Polyampholyte gels,which have hierarchical structures,exhibit excellent self-healing properties and have great promise for biomaterials and *** investigated the relationship between microscopic structures and macrosco...
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Polyampholyte gels,which have hierarchical structures,exhibit excellent self-healing properties and have great promise for biomaterials and *** investigated the relationship between microscopic structures and macroscopic viscoelastic properties of polyampholyte gels and found three factors influencing their viscoelastic properties,including the chemical crosslinking bonds,topological entanglements controlled by monomer concentration,and the ionic *** strength plays a majorrole on the strength of ionic bonds.A crossover point of elastic modulus and loss modulus was observed in the dynamic frequency sweeps at low monomer concentration or low chemical crosslinking density for gels with intermediate strength of ionic *** solid-liquid transition signaled by the crossover point is a typical feature of dynamic associated gels,representing the dynamical association-dissociation of the ionic bonds and full relaxation of the topological entanglements in the gel *** the crossover point disappears when the ionic bonds are too weak or too strong to form“permanent”***,in the non-linear yielding measurement,gels with intermediate strength of the ionic bonds are ductile and yield at very large shear strain due to the self-healing properties and the dynamic association-dissociation of the ionic *** the self-healing properties disappear when the ionic bond strength is too weak or too *** work reveals the mechanism of how the dynamic association-dissociation of ionic bonds influences both the linear and non-linear viscoelastic properties of the polyampholyte gels.
Microgrid is considered an important part of the future zero carbon energy ***,the uncertainty caused by renewable energy source brings huge challenges to the scheduling of MG andrestricts its ability of carbon emiss...
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Microgrid is considered an important part of the future zero carbon energy ***,the uncertainty caused by renewable energy source brings huge challenges to the scheduling of MG andrestricts its ability of carbon emission *** this paper,a novel improved multi-ellipsoidal uncertainty set modeling method is proposed to betterdepict the uncertainty of wind power andreduce the conservativeness of traditional robust *** information from historical data is utilized to capture the temporal correlation of forecast error of wind power,as well as the conditional correlation of forecast error with forecast value,making the uncertainty set more data-adaptive to variation of forecast results and more accurate for uncertainty description.A two-stage robust optimization model of a grid-connected microgrid is established based on the proposed uncertainty set and solved by column and constraint generation *** results based on actual data illustrate the average unbalanced power of microgrid between day-ahead trading andreal-time power exchange with utility grid is dropped by nearly 11.16%compared with a deterministic optimization method,11.86%with traditional box uncertainty set-basedrobust optimization method,and 2.89%with stochastic optimization method.
The reliable characterization of quantum states as well as any potential noise in various quantum systems is crucial for advancing quantum technologies. In this work we propose the concept of corrupted sensing quantum...
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The reliable characterization of quantum states as well as any potential noise in various quantum systems is crucial for advancing quantum technologies. In this work we propose the concept of corrupted sensing quantum state tomography which enables the simultaneous reconstruction of quantum states and structured noise with the aid of simple Pauli measurements only. Without additional prior information, we investigate the reliability androbustness of the framework. The power of our protocol is demonstrated by assuming sparse Gaussian and Poisson noise for low-rank state tomography. In particular, our approach is able to achieve a high quality of the recovery with incomplete sets of measurements and is also suitable for performance improvement of large quantum systems. It is envisaged that the techniques can become a practical tool to greatly reduce the cost and computational effort for quantum tomography in noisy quantum systems.
COMPUTATIONAL knowledge vision [1] is emphasized as a novel perspective or field in this paper. It first proposes the visual hierarchy and its connection to knowledge, stating that knowledge is a justified true belief...
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COMPUTATIONAL knowledge vision [1] is emphasized as a novel perspective or field in this paper. It first proposes the visual hierarchy and its connection to knowledge, stating that knowledge is a justified true belief. To further the previous research, we concisely summarize ourrecent works and suggest a new direction that knowledge is also a thought framework in vision.
As primary degradation products of phthalate esters,phthalate monoesters(MPEs)have been widely detected in various aquatic environments anddrawn growing toxicological *** kinetics that is of importance for assessing ...
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As primary degradation products of phthalate esters,phthalate monoesters(MPEs)have been widely detected in various aquatic environments anddrawn growing toxicological *** kinetics that is of importance for assessing environmental persistence of chemicals remain elusive for ***,kinetics of base-catalyzed and neutral hydrolysis for 18 MPEs with different leaving groups was investigated by density functional theory *** indicate that MPEs with leaving groups having p Kaof<10 preferdissociative transition *** are more persistent than their parents,and their hydrolysis half-lives were calculated to vary from 3.4 min to 79.2 years(p H=7–9).A quantitative structure-activity relationship model was developed for predicting the hydrolysis kinetics *** was found that p Kaof the leaving groups and electronegativity of the MPEs are key factors determining the hydrolysis *** work may lay a theoretical foundation for better understanding the chemical process that governs MPE persistence in aquatic environments.
作者:
Zhou, TongGuan, ZhiyaoCui, TianLi, daJilin Univ
Coll Phys State Key Lab Superhard Mat Minist Educ Changchun 130012 Peoples R China Jilin Univ
Coll Phys Key Lab Mat Simulat Methods & Software Minist Educ Changchun 130012 Peoples R China Ningbo Univ
Sch Phys Sci & Technol Ningbo 315211 Peoples R China
recently, a novel electride, BaCu, which contains no light elements, has been both predicted and synthesized. This material adds to the list of inorganic two-dimensional (2d) interlayer electrides, including Ca2N and ...
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recently, a novel electride, BaCu, which contains no light elements, has been both predicted and synthesized. This material adds to the list of inorganic two-dimensional (2d) interlayer electrides, including Ca2N and Y2C. However, the electride properties of the BaCu monolayer are not known, and its characteristics have not been thoroughly investigated. Here, our first-principles calculations indicated that the BaCu monolayer is a weak electride with few interstitial anionic electrons (IAEs). Notably, biaxial tensile strain can significantly alter the electronic properties of the BaCu monolayer, leading to the increase of IAEs. This strain causes a redistribution of charge from the Ba and Cu atoms to the IAEs. Additionally, the biaxial tensile strain induces superconductivity in the BaCu monolayer, and a notable increase in the critical superconducting transition temperature (Tc) to 0.2 K at 10% strain is observed. The coupling between the vibrations of the Cu atoms and IAEs plays a crucial role in this superconductivity. Our findings provide valuable insights into the relationship between the IAEs and superconductivity in the 2d electrides.
As a crucial component of aviation inertial navigation and guidance systems, the accelerometer provides essential information for navigation and guidance. However, due to uncertain factors such as geometric dimensions...
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As a crucial component of aviation inertial navigation and guidance systems, the accelerometer provides essential information for navigation and guidance. However, due to uncertain factors such as geometric dimensions, material properties, and assembly deviations, accelerometer performance may show significant uncertainty. In this paper, uncertainty propagation analysis for an aviation accelerometer is performed using an improved saddlepoint approximation method we develop. First, the working principle of the aviation accelerometer is analyzed and a finite-element model is built to estimate its deformation field. Second, capacitances of capacitive sensors in the accelerometer are calculated on basis of the deformation field, and the accelerometer bias is then modeled on basis of the capacitances. Third, a sparse grid integration approach is employed to compute the cumulative generating function (CGF) of the accelerometer bias. Finally, the saddlepoint approximation (SPA) method is used to restore the probability density function and cumulative distribution function of the accelerometer bias from its CGF. To increase the computational stability of SPA, we develop a trick by normalizing the performance function. Compared with the existing moment-based SPA method, which constructs the CGF through the first four moments, the proposed method computes the CGF directly, thus obtaining significantly higher accuracy.
As the improvement of district heating systems, the fine-tuning of operational equipment has become a promising direction. However, in the practical district heating systems, relying solely on manual control and the e...
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The lithium metal anode is hailed as the desired "holy grail" for the forthcoming generation of highenergy-density batteries,given its astounding theoretical capacity and low ***,the formation and growth of ...
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The lithium metal anode is hailed as the desired "holy grail" for the forthcoming generation of highenergy-density batteries,given its astounding theoretical capacity and low ***,the formation and growth of dendrites seriously compromise battery life and ***,an yttriastabilized bismuth oxide(YSB) layer is fabricated on the polypropylene(PP) separator,where YSB reacts with Li anode in-situ in the cell to form a multi-component composite interlayer consisting of Li_(3)Bi,Li_(2)O,and Y_(2)O_(3).The interlayer can function not only as a redistributor to regulate Li^(+) distribution but also as an anion adsorber to increase the Li^(+) transference number from 0.37 to 0.79 for suppressing dendrite nucleation and ***,compared with the cell with a baseline separator,those with modified separators exhibit prolonged lifespan in both Li/Li symmetrical cells and Li/Cu ***,the full cells coupled with ultrahigh-loading LiFePO_(4) display an excellent cycling performance of 1700 cycles with a high capacity retention of ~80% at 1 C,exhibiting great potential for practical *** work provides a feasible and effective new strategy for separator modification towards building a much-anticipateddendrite-free Li anode andrealizing long-lifespan lithium metal batteries.
1 Introduction Microbial infections represent significant global health challenges with far-reaching *** contemporary medical practice,quantitative polymerase chain reaction(qPCr)stands as an important technique for p...
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1 Introduction Microbial infections represent significant global health challenges with far-reaching *** contemporary medical practice,quantitative polymerase chain reaction(qPCr)stands as an important technique for pathogen detection,and the success of qPCr-baseddiagnosis fundamentally depends on the precision of the qPCr primers employed[1].However,to our knowledge,no easy-to-use qPCr primerdesign tool with flexible,customized options is *** most clinical contexts,detecting the presence of a pathogen within a given clinical sample is the primary ***,well-designed primers should achieve dual objectives:high sensitivity and specificity fordetecting target pathogens,while avoiding false positives,even when testing evolutionarily closely related ***,a constellation of software andprogram packages towards qPCr primerdesign is available(for example,ssPrimer).However,these tools typically operate on a single gene orregion,necessitating user-driven selection of the region or gene[2,3].In this context,we introduce the first one-step solution,to our knowledge,for scanning entire genomes to identify the best candidate primer *** addition,our framework allows users to efficiently search against a large number of genomes(over 1,800 genomes in our test case)to identify specific primers.
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