Redox targeting of energy materials

The redox-mediated electrochemical–chemical process, when it involves the redox-targeting reaction with energy materials, has shown intriguing potential for various energy-related applications. This review starts with a brief discussion on the evolution of redox-targeting reactions for high-energy redox-flow batteries and the critical future studies for large-scale energy storage. Then, with spatially decoupled water electrolysis as an example, the merits of redox-targeting reaction by liberating the catalyst from electrode surface are highlighted, followed by an introduction of redox targeting–based thermal-to-electrical conversion. We have also featured various redox-targeting processes in other fields of study, such as electrochromic window, redox catalysis, and spent battery material recycling. Overall, this review attempts to demonstrate the incredible versatility and prospects of redox-targeting process for energy-related applications.     

Effect of Interfacial Adsorption on the Stability of Thin Polymer Films in a Solvent-induced Process

The stability of ultrathin polymer films plays a crucial role in their technological applications. Here, we systematically investigated the influence of interfacial adsorption in physical aging and the stability of thin polymer films in the solvent-induced process. We further identify the stability mechanism from the theory of thin film stability. Our results show that the aging temperature and film thickness can strongly influence the stability of thin PS films in acetone vapor. Physical aging can greatly improve the stability of thin polymer films when the aging temperature T_(aging1)T_g. A thinner PS film more quickly reaches a stable state via physical aging. At short aging time, the formation of the adsorbed layer can reduce the polar interaction; however, it slightly influences the stability of thin polymer films in the solvent-induced process. At later aging stage,the conformational rearrangement of the polymer chains induced by the interfacial effect at the aging temperature T_(aging1) plays an important role in stabilizing the thin polymer films. However, at T_(aging2)T_g, the process of physical aging slightly influences the stability of the thin polymer films.The formation of the adsorbed layer at T_(aging2) can reduce the short-range polar interaction of the thin film system and cannot suppress the instability of thin polymer films in the solvent-induced process. These results provide further insight into the stable mechanism of thin polymer films in the solvent-induced process.     

碳辅助金属配合物热解法制备高含量Fe-N4单原子催化剂用于氧还原反应

单原子催化剂凭借其超高的原子利用率及在某些反应中表现出的出色催化效果,被认为是最有前途的电催化剂之一,引起了研究人员的极大热情和兴趣.制备高金属含量的单原子催化剂是基础研究和实际应用的前提和关键.然而,由于原子表面自由能随着尺寸的减小而急剧增加,在制备和催化过程中,单原子催化剂的金属原子很容易聚集成团簇甚至颗粒,因此如何制备高负载量的单原子催化剂仍然是一个不小的挑战.在众多单原子催化剂中,非贵金属中铁基单原子被认为是燃料电池中的Pt催化剂的有效替代品.在燃料电池的核心反应–电化学氧还原反应中,Fe-N_x被证明是铁单原子催化剂中的主要活性中心.因此,为了获得更好的氧还原性能,提高铁单原子催化剂中Fe-N_x的含量就显得非常关键.前期已报道了一些关于制备高Fe含量的铁单原子催化剂材料的策略,例如空间限域策略和配位合成策略.其中卟啉和葡萄糖作为配位剂,双氰胺和三聚氰胺可热解成氮掺杂碳材料以捕获金属原子,形成M-N_x.同时,具有高比表面积的富氧碳载体可以通过掺杂氮来作为固定金属原子的位点.我们开发了一种简单直接的方法,通过碳辅助金属配合物热解法制备高金属含量的Fe-N4单原子催化剂,即在最佳碳化温度800℃、三聚氰胺存在下对氮掺杂多孔碳辅助分散铁邻苯二胺配合物进行热解.在该方法中,氮掺杂多孔碳是一种具有丰富氮缺陷,高表面积(1267 m²?g^–1)和良好分散性的多孔生物质碳材料.邻苯二胺作为含两个氨基的二齿配体,可以很容易地与过渡金属配位,形成稳定的平面四配位络合物.此外,由于在高温条件下过渡金属的催化作用,邻苯二胺也被用作氮掺杂碳的前体.因此,氮掺杂多孔碳和邻苯二胺是合成高金属含量铁单原子催化剂的关键前驱体.通过X射线光电子能谱,大角度环形暗场扫描透射电子显微镜和X射线吸收精细结构光谱表征,发现所制备的铁单原子催化剂中铁原子以单个原子的形式锚固在碳载体上,并与碳基质的四个掺杂氮原子配位,得到Fe-N₄的构型.通过调节Fe前驱体量,铁单原子催化剂中Fe的最高负载量达到7.5 wt%,在目前已经报道的铁单原子催化剂中排第四.电化学氧还原测试表明,在0.10 M KOH溶液中,随着铁含量的增加,铁单原子催化剂的氧还原性能逐渐提高.其中250Fe-SA/NPC-800样品表现出最高起始电位0.97 V和最正的半波电位0.85 V,可与市售的40%Pt/C催化剂相媲美.和已报道的铁单原子催化剂相比,由于我们制得的催化剂的比表面积较低,只有247 m²?g^–1,所以制约了催化剂的性能.在混合动力学势域中,根据Koutecky-Levich方程计算得出的电子转移数约为3.6,表明250Fe-SA/NPC-800主要催化四电子转移过程,这可以归因于以Fe-N₄活性中心降低了四电子过程中关键中间体的形成能垒及过程的自由能变化.此外,250Fe-SA/NPC-800展现了较高的电化学稳定性.连续工作6 h后,250Fe-SA/NPC-800保留了超过87%的电流密度,而Pt/C表现出明显的衰减,仅保留了49%.     

Doubly stochastic Yule cascades (Part I): The explosion problem in the time-reversible case

Motivated by the probabilistic methods for nonlinear differential equations introduced by McKean (1975) for the Kolmogorov-Petrovski-Piskunov (KPP) equation, and by Le Jan and Sznitman (1997) for the incompressible Navier-Stokes equations (NSE), we identify a new class of stochastic cascade models, referred to as doubly stochastic Yule cascades. We establish non-explosion criteria under the assumption that the randomization of Yule intensities from generation to generation is by an ergodic time-reversible Markov process. In addition to the cascade models that arise in the analysis of certain deterministic nonlinear differential equations, this model includes the multiplicative branching random walks, the branching Markov processes, and the stochastic generalizations of the percolation and/or cell ageing models introduced by Aldous and Shields (1988) and independently by Athreya (1985).     

A real-time monitoring approach for bivariate event data

Early detection of changes in the frequency of events is an important task in many fields, such as disease surveillance, monitoring of high-quality processes, reliability monitoring, and public health. This article focuses on detecting changes in multivariate event data by monitoring the time-between-events (TBE). Existing multivariate TBE charts are limited because they only signal after an event occurred for each of the individual processes. This results in delays (i.e., long time-to-signal), especially when we are interested in detecting a change in one or a few processes with different rates. We propose a bivariate TBE chart, which can signal in real-time. We derive analytical expressions for the control limits and average time-to-signal performance, conduct a performance evaluation and compare our chart to an existing method. Our findings showed that our method is an effective approach for monitoring bivariate TBE data and has better detection ability than the existing method under transient shifts and is more generally applicable. A significant benefit of our method is that it signals in real-time and that the control limits are based on analytical expressions. The proposed method is implemented on two real-life datasets from reliability and health surveillance.     

Recent Results on Recurrent Solutions and Limit Distributions of SDEs

The limit distribution for homogeneous Markov processes is studied extensively and well understood, but it is not the case for inhomogeneous Markov processes. In this paper, we review some recent results on inhomogeneous Markov processes generated by non-autonomous stochastic (partial) differential equations (SDE in short). Under some suitable conditions, we show that the distribution of recurrent solutions of SDEs constitutes the limit distribution of the corresponding inhomogeneous Markov processes.     

带有相依重尾冲击的Poisson噪音过程尾的一致渐近性质

本文考虑了带有某种相依重尾冲击的Poisson噪音过程尾的一致渐近性质.当冲击是二元上尾渐近独立的非负随机变量具有长尾和控制变化尾分布且噪音函数具有正的上下界时,得到了过程尾概率的一致渐近公式.进而,当冲击具有连续的一致变化尾分布时,去除了噪音函数具有正的下界的限制.对于噪音函数不一定具有正的上界的情形,当冲击具有两两负象限相依结构时,也得到了一致渐近性结果.     

原子系统中偶极-偶极相互作用对量子存储支撑熵不确定度的调控研究

本文研究了Markovian过程和non-Markovian过程两种情况下,原子系统中偶极-偶极(D-D)相互作用和失谐量对两原子系统量子存储支撑(QMA)熵不确定度的调控作用.与Markovian过程相比,在non-Markovian过程中,由于库环境的记忆效应使得具有D-D相互作用的两原子系统QMA熵不确定度的演化行为呈现出振荡上升现象,且熵不确定度的上升趋势得到减缓,从而抑制了由系统量子噪声引起的退相干效应.此外,D-D相互作用对两原子系统QMA熵不确定度具有显著的调控能力,且D-D相互作用比失谐量的调控能力更强.     

Experimental design approach for petrochemical waste water treatment using solar assisted photo Fenton process

In this study, the effect of photo-Fenton process on the treatment of petrochemical waste water treatment was investigated. The influence of process conditions were determined by factorial design. Optimization of the process conditions were performed by central composite design. Under, optimized conditions lab scale and solar assisted pilot scale of petrochemical waste water treatment was performed. Three factors namely initial pH, H₂O₂ concentration (mM) and Fe²⁺ concentration (mM) executed the essential role in petrochemical waste water treatment. Central composite design resulted in the prediction of optimized value as 6.5 initial pH, 15.65 mM of H₂O₂ concentration and 2.09 mM of Fe²⁺ concentration. Under these conditions, the reduction in chemical oxygen demand (COD) percentage reached about 68.67 ± 2.8% after 280 min in pilot scale of solar assisted photo Fenton process of petrochemical waste water treatment. Thus, experimental design combined with advanced Fenton process can become a feasible unconventional method for petrochemical waste water treatment.     

Solar Driven Gas Phase Advanced Oxidation Processes for Methane Removal - Challenges and Perspectives

Methane (CH₄) is a potent greenhouse gas and the second highest contributor to global warming. CH₄ emissions are still growing at an alarmingly high pace. To limit global warming to 1.5 °C, one of the most effective strategies is to reduce rapidly the CH₄ emissions by developing large-scale methane removal methods. The purpose of this perspective paper is threefold. (1) To highlight the technology gap dealing with low concentration CH₄ (at many emission sources and in the atmosphere). (2) To analyze the challenges and prospects of solar-driven gas phase advanced oxidation processes for CH₄ removal. And (3) to propose some ideas, which may help to develop solar-driven gas phase advanced oxidation processes and make them deployable at a climate significant scale.