effectively predict the relative permeability of oil and water and help to describe and reveal the multiphase flow in porous media.
Xu W, Luo J, Fu B, Fu Z, Wang K, Su C, Huang Q, HUANG R. A Novel Small-Signal Ferroelectric Memcapacitor based Capacitive Computing-In-Memory for Area-and Energy-Efficient Quantized Neural Networks. 2024 8th IEEE Electron Devices Technology & Manufacturing Conference (EDTM). 2024:1-3.
Xu W, Luo J, Fu B, Fu Z, Wang K, Su C, Huang Q, HUANG R. A Novel Small-Signal Ferroelectric Memcapacitor based Capacitive Computing-In-Memory for Area-and Energy-Efficient Quantized Neural Networks. 2024 8th IEEE Electron Devices Technology & Manufacturing Conference (EDTM). 2024:1-3.
Xu S, Luo T, Luo J, HUANG R, Huang Q. A Novel Ternary Transistor with Nested Source Design Incorporating Hybrid Switching Mechanism for Low-Power and High-Performance Applications. 2024 IEEE Silicon Nanoelectronics Workshop (SNW). 2024:69-70.
Xu S, Luo T, Luo J, HUANG R, Huang Q. A Novel Ternary Transistor with Nested Source Design Incorporating Hybrid Switching Mechanism for Low-Power and High-Performance Applications. 2024 IEEE Silicon Nanoelectronics Workshop (SNW). 2024:69-70.
Zhang L, Hu L, Wu H. Numerical assessment of equivalent hydraulic conductivity and electro-osmotic conductivity for electro-osmotic consolidation under two-dimensional plane-strain analysis. Acta Geotechnica [Internet]. 2024;19:4967–4977. 访问链接

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