Transparency:The Missing Link to Boosting AI Transformations in Chemical Engineering

The issue of opacity within data-driven artificial intelligence(AI)algorithms has become an impediment to these algorithms’extensive utilization,especially within sensitive domains concerning health,safety,and high profitability,such as chemical engineering(CE).In order to promote reliable AI utilization in CE,this review discusses the concept of transparency within AI utilizations,which is defined based on both explainable AI(XAI)concepts and key features from within the CE field.This review also highlights the requirements of reliable AI from the aspects of causality(i.e.,the correlations between the predictions and inputs of an AI),explainability(i.e.,the operational rationales of the workflows),and informativeness(i.e.,the mechanistic insights of the investigating systems).Related techniques are evaluated together with state-of-the-art applications to highlight the significance of establishing reliable AI applications in CE.Furthermore,a comprehensive transparency analysis case study is provided as an example to enhance understanding.Overall,this work provides a thorough discussion of this subject matter in a way that—for the first time—is particularly geared toward chemical engineers in order to raise awareness of responsible AI utilization.With this vital missing link,AI is anticipated to serve as a novel and powerful tool that can tremendously aid chemical engineers in solving bottleneck challenges in CE.

A graph neural network approach to the inverse design for thermal transparency with periodic interparticle system

Recent years have witnessed significant advances in utilizing machine learning-based techniques for thermal metamaterial-based structures and devices to attain favorable thermal transport behaviors.Among the various thermal transport behaviors,achieving thermal transparency stands out as particularly desirable and intriguing.Our earlier work demonstrated the use of a thermal metamaterial-based periodic interparticle system as the underlying structure for manipulating thermal transport behavior and achieving thermal transparency.In this paper,we introduce an approach based on graph neural network to address the complex inverse design problem of determining the design parameters for a thermal metamaterial-based periodic interparticle system with the desired thermal transport behavior.Our work demonstrates that combining graph neural network modeling and inference is an effective approach for solving inverse design problems associated with attaining desirable thermal transport behaviors using thermal metamaterials.

Fabrication of UV-Curing Linalool-Polysiloxane Hybrid Films with High Refractive Index and Transparency

In this article,a series of high refractive indices(1.50-1.53)thiol phenyl polysiloxane(TPS)were synthesized via hydrolytic sol-gel reaction.The Fourier transform infrared spectra(FT-IR)and nuclear magnetic resonance spectra(NMR)results showed that TPS conformed to the predicted structures.Natural terpene linalool was exploited as photocrosslinker to fabricate UV-curing linalool-polysiloxane hybrid films(LPH)with TPS via photoinitiated thiol-ene reaction.LPH rapidly cured under UV irradiation at the intensity of 80 mW/cm^(2) in 30 s,exhibiting good UV-curing properties.The optical transmittance of LPH in the wavelength of 300-800 nm was over 90%,exhibiting good optical transparency.The water contact angle and water vapor permeability results showed that the introduction of phenyl groups enhance the hydrophobicity and water vapor barrier properties of LPH.The results indicated the potential of LPHs in the applications of optical functional coatings.

Effects of Different Raw Materials and Additions on Wave Transparency of Alumina Fiber Products

Fiber products for microwave kilns were prepared using alumina fibers with alumina contents of 72 mass%and 80 mass%,and calcined alumina powder(4-6μm)as the main raw materials,silica sol as the binder,and cationic starch as the flocculant.Effects of different raw materials and their additions on the wave transparency of fiber products were researched.The results show that as the alumina fiber(72%)addition increases,the heating rate of the samples first decreases and then increases,and the corresponding wave transparency of the sample first increases and then decreases.When the alumina fibers addition is 40 mass%and the alumina powder addition is 30 mass%,the prepared microwave kiln lining material has a higher mullite content,which improves the wave transparency of the sample.The sample prepared from alumina fibers with an alumina content of 80%has a suitable glass-mullite phase ratio,performs lower overall dielectric constant and good wave transparency,and is a suitable lining material for microwave kilns.

Tunable magnomechanically induced transparency and fast-slow light in a hybrid cavity magnomechanical system

We theoretically explore the tunability of magnomechanically induced transparency(MMIT) phenomenon and fastslow light effect in a hybrid cavity magnomechanical system in which a high-quality yttrium iron garnet(YIG) sphere and an atomic ensemble are placed inside a microwave cavity. In the probe output spectrum, we can observe magnoninduced transparency(MIT) and MMIT due to the photon-magnon and phonon-magnon couplings. We further investigate the effect of atomic ensemble on the absorption spectrum. The results show that better transparency can be obtained by choosing appropriate atomic ensemble parameters. We give an explicit explanation for the mechanism of the Fano resonance phenomenon. Moreover, we discuss phenomena of slow-light propagation. The maximum group delay increases significantly with the increasing atom–cavity coupling strength, and the conversion between slow light and fast light can also be achieved by adjusting the atom–cavity coupling strength. These results may have potential applications for quantum information processing and high precision measurements.

Satellite-observed significant improvement in nearshore transparency of the Bohai Sea during pollution control

The Bohai Sea(BS)is the unique semi-closed inland sea of China,characterized by degraded water quality due to significant terrestrial pollution input.In order to improve its water quality,a dedicated action named“Uphill Battles for Integrated Bohai Sea Management”(UBIBSM,2018–2020)was implemented by the Chinese government.To evaluate the action effectiveness toward water quality improvement,variability of the satelliteobserved water transparency(Secchi disk depth,Z_(SD))was explored,with special emphasis on the nearshore waters(within 20 km from the coastline)prone to terrestrial influence.(1)Compared to the status before the action began(2011–2017),majority(87.3%)of the nearshore waters turned clear during the action implementation period(2018–2020),characterized by the elevated Z_(SD)by 11.6%±12.1%.(2)Nevertheless,the improvement was not spatially uniform,with higher Z_(SD)improvement in provinces of Hebei,Liaoning,and Shandong(13.2%±16.5%,13.2%±11.6%,10.8%±10.2%,respectively)followed by Tianjin(6.2%±4.7%).(3)Bayesian trend analysis found the abrupt Z_(SD)improvement in April 2018,which coincided with the initiation of UBIBSM,implying the water quality response to pollution control.More importantly,the independent statistics of land-based pollutant discharge also indicated that the significant reduction of terrestrial pollutant input during the UBIBSM action was the main driver of observed Z_(SD)improvement.(4)Compared with previous pollution control actions in the BS,UBIBSM was found to be the most successful one during the past 20 years,in terms of transparency improvement over nearshore waters.The presented results proved the UBIBSM-achieved remarkable water quality improvement,taking the advantage of long-term consistent and objective data record from satellite ocean color observation.

Corrigendum to“Electromagnetically induced transparency via localized surface plasmon mode-assisted hybrid cavity QED”

We would like to point out the misprinted Fig.3 in our published paper[Chin.Phys.B 32,114205(2023)].Since only orders of subfigures need to be corrected and the main results of the published paper are correct,we present the correct figure in this corrigendum.

Electromagnetically induced transparency via localized surface plasmon mode-assisted hybrid cavity QED

In recent years, most studies have focused on the perfect absorption and high-efficiency quantum memory of the onesided system, ignoring the characteristics of its optical switching contrast. Thus, the performance of all-optical switching and optical transistors is limited. Herein, we propose a localized surface plasmon(LSP) mode-assisted cavity QED system which consists of a Λ-shaped three-level quantum emitter(QE), a metal nanoparticle and a one-sided optical cavity with a fully reflected mirror. In this system, the QE coherently couples to the cavity and LSP mode respectively, which is manipulated by the control field. As a result, considerably high and stable switch contrast of 90% can be achievable due to the strong confined field of the LSP mode and perfect absorption of the optical medium. In addition, we obtain a power dependent effect between the control field and the transmitted frequency as a result of the converted dark state. We employ the Heisenberg–Langevin equation and numerical master equation formalisms to explain high switching, controllable output light and the dark state. Our system introduces an effective method to improve the performance of optical switches based on the one-sided system in quantum information storage and quantum communication.

Dynamic light storage based on controllable electromagnetically induced transparency effect

We analytically and numerically investigate a signal light storing mechanism based on the controllable electromagnetically induced transparency(EIT)effect.We demonstrate that the isolation between the waveguide and the cavities cannot be achieved instantly as soon as the two cavities are tuned into resonance,no matter the index tuning rate is ultrafast or slow.We also investigate the temporal evolution features of the intracavity energy when the pulse during time is prolonged.We find many periodical oscillations of the trapped energy in both cavities,and they are entirely complementary.Our analysis shows that the adiabatic wavelength conversion in both cavities and a phase difference π between them play critical roles in this phenomenon.

Electric field intensity measurement by using doublet electromagnetically induced transparency of cold Rb Rydberg atoms

We demonstrate a simple method to measure electric field intensity by using doublet electromagnetically induced transparency(EIT) spectra of cold Rb Rydberg atoms, where the frequency of the coupling laser does not need to be locked. Based on the Stark splitting of the Rb Rydberg state, 10D_(3/2), under electric fields and the corresponding calculated polarizabilities, the real electric field intensity is calculated using the difference in radio-frequency diffraction between two acousto-optic modulators, which acts as a frequency criterion that allows us to measure the electrical field without locking the coupling laser. The value measured by this simple method shows a good agreement with our previous work [Opt.Express 29 1558(2021)] where the frequency of the coupling laser needs to be locked with an additional EIT spectrum based on atom vapor and a proportional–integral–differential feedback circuit. Our presented method can also be extended to the measurement of electric field based on hot Rydberg atom vapor, which has application in industry.

Sympathetic electromagnetically induced transparency ground state cooling of a~(40)Ca^(+)–~(27)Al^(+)pair in an~(27)Al^(+)clock

We report on electromagnetically induced transparency cooling of ^(40)Ca^(+)to sympathetically cool the threedimensional secular modes of motion in a ^(40)Ca^(+)–^(27)Al^(+)two-ion pair near the ground state.We observe simultaneous ground state cooling across all radial modes and axial modes of a ^(40)Ca^(+)–^(27)Al^(+)ion pair,occupying a broader cooling range in frequency space over 3 MHz.The cooling time is observed to be less than 1 ms.The mean phonon number and heating rates of all motional modes are measured.This study is not only an important step for reducing the secular motion time-dilation shift uncertainty and uptime ratio of ^(27)Al^(+)optical clock,but also essential for high-fidelity quantum simulations and quantum information processors using trapped ions.

Impacts of Transparency and Traceability on Fashion Supply Chain System

The level of fashion consumer awareness and communication regarding sustainable consumption is rising. Organizations are working to provide clarity and guidance on fashion consumption. Brands are experimenting with new materials and supply chain strategies, and suppliers are improving the manufacturing processes and quality of products. However, given the size and complexity of the industrial process, these efforts are not adequate in ensuring a sustainable fashion supply chain. Transparency and traceability in the fashion supply chain are needed to improve the fashion industry by supporting sustainable and ethical practices in the apparel supply chain. Key gaps include a lack of comprehensive and transparent information about how, where, and by whom materials are sourced, processed, and assembled;a lack of transparency in the supply chain practices and procedures affects the environment, working conditions, and human health. The industry has to build the capacity to manage its supply chain, more effectively and responsibly, by improving transparency and traceability as the top goals. So, in this context, the main purpose of this research paper is to study the impacts of transparency and traceability on the dimensions of sustainability in fashion supply chain. The researchers have applied descriptive research methods in which secondary data are collected and analyzed through a literature review of peer-reviewed research papers and the primary data are collected through the survey method by distributing a semi structured questionnaire. The data collected are analyzed using statistical tools and techniques. Finally, the results are discussed and presented.

Accounting for interaction in language test validation:Applying the competition-mediation-moderation(CMM)approach to enhance the transparency of test score interpretation

Interaction in language ability refers to the exchange of information across different predictors of language ability in determining language test performance.Although interaction has long been claimed to be an essential mechanism in the construct of language ability and language test validation,systematic investigations into this issue are rare in language testing research.The current study revisited the concept of interaction in language testing and proposes the competition-mediation-moderation(CMM)approach for inquiry in language test validation to enhance the transparency of test score interpretation.As a demonstration,the paper used Test for English Majors Grade Four(TEM4)data and tested the interaction between vocabulary and grammar in predicting L2 reading performance.The results showed:1)grammar played a dominant role in predicting TEM4 reading performance,2)grammar fully mediated the effect of vocabulary on TEM4 reading performance,and 3)vocabulary did not moderate the effect of grammar on TEM4 reading performance.The paper has theoretical and methodological implications for language testing research as well as practical implications for language test preparation.

半透明钙钛矿太阳能电池的研究进展

半透明太阳能电池因其在发电窗户、建筑集成光伏、农业温室等领域的巨大潜力而受到越来越多的关注.钙钛矿因其优异的光电性能和通用的制造方法成为了半透明太阳能电池光吸收材料的理想候选.半透明太阳能电池具有高透明度、颜色可调性等优异性能.因此,为了保证光电转换效率的同时实现良好的透光性,科学界需要继续解决器件结构设计、吸光层和透明电极材料等问题.分析半透明钙钛矿太阳能电池在电极设计、有源层调控以及器件结构的最新研究进展,并探讨半透明钙钛矿太阳能电池当前所面临的问题和未来发展方向.

银纳米线透明导电薄膜仿真研究现状

银纳米线薄膜作为新型柔性透明导电薄膜,具有导电性能好、透光率高、成本低和柔性良好等优点。本文从电学、力学和光学三个方面介绍了银纳米线薄膜的仿真原理、仿真工具及发展现状。目前,银纳米线薄膜的电学性能仿真已研究得比较完善,能够从微观到宏观尺度建立精确的模型,常用的节点主导假设(JDA)模型、多节点表示(MNR)模型能够较好地模拟、预测银纳米线薄膜的方阻。银纳米线薄膜力学仿真尚未能建立起完美的宏观模型,只能通过分子动力学方法等对单根或多根银纳米线之间的力学性能进行仿真模拟。银纳米线薄膜的光学性能的仿真主要依靠时域有限差分方法来模拟光与材料的相互作用,依靠该方法能够模拟少量银纳米线的光学性能,并且目前已有建立大型复杂银纳米线薄膜光学模型的尝试。此外,多物理场耦合且能够反映整个银纳米线薄膜的光-电-热-力综合性能的仿真模型仍未建立,未来研究者们还需于此继续深耕。

论人工智能透明度原则的法治化实现

随人工智能应用范围不断扩大,透明度原则成为破解“算法黑箱”难题的钥匙。透明度原则包括形式透明和实质透明。形式透明是对人工智能基础信息的披露,使人工智能的部署使用处于非秘密状态。实质透明与人工智能的可解释性息息相关,强调对披露信息以可被理解的方式进行有意义解释,从而打破知识壁垒,使相关信息实现真正可知。透明度原则应在法治化实现上进行精细考量:在考虑现有技术条件的基础上,有必要根据监管机关和社会公众的能力不同有区别地对披露和解释的信息内容提出义务要求,并针对不同人工智能的风险程度采取分级分类分场景的执行标准,从保护用户与公众知情权行使、确保国家监管权落实两方面推动透明度原则实现。

医疗人工智能应用的法律挑战及其治理

医疗人工智能的高效性和先进性对公共卫生和医疗保健领域的技术创新产生了深刻影响。医疗人工智能有望使公民更好地享有健康权,并对整个公共卫生领域带来裨益,但同时也需注意医疗人工智能的发展速度远超对其监管框架的部署规划,会对个人权利和公共健康构成严重挑战,亟需法律作出相应回应。从相关当事人的尊严和自主性的保护、健康数据处理中的隐私和个人信息保护、医疗人工智能应用的公平性和透明度、问责制度和归责原则等方面分析了医疗人工智能应用的法律挑战,并从明确医疗人工智能的治理原则,建立包含硬法和软法在内的初步立法框架,构建科学、合理、高效的监管体制等角度构思了我国医疗人工智能的治理框架。

财政透明度与企业避税行为

财政透明度是各级政府维持运行效率和接受社会监督的重要制度保证。以我国2014—2019年A股上市公司作为研究样本,本文实证研究了宏观财政透明度对微观企业避税行为的影响。研究发现:地方政府财政透明度的提升能够有效增加上市公司的主动避税程度。机制检验显示,主结果是由高财政透明度提升财政支出效率和降低财政压力引起的。进一步分析表明:主结果只在民营、高融资约束和有违规记录的子样本中显著,且在政府公共服务支出较高、税收征管强度较低、营商环境较好和市场竞争程度较强的地区作用更强。研究结论丰富了对财政透明度的微观经济后果的认识,进一步拓展了企业避税行为的影响因素分析边界,为充分发挥财政透明的宏微观治理作用以及完善政府财政支出制度建设提供了政策建议。

金融强监管对企业风险承担的影响——来自资管新规的经验证据

在经济下行压力增大、外部环境不确定性有增无减的背景下,我国企业运营正面临着各种挑战,企业风险承担问题尤为突出。选取2011—2021年A股上市公司作为样本,以资管新规的出台作为准自然实验,检验资管新规对企业风险承担水平的影响,探究企业在金融强监管下的风险承担行为。研究发现,资管新规提升了企业的风险承担水平。经济后果检验显示,资管新规主要增加了企业的被动风险承担,加大了企业的破产风险。经调节效应分析得到,企业通过提高信息披露透明度,政府通过改善营商环境、推进资本市场开放,可以缓解在资管新规出台背景下企业风险承担提高而带来的生产经营压力。

论平台内经营者数据的权利配置

大数据包括个人数据、公共数据、平台企业数据、平台内经营者数据。我国学界对于前三类数据的成果颇丰,但对平台内经营者数据这个数量最多、价值最高的数据类型却研究甚少。从事实角度来说,该类数据既无法由平台内经营者单独所有,也无法归平台内经营者与平台企业共同共有。从法律角度而言,该类数据既无法援用个人数据中的人格尊严保护原则,也无法适用平台企业数据的竞争法保护路径。较为合理的处理方法是将其视为平台内经营者与平台企业所签订的不完全契约中的新收益,适宜通过对平台企业施加透明度义务并且赋予平台内经营者启动再次谈判的方式进行权利配置。