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Zhang, Fan

Publications and source records attributed to Zhang, Fan.

At least 91 records · Page 5
All sourcesNASA NTRSDOE OSTI
DOE OSTI2020

A new approach of reduction of carbon dioxide emission and optimal use of carbon and hydrogen content for the desired syngas production from coal

We report this research is designed to make progress in overcoming the challenges through the development of a two-stage coal processing. Specifically, a two-stage process was used to maximize the use of the carbon in coal or increase the carbon monoxide yield or lower carbon dioxide and methane yields. Carbon dioxide-char gasification in the absence of water can generate carbon monoxide with near-zero methane, which is desired to produce high-carbon and low-hydrogen chemicals such as oxalic acid through catalytic carbon monoxide coupling and hydrolysis. The technology is applicable to any coal, although Power River Basin (PRB) coal is used as an example feedstock in this research Also, the sodium-iron catalyst can accelerate not only the reaction kinetics in both stages but also increase the hydrogen/carbon monoxide ratio in the syngas produced in the second stage. In other words, the catalyst is a multifunctional agent, which can not only intensify the overall coal process efficiency but also improve the qualities of the desired syngas products and reduce carbon dioxide emission. Thus, In the 1st stage, the catalysts can significantly reduce the CO 2 -char gasification by as high as 75.00%. In the 2nd stage, the H 2 /CO ratio of ideal syngas is ~2:1 with near-0 CH 4 generation and the CH4 production can be reduced as high as 61.29% for the CO 2 –H 2 O-Char coal gasification. The activation energy for the 2nd stage is reduced by as high as 35.43% than that of raw coal without use Na–Fe catalyst. The overall carbon footprint reduction for the study is reduced by 87.33% in the 1st stage and 96.77% compared to the direct coal combustion.

01 COAL, LIGNITE, AND PEAT↗
DOE OSTI2020

Novel Fault Location Method for Power Systems Based on Attention Mechanism and Double Structure GRU Neural Network

Fault location is one of the most essential techniques to maintain the stable operation of power systems. A fast and accurate fault location allows operators to restore power grids faster and avoid economic losses. Conventional methods rely on expert knowledge to extract the necessary features (e.g. DWT, DFT). For large systems, more coupling effects of transmission lines require more complex feature engineering, and incomplete features can easily introduce large errors. To overcome this, a deep learning approach without manual feature extraction is introduced to the fault location model under big data application. Towards this end, in the proposed method, the attention mechanism, the Bi-GRU and a dual structure network are applied to analyze the current data from different perspectives. Complete information for the fault features is extracted for the fault location. Based on a time series model and benefit from the ability to internally acquire the information architecture of faulty line, the established model is adaptive to the power grids with very complex topologies. Simulation results indicate that the proposed double-structure model reduces the maximum error and is less affected by noise. In comparison with different structures and different models, the proposed method shows better performance in IEEE 39-bus system.

42 ENGINEERING↗
DOE OSTI2020

Comparative Studies of Optoelectrical Properties of Prominent PV Materials: Halide Perovskite, CdTe, and GaAs

We compare three representative high performance PV materials: halide perovskite MAPbI3, CdTe, and GaAs, in terms of photoluminescence (PL) efficiency, PL lineshape, carrier diffusion, and surface recombination and passivation, over multiple orders of photo-excitation density or carrier density appropriate for different applications. An analytic model is used to describe the excitation density dependence of PL intensity and extract the internal PL efficiency and multiple pertinent recombination parameters. A PL imaging technique is used to obtain carrier diffusion length without using a PL quencher, thus, free of unintended influence beyond pure diffusion. Our results show that perovskite samples tend to exhibit lower Shockley-Read-Hall (SRH) recombination rate in both bulk and surface, thus higher PL efficiency than the inorganic counterparts, particularly under low excitation density, even with no or preliminary surface passivation. PL lineshape and diffusion analysis indicate that there is considerable structural disordering in the perovskite materials, and thus photo-generated carriers are not in global thermal equilibrium, which in turn suppresses the nonradiative recombination. This study suggests that relatively low point-defect density, less detrimental surface recombination, and moderate structural disordering contribute to the high PV efficiency in the perovskite. This comparative photovoltaics study provides more insights into the fundamental material science and the search for optimal device designs by learning from different technologies.

14 SOLAR ENERGY↗
DOE OSTI2020

Pressure-Thresholded Response in Cylindrically Shocked Cyclotrimethylene Trinitramine (RDX)

We demonstrate a strongly thresholded response in cyclotrimethylene trinitramine (RDX) when it is cylindrically shocked using a novel waveguide geometry. Using ultrafast single-shot multi-frame imaging, we demonstrate that <100 μm diameter single crystals of RDX embedded in a polymer host deform along preferential planes for >100 ns after the shock first arrives in the crystal. We use in situ imaging and time-resolved photoemission to demonstrate that short-lived chemistry occurs with complex deformation pathways. Using scanning electron microscopy and ultra-small-angle X-ray scattering, we demonstrate that the shock-induced dynamics leave behind porous crystals, with pore shapes and sizes that change significantly with shock pressure. A threshold pressure of ~12 GPa at the center of convergence separated the single-mode planar crystal deformations from the chemistry-coupled multi-plane dynamics at higher pressures. Our observations indicate preferential directions for deformation in our cylindrically shocked system, despite the applied stress along many different crystallographic planes.

37 INORGANIC, ORGANIC, PHYSICAL, AND ANALYTICAL CH↗
DOE OSTI2019

Correlated insulating and superconducting states in twisted bilayer graphene below the magic angle

The emergence of flat bands and correlated behaviors in “magic angle” twisted bilayer graphene (tBLG) has sparked tremendous interest, though its many aspects are under intense debate. Here we report observation of both superconductivity and the Mott-like insulating state in a tBLG device with a twist angle of ~0.93°, which is smaller than the magic angle by 15%. At an electron concentration of ±5 electrons/moiré unit cell, we observe a narrow resistance peak with an activation energy gap ~0.1 meV. This indicates additional correlated insulating state, and is consistent with theory predicting a high-energy flat band. At doping of ±12 electrons/moiré unit cell we observe resistance peaks arising from the Dirac points in the spectrum. Our results reveal that the “magic” range of tBLG is in fact larger than what is previously expected, and provide a wealth of new information to help decipher the strongly correlated phenomena observed in tBLG.

36 MATERIALS SCIENCE↗
DOE OSTI2019

Bamboo–Like Nitrogen–Doped Carbon Nanotube Forests as Durable Metal–Free Catalysts for Self–Powered Flexible Li–CO 2 Batteries

The Li-CO 2 battery is a promising energy storage device for wearable electronics due to its long discharge plateau, high energy density, and environmental friendliness. Furthermore, its utilization is largely hindered by poor cyclability and mechanical rigidity due to the lack of a flexible and durable catalyst electrode. Herein, flexible fiber-shaped Li-CO 2 batteries with ultralong cycle-life, high rate capability, and large specific capacity are fabricated, employing bamboo-like N-doped carbon nanotube fiber (B-NCNT) as flexible, durable metal-free catalysts for both CO 2 reduction and evolution reactions. Benefiting from high N-doping with abundant pyridinic groups, rich defects, and active sites of the periodic bamboo-like nodes, the fabricated Li-CO 2 battery shows outstanding electrochemical performance with high full-discharge capacity of 23328 mAh g -1 , high rate capability with a low potential gap up to 1.96 V at a current density of 1000 mA g -1 , stability over 360 cycles, and good flexibility. Meanwhile, the bifunctional B-NCNT is used as the counter electrode for a fiber-shaped dye-sensitized solar cell to fabricate a self-powered fiber-shaped Li-CO 2 battery with overall photochemical-electric energy conversion efficiency of up to 4.6%. Along with a stable voltage output, this design demonstrates great adaptability and application potentiality in wearable electronics with a breath monitor as an example.

25 ENERGY STORAGE↗
DOE OSTI2019

Quantum parity Hall effect in Bernal-stacked trilayer graphene

The quantum Hall effect has recently been generalized from transport of conserved charges to include transport of other approximately conserved-state variables, including spin and valley, via spin- or valley-polarized boundary states with different chiralities. In this paper, we report a class of quantum Hall effect in Bernal- or ABA-stacked trilayer graphene (TLG), the quantum parity Hall (QPH) effect, in which boundary channels are distinguished by even or odd parity under the system’s mirror reflection symmetry. At the charge neutrality point, the longitudinal conductance σ x x is first quantized to 4 e 2 / h at a small perpendicular magnetic field B ⊥ , establishing the presence of four edge channels. As B ⊥ increases, σ x x first decreases to 2 e 2 / h , indicating spin-polarized counterpropagating edge states, and then, to approximately zero. These behaviors arise from level crossings between even- and odd-parity bulk Landau levels driven by exchange interactions with the underlying Fermi sea, which favor an ordinary insulator ground state in the strong B ⊥ limit and a spin-polarized state at intermediate fields. The transitions between spin-polarized and -unpolarized states can be tuned by varying Zeeman energy. Our findings demonstrate a topological phase that is protected by a gate-controllable symmetry and sensitive to Coulomb interactions.

2D materials↗
DOE OSTI2019

Recent Third Pole's rapid warming accompanies cryospheric melt and water cycle intensification and interactions between monsoon and environment: Multidisciplinary approach with observation, modeling and analysis

The Third Pole (TP) is experiencing rapid warming and is currently in its warmest period in the past 2000 years. This paper reviews the latest development in multi-disciplinary TP research associated with this warming. The rapid warming facilitates intense and broad glacier melt over most of TP, although some glaciers in the northwest are advancing. By heating the atmosphere and reducing snow/ice albedo, aerosols also contribute to the glaciers melting. Glacier melt is accompanied by lake expansion and intensification of the water cycle over the TP. Precipitation has increased over the eastern and northwestern TP. Meanwhile, the TP is greening and most regions are experiencing advancing phenological trends although over the southwest there is a spring phenological delay mainly in response to the recent decline in spring precipitation. Atmospheric and terrestrial thermal and dynamical processes over the TP affect the Asian monsoon at different scales. Recent evidence indicates substantial roles that Meso-scale Convective Systems play in TP's precipitation as well as an association between soil moisture anomalies in TP and the Indian monsoon. Moreover, an increase in geo-hazard events has been associated with recent environmental changes, some of which have had catastrophic consequences caused by glacial lake outbursts and landslides. Active debris flows are growing in both frequency of occurrences and spatial scale. Meanwhile, new types of disasters, such as the twin ice avalanches in Ali in 2016, are now appearing in the region. Adaptation and mitigation measures should be taken to help societies' preparation for future environmental challenges. Some key issues for future TP studies are also discussed.

Third Pole's rapid warming, cryospheric melt↗
DOE OSTI2018

Rnf112 deletion protects brain against intracerebral hemorrhage (ICH) in mice by inhibiting TLR-4/NF-κB pathway

Highlights: • Rnf112{sup −/−} mice exhibits accelerated brain injury and neuroinflammation. • Rnf112{sup −/−} promotes inflammation by enhancing TLR-4/NF-κB pathway. • Over-expressing Rnf112 attenuates brain injury after intracerebral hemorrhage. Intracerebral hemorrhage (ICH) is reported as a common and often fatal type of stroke accompanied with high morbidity and mortality, and it frequently results in long-lasting neurological dysfunctions. However, the pathogenesis that contributes to ICH has not been fully understood. Rnf112, also known as Znf179, is a member of the RING finger protein family. The expression of Rnf112 is abundant in the brain and is modulated during brain progression and development. The study aimed to explore the role of Rnf112 in brain injury after ICH, as well as the underlying molecular mechanisms. The results indicated that ICH led to a significant decrease in Rnf112, which was confirmed in oxyhemoglobin (oxyHb)-incubated astrocytes and microglial cells. Moreover, the Rnf112 knockout (Rnf112{sup −/−}) mice and wild type (WT) mice induced by ICH were further employed. Compared to the WT/ICH group, Rnf112{sup −/−} mice exhibited accelerated brain injury, as evidenced by the increased brain water contents and neurological deficit scores (NDS). In comparison to WT/ICH group, a remarkable up-regulation in the release of pro-inflammatory cytokines, including tumor necrotic factor-α (TNF-α), interleukin-6 (IL-6), and IL-1β, was observed in perihematoma tissues of Rnf112{sup −/−} mice on day 3 post-ICH. The process was along with promoted glial fibrillary acidic protein (GFAP) and Iba1 expression and reduced NeuN levels. Furthermore, ICH-induced increases in toll-like receptor (TLR)-4 and myeloid differentiation primary response protein (MyD88) expression were exacerbated by the loss of Rnf112. The phosphorylated expression of IKKα, inhibitor of NF-κB (IκBα) and nuclear factor-kappa B (NF-κB) induced by ICH in perihematoma tissues of mice was markedly enhanced in Rnf112{sup −/−} mice. Rnf112 repression-induced inflammatory response was verified in lipopolysaccharide (LPS)-incubated glial cells. In contrast, over-expressing Rnf112 markedly attenuated ICH-induced brain injury by restraining inflammation via inactivating TLR-4/NF-κB pathway. In summary, our findings suggested that Rnf112 expression was highly involved in the progression of ICH, and targeting Rnf112 signaling might be a promising therapeutic strategy against ICH development.

60 APPLIED LIFE SCIENCES↗
DOE OSTI2018

Freestanding 3D Mesostructures, Functional Devices, and Shape-Programmable Systems Based on Mechanically Induced Assembly with Shape Memory Polymers

Capabilities for controlled formation of sophisticated 3D micro/nanostructures in advanced materials have foundational implications across a broad range of fields. Recently developed methods use stress release in prestrained elastomeric substrates as a driving force for assembling 3D structures and functional microdevices from 2D precursors. A limitation of this approach is that releasing these structures from their substrate returns them to their original 2D layouts due to the elastic recovery of the constituent materials. Here, a concept in which shape memory polymers serve as a means to achieve freestanding 3D architectures from the same basic approach is introduced, with demonstrated ability to realize lateral dimensions, characteristic feature sizes, and thicknesses as small as ≈500, 10, and 5 µm simultaneously, and the potential to scale to much larger or smaller dimensions. Wireless electronic devices illustrate the capacity to integrate other materials and functional components into these 3D frameworks. Quantitative mechanics modeling and experimental measurements illustrate not only shape fixation but also capabilities that allow for structure recovery and shape programmability, as a form of 4D structural control. These ideas provide opportunities in fields ranging from micro-electromechanical systems and microrobotics, to smart intravascular stents, tissue scaffolds, and others.

36 MATERIALS SCIENCE↗