Ex situ poly-DOL coatings for lithium metal protection
Schematic illustration of the poly-DOL coating layer developed through an ex situ method to improve lithium metal cycling performance in ether and carbonate electrolytes.
Zhao, Yifan↗
Engineering topics
Zhao, Yifan
Publications and source records attributed to Zhao, Yifan.
Land Resources for Wind Energy Development Requires Regionalized Characterizations
Estimates of the land area occupied by wind energy differ by orders of magnitude due to data scarcity and inconsistent methodology. Here, we developed a method that combines machine learning-based imagery analysis and geographic information systems and examined the land area of 318 wind farms (15,871 turbines) in the U.S. portion of the Western Interconnection. We found that prior land use and human modification in the project area are critical for land-use efficiency and land transformation of wind projects. Projects developed in areas with little human modification have a land-use efficiency of 63.8 ± 8.9 W/m 2 (mean ±95% confidence interval) and a land transformation of 0.24 ± 0.07 m 2 /MWh, while values for projects in areas with high human modification are 447 ± 49.4 W/m 2 and 0.05 ± 0.01 m 2 /MWh, respectively. We show that land resources for wind can be quantified consistently with our replicable method, a method that obviates >99% of the workload using machine learning. To quantify the peripheral impact of a turbine, buffered geometry can be used as a proxy for measuring land resources and metrics when a large enough impact radius is assumed (e.g., >4 times the rotor diameter). Our analysis provides a necessary first step toward regionalized impact assessment and improved comparisons of energy alternatives.
17 WIND ENERGY↗
Universal Polarization Transformations: Spatial Programming of Polarization Scattering Matrices Using a Deep Learning‐Designed Diffractive Polarization Transformer
Abstract Controlled synthesis of optical fields having nonuniform polarization distributions presents a challenging task. Here, a universal polarization transformer is demonstrated that can synthesize a large set of arbitrarily‐selected, complex‐valued polarization scattering matrices between the polarization states at different positions within its input and output field‐of‐views (FOVs). This framework comprises 2D arrays of linear polarizers positioned between isotropic diffractive layers, each containing tens of thousands of diffractive features with optimizable transmission coefficients. After its deep learning‐based training, this diffractive polarization transformer can successfully implement N i N o = 10 000 different spatially‐encoded polarization scattering matrices with negligible error, where N i and N o represent the number of pixels in the input and output FOVs, respectively. This universal polarization transformation framework is experimentally validated in the terahertz spectrum by fabricating wire‐grid polarizers and integrating them with 3D‐printed diffractive layers to form a physical polarization transformer. Through this set‐up, an all‐optical polarization permutation operation of spatially‐varying polarization fields is demonstrated, and distinct spatially‐encoded polarization scattering matrices are simultaneously implemented between the input and output FOVs of a compact diffractive processor. This framework opens up new avenues for developing novel devices for universal polarization control and may find applications in, e.g., remote sensing, medical imaging, security, material inspection, and machine vision.
Optical neural networks↗
Super-resolution image display using diffractive decoders
High-resolution image projection over a large field of view (FOV) is hindered by the restricted space-bandwidth product (SBP) of wavefront modulators. We report a deep learning–enabled diffractive display based on a jointly trained pair of an electronic encoder and a diffractive decoder to synthesize/project super-resolved images using low-resolution wavefront modulators. The digital encoder rapidly preprocesses the high-resolution images so that their spatial information is encoded into low-resolution patterns, projected via a low SBP wavefront modulator. The diffractive decoder processes these low-resolution patterns using transmissive layers structured using deep learning to all-optically synthesize/project super-resolved images at its output FOV. This diffractive image display can achieve a super-resolution factor of ~4, increasing the SBP by ~16-fold. We experimentally validate its success using 3D-printed diffractive decoders that operate at the terahertz spectrum. This diffractive image decoder can be scaled to operate at visible wavelengths and used to design large SBP displays that are compact, low power, and computationally efficient.
36 MATERIALS SCIENCE↗
To image, or not to image: class-specific diffractive cameras with all-optical erasure of undesired objects
Abstract Privacy protection is a growing concern in the digital era, with machine vision techniques widely used throughout public and private settings. Existing methods address this growing problem by, e.g., encrypting camera images or obscuring/blurring the imaged information through digital algorithms. Here, we demonstrate a camera design that performs class-specific imaging of target objects with instantaneous all-optical erasure of other classes of objects. This diffractive camera consists of transmissive surfaces structured using deep learning to perform selective imaging of target classes of objects positioned at its input field-of-view. After their fabrication, the thin diffractive layers collectively perform optical mode filtering to accurately form images of the objects that belong to a target data class or group of classes, while instantaneously erasing objects of the other data classes at the output field-of-view. Using the same framework, we also demonstrate the design of class-specific permutation and class-specific linear transformation cameras, where the objects of a target data class are pixel-wise permuted or linearly transformed following an arbitrarily selected transformation matrix for all-optical class-specific encryption, while the other classes of objects are irreversibly erased from the output image. The success of class-specific diffractive cameras was experimentally demonstrated using terahertz (THz) waves and 3D-printed diffractive layers that selectively imaged only one class of the MNIST handwritten digit dataset, all-optically erasing the other handwritten digits. This diffractive camera design can be scaled to different parts of the electromagnetic spectrum, including, e.g., the visible and infrared wavelengths, to provide transformative opportunities for privacy-preserving digital cameras and task-specific data-efficient imaging.
47 OTHER INSTRUMENTATION↗
Performance Leap of Lithium Metal Batteries in LiPF 6 Carbonate Electrolyte by a Phosphorus Pentoxide Acid Scavenger
Phosphorus pentoxide (P 2 O 5 ) is investigated as an acid scavenger to remove the acidic impurities in a commercial lithium hexafluorophosphate (LiPF 6 ) carbonate electrolyte to improve the electrochemical properties of Li metal batteries. Nuclear magnetic resonance (NMR) measurements reveal the detailed reaction mechanisms of P 2 O 5 with the LiPF 6 electrolyte and its impurities, which removes hydrogen fluoride (HF) and difluor-ophosphoric acid (HPO 2 F 2 ) and produces phosphorus oxyfluoride (POF 3 ), OF 2 P-O-PF 5 - anions, and ethyl difluorophosphate (C 2 H 5 OPOF 2 ) as new electrolyte species. The P 2 O 5 -modified LiPF 6 electrolyte is chemically compatible with a Li metal anode and LiNi 0.6 Mn 0.2 Co 0.2 O 2 (NMC622) cathode, generating a PO x F y -rich solid electrolyte interphase (SEI) that leads to highly reversible Li electrodeposition, while eliminating transition metal dissolution and cathode particle cracking. The excellent electrochemical properties of the P 2 O 5 -modified LiPF6 electrolytes are demonstrated on Li||NMC622 pouch cells with 0.4 Ah capacity, 50 mu m Li anode, 3 mAh cm -2 NMC622 cathode, and 3 g Ah -1 electrolyte/capacity ratio. The pouch cells can be galvanostatically cycled at C/3 for 230 cycles with 87.7% retention.
25 ENERGY STORAGE↗
Bias-free terahertz generation from a silicon-compatible photoconductive emitter operating at telecommunication wavelengths
Here, we present a telecommunication-compatible bias-free photoconductive terahertz emitter composed of a bilayer InAs structure directly grown on a high-resistivity silicon substrate. The bilayer InAs structure includes p + -doped and undoped InAs layers, inducing a strong built-in electric field that enables terahertz generation without requiring any external bias voltage. A large-area plasmonic nanoantenna array is used to enhance and confine optical generation inside the photoconductive region with the highest built-in electric field, leading to the generation of a strong ultrafast photocurrent and broadband terahertz radiation. Thanks to a higher terahertz transmission through the silicon substrate and a shorter carrier lifetime in the InAs layers grown on silicon, higher signal-to-noise ratios are achieved at high terahertz frequencies compared with previously demonstrated bias-free terahertz emitters realized on GaAs. In addition to compatibility with silicon integrated optoelectronic platforms, the presented bias-free photoconductive emitter provides more than a 6 THz radiation bandwidth with more than 100 dB dynamic range when used in a terahertz time-domain spectroscopy system.
42 ENGINEERING↗
Enabling Magnesium Anodes by Tuning the Electrode/Electrolyte Interfacial Structure
Here, a new deposition mechanism is presented in this study to achieve highly reversible plating and stripping of magnesium (Mg) anodes for Mg-ion batteries. It is known that the reduction of electrolyte anions such as bi s (trifluoromethanesulfonyl) imide (TFSI - ) causes Mg surface passivation, resulting in poor electrochemical performance for Mg-ion batteries. We reveal that the addition of sodium cations (Na + ) in Mg-ion electrolytes can fundamentally alter the interfacial chemistry and structure at the Mg anode surface. The molecular dynamics simulation suggests that Na + cations contribute to a significant population in the interfacial double layer so that TFSI - anions are excluded from the immediate interface adjacent to the Mg anode. As a result, the TFSI - decomposition is largely suppressed so does the formation of passivation layers at the Mg surface. This mechanism is supported by our electrochemical, microscopic, and spectroscopic analyses. The resultant Mg deposition demonstrates smooth surface morphology and lowered overpotential compared to the pure Mg(TFSI) 2 electrolyte.
25 ENERGY STORAGE↗
Regulating lithium deposition via electropolymerization of acrylonitrile in rechargeable lithium metal batteries
Here, we report acrylonitrile (AN) as an effective additive in carbonate-based electrolytes to enable uniform and dense lithium (Li) deposition and to improve the coulombic efficiency of Li metal anode. Our electrochemical, spectroscopic, and theoretical study reveal that AN is cathodically electropolymerized on the Li surface prior to the electrochemical decomposition of the electrolyte during Li deposition. The resultant polyacrylonitrile artificial solid electrolyte interphase enables uniform nucleation and growth of Li deposition with significantly reduced side reactions. The effectiveness of the AN additive is demonstrated in 0.4 Ah Li||LiNi 0.6 Mn 0.2 Co 0.2 O 2 pouch cells (using 50-μm Li anode, 3 mAh cm -2 cathode areal capacity, and 4g Ah -1 electrolyte) with excellent cycle stability under realistic charge-discharge condition
25 ENERGY STORAGE↗
Environmentally significant shifts in trace element emissions from coal plants complying with the 1990 Clean Air Act Amendments
The Clean Air Act Amendments of 1990 (CAAAs) reduced criteria air pollution from coal-fired power plants (CFPPs) in the United States, but compliance strategies additionally altered the magnitude and phase of environmentally significant trace element emissions. This report quantitatively assesses changes in trace element emissions stemming from CAAAs compliance, attributes these changes to specific CAAAs compliance strategies, and discusses implications for future environmental regulatory design. We combine plant-level coal purchase and installed air pollution control device data with a trace element partitioning model to approximate changes in trace element mass entering and exiting CFPPs in the solid, liquid, and gas phase between 1993 and 2017. Though US coal combustion decreased by 2% during this period, the vast majority of trace element emissions reductions stem from the 18-64% reductions in the fleet-wide average concentrations of arsenic, bromine, chloride, lead, mercury, and selenium in the combusted coal. Combined with the installation of air pollution control technologies, these shifts concluded in nationwide reductions of gas phase trace element emissions by between 49 and 68% for the elements included in this study. In contrast, installation of flue gas desulfurization devices increased the mass of trace elements discharged in wastewater. This work reinforces the value of multi-phase emissions regulations in ensuring that contaminants are not shunted from regulated to unregulated phases.
29 ENERGY PLANNING, POLICY, AND ECONOMY↗
Quantifying Historic Shifts in Trace Element Emissions from Coal-Fired Power Plants
Presented by NETL at AICHE Annual Meeting 10/18
Gingerich, Daniel B↗
K-ras mutation promotes ionizing radiation-induced invasion and migration of lung cancer in part via the Cathepsin L/CUX1 pathway
Highlights: • CTSL has important roles in the regulation of invasion and migration in NSCLC and is promoted by mutated K-ras. • Mutated K-ras and IR-induced CTSL play crucial roles in the EMT in the lung cancer. • The regulatory effects of CTSL on the EMT are attributed to proteolytic processing of the transcription factor CUX1. • Inhibition of CTSL or CUX1 may be a promising therapeutic target. • CTSL is a promising therapeutic target to overcome the invasion and migration induced by IR. K-ras mutation is involved in cancer progression including invasion and migration, but the underlying mechanism is not yet clear. Cathepsin L is a lysosomal cysteine protease and has recently been associated with invasion and migration in human cancers when it is overexpressed. Our recent studies have shown that ionizing radiation (IR) enhanced expression of cathepsin L and increased invasion and migration of tumor cells, but the molecular mechanism is still unclear. In the present study, the effects of K-ras mutation and IR induced invasion and migration of lung cancer as well as the underlying mechanisms were investigated both in vitro and in vivo. Firstly, the levels of cathepsin L and epithelial mesenchymal transition (EMT) marker proteins remarkably changed in A549 (K-ras mutant) after irradiation compared with H1299 (K-ras wild), thereby promoting invasion and migration. Additionally, cathepsin L and its downstream transcription factor CUX1/p110 were increased after irradiation in A549 transfected with CUX1/p200, and the proteolytic processing of CUX1 by cathepsin L was remarkably increased after co-transfection of CUX1/p200 and cathepsin L-lentivirus in H1299. In addition, delivery of a mutant K-ras (V12) into HEK 293 cells stimulated EMT after irradiation due to the accumulation of cathepsin L. Moreover, mutated K-ras was associated with IR-induced cathepsin L and EMT in BALB/c nude mice. Finally, the level of cathepsin L expression was higher in samples carrying a K-ras mutation than in wild-type K-ras samples and the mesenchymal markers were upregulated in the samples of mutant K-ras, whereas the epithelial marker E-cadherin was downregulated in non-small cell lung cancers tissues. In conclusion, the findings demonstrated that mutated K-ras promotes cathepsin L expression and plays a pivotal role in EMT of human lung cancer. The regulatory effect of IR-induced cathepsin L on lung cancer invasion and migration was partially attributed to the Cathepsin L /CUX1-mediated EMT signaling pathway. This study will provide cathepsin L as a potential target for tumor therapy.
60 APPLIED LIFE SCIENCES↗
Polycation Binders: An Effective Approach toward Lithium Polysulfide Sequestration in Li–S Batteries
Lithium polysulfide sequestration by polymeric binders in lithium-sulfur battery cathodes is investigated in this study. We prove polycations can effectively adsorb lithium polysulfides via Coulombic attraction between the positively charged backbone and the polysulfide anions. For the first time, we measure the simultaneous mass change of the sulfur cathodes with poly(diallyldimethylammonium triflate) (PDAT) and polyvinylpyrrolidone (PVP) binders during Iithiation-delithiation using electrochemical quartz crystal microbalance (EQCM). The EQCM results demonstrate significantly higher mass gain with PDAT binder under identical conditions, providing direct evidence that PDAT is a superior binder. The advantage of polycation binders is also proved by charge-discharge cycling combined with ultraviolet-visible spectroscopy and X-ray photoelectron spectroscopy. As a result, with the PDAT binder and minimized electrolyte/sulfur weight ratio, we further demonstrate electrodes with high sulfur loading achieving 4.2 mAh cm -2 areal capacity.
25 ENERGY STORAGE↗
Cadmium modulates hematopoietic stem and progenitor cells and skews toward myelopoiesis in mice
The heavy metal cadmium (Cd) is known to modulate immunity and cause osteoporosis. However, how Cd influences on hematopoiesis remain largely unknown. Herein, we show that wild-type C57BL/6 (B6) mice exposed to Cd for 3 months had expanded bone marrow (BM) populations of long-term hematopoietic stem cells (LT-HSCs), common myeloid progenitors (CMPs) and granulocyte-macrophage progenitors (GMPs), while having reduced populations of multipotent progenitors (MPPs) and common lymphoid progenitors (CLPs). A competitive mixed BM transplantation assay indicates that BM from Cd-treated mice had impaired LT-HSC ability to differentiate into mature cells. In accordance with increased myeloid progenitors and decreased lymphoid progenitors, the BM and spleens of Cd-treated mice had more monocytes and/or neutrophils and fewer B cells and T cells. Cd impaired the ability of the non-hematopoietic system to support LT-HSCs, in that lethally irradiated Cd-treated recipients transplanted with normal BM cells had reduced LT-HSCs after the hematopoietic system was fully reconstituted. This is consistent with reduced osteoblasts, a known critical component for HSC niche, observed in Cd-treated mice. Conversely, lethally irradiated control recipients transplanted with BM cells from Cd-treated mice had normal LT-HSC reconstitution. Furthermore, both control mice and Cd-treated mice that received Alendronate, a clinical drug used for treating osteoporosis, had BM increases of LT-HSCs. Thus, the results suggest Cd increase of LT-HSCs is due to effects on HSCs and not on osteoblasts, although, Cd causes osteoblast reduction and impaired niche function for maintaining HSCs. Furthermore, Cd skews HSCs toward myelopoiesis. - Highlights: • Cd increases the number of LT-HSCs but impairs their development. • Cd-treated hosts have compromised ability to support LT-HSCs. • Cd promotes myelopoiesis at the expense of lymphopoiesis at the MPP level.
60 APPLIED LIFE SCIENCES↗