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  1. Article ; Online: In-Plane BO

    Wang, Xuan / Dong, Xiping / Feng, Xiaochen / Shi, Qinhao / Wang, Jing / Yin, Xuemin / Zhang, Jiujun / Zhao, Yufeng

    Small methods

    2022  , Page(s) e2201201

    Abstract: ... of-the-art in-plane BO ...

    Abstract P2-phase layered cathode materials with distinguished electrochemical performance for sodium-ion batteries have attracted extensive attention, but they face critical challenges of transition metal layer sliding and unfavorable formation of hydration phase upon cycling, thus showing inferior long cycle life. Herein, a new approach is reported to modulate the local structure of P2 material by constructing a state-of-the-art in-plane BO
    Language English
    Publishing date 2022-11-21
    Publishing country Germany
    Document type Journal Article
    ISSN 2366-9608
    ISSN (online) 2366-9608
    DOI 10.1002/smtd.202201201
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Self-evolved BO

    Zhang, Dake / Wang, Shenghua / Lu, Xingyu / Zhang, Chengcheng / Feng, Kai / He, Le / Zhang, Hui / Sun, Wei / Yang, Deren

    iScience

    2023  Volume 26, Issue 11, Page(s) 108135

    Abstract: Oxidative dehydrogenation of propane (ODHP) is a promising process for producing propene. Recently, some boron-based catalysts have exhibited excellent olefin selectivity in ODHP. However, their complex synthetic routes and poor stability under high- ... ...

    Abstract Oxidative dehydrogenation of propane (ODHP) is a promising process for producing propene. Recently, some boron-based catalysts have exhibited excellent olefin selectivity in ODHP. However, their complex synthetic routes and poor stability under high-temperature reaction conditions have hindered their practical application. Herein, we report a self-evolution method rather than conventional assembly approaches to acquire structures with excellent stability under a high propane conversion, from a single precursor-MgB
    Language English
    Publishing date 2023-10-06
    Publishing country United States
    Document type Journal Article
    ISSN 2589-0042
    ISSN (online) 2589-0042
    DOI 10.1016/j.isci.2023.108135
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: BO-DRNet

    Dawei Wang / Jianhua Wan / Shanwei Liu / Yanlong Chen / Muhammad Yasir / Mingming Xu / Peng Ren

    Remote Sensing, Vol 14, Iss 264, p

    An Improved Deep Learning Model for Oil Spill Detection by Polarimetric Features from SAR Images

    2022  Volume 264

    Abstract: ... learning model named BO-DRNet. The model can obtain a more sufficiently and fuller feature by ResNet-18 ... as the backbone in encoder of DeepLabv3+, and Bayesian Optimization (BO) was used to optimize the model’s ... with other deep learning models, BO-DRNet performs best with a mean accuracy of 74.69% and a mean dice of 0.8551 ...

    Abstract Oil spill pollution at sea causes significant damage to marine ecosystems. Quad-polarimetric Synthetic Aperture Radar (SAR) has become an essential technology since it can provide polarization features for marine oil spill detection. Using deep learning models based on polarimetric features, oil spill detection can be achieved. However, there is insufficient feature extraction due to model depth, small reception field lend due to loss of target information, and fixed hyperparameter for models. The effect of oil spill detection is still incomplete or misclassified. To solve the above problems, we propose an improved deep learning model named BO-DRNet. The model can obtain a more sufficiently and fuller feature by ResNet-18 as the backbone in encoder of DeepLabv3+, and Bayesian Optimization (BO) was used to optimize the model’s hyperparameters. Experiments were conducted based on ten prominent polarimetric features were extracted from three quad-polarimetric SAR images obtained by RADARSAT-2. Experimental results show that compared with other deep learning models, BO-DRNet performs best with a mean accuracy of 74.69% and a mean dice of 0.8551. This paper provides a valuable tool to manage upcoming disasters effectively.
    Keywords deep learning model ; oil spill detection ; polarization feature ; SAR images ; Science ; Q
    Subject code 006
    Language English
    Publishing date 2022-01-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Article ; Online: A GAN-BO-XGBoost model for high-quality patents identification.

    Wu, Zengyuan / Zhao, Jiali / Li, Ying / Wang, Zelin / He, Bin / Chen, Liang

    Scientific reports

    2024  Volume 14, Issue 1, Page(s) 9560

    Abstract: ... algorithm (XGBoost) with Bayesian optimization (BO) is used to identify high-quality patents. For clarity ... this model is called a GAN-BO-XGBoost model. To test the effectiveness of above model, we use patent data ... between our proposed model and other models. The results show that GAN-BO-XGBoost model performs better ...

    Abstract The number of patents increases quickly, while more and more low-quality patents are emerging. It's important to identify high-quality patents from massive data quickly and accurately for organizational R&D decision-making and patent layout. However, due to low percentage of high-quality patents, it is challenging to identify them efficiently. In order to solve above problem, we reconstruct the existing index system for identifying high-quality patents by adding 4 features from technological strength of patentees. Furthermore, we propose an improved model by integrating resampling technique and ensemble learning algorithm. First, generative adversarial networks (GAN) are used to expand minority samples. Second, Extreme Gradient Boosting algorithm (XGBoost) with Bayesian optimization (BO) is used to identify high-quality patents. For clarity, this model is called a GAN-BO-XGBoost model. To test the effectiveness of above model, we use patent data in field of lithography technology. Tenfold cross-validation is carried out to evaluate the performance between our proposed model and other models. The results show that GAN-BO-XGBoost model performs better and it's more stable than other models.
    Language English
    Publishing date 2024-04-26
    Publishing country England
    Document type Journal Article
    ZDB-ID 2615211-3
    ISSN 2045-2322 ; 2045-2322
    ISSN (online) 2045-2322
    ISSN 2045-2322
    DOI 10.1038/s41598-024-60173-9
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Charge compensation engineering for high-performance dolomite-type BaTi(BO

    Yu, Bin / Chen, Jiale / Sun, Minghao / Chen, Nianmin / Li, Yuchan / Wang, Yunjian

    Dalton transactions (Cambridge, England : 2003)

    2022  Volume 51, Issue 7, Page(s) 2932–2942

    Abstract: Exploiting high color purity phosphors is a core problem in the development of phosphor conversion light-emitting diodes (pc-LEDs) for display devices. ... ...

    Abstract Exploiting high color purity phosphors is a core problem in the development of phosphor conversion light-emitting diodes (pc-LEDs) for display devices. Eu
    Language English
    Publishing date 2022-02-14
    Publishing country England
    Document type Journal Article
    ZDB-ID 1472887-4
    ISSN 1477-9234 ; 1364-5447 ; 0300-9246 ; 1477-9226
    ISSN (online) 1477-9234 ; 1364-5447
    ISSN 0300-9246 ; 1477-9226
    DOI 10.1039/d1dt04286f
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Book ; Online: srMO-BO-3GP

    Tran, Anh / Eldred, Mike / McCann, Scott / Wang, Yan

    A sequential regularized multi-objective constrained Bayesian optimization for design applications

    2020  

    Abstract: Bayesian optimization (BO) is an efficient and flexible global optimization framework that is ... applicable to a very wide range of engineering applications. To leverage the capability of the classical BO ... proposed to improve the limitation of the classical BO framework. In this work, we propose a novel multi ...

    Abstract Bayesian optimization (BO) is an efficient and flexible global optimization framework that is applicable to a very wide range of engineering applications. To leverage the capability of the classical BO, many extensions, including multi-objective, multi-fidelity, parallelization, latent-variable model, have been proposed to improve the limitation of the classical BO framework. In this work, we propose a novel multi-objective (MO) extension, called srMO-BO-3GP, to solve the MO optimization problems in a sequential setting. Three different Gaussian processes (GPs) are stacked together, where each of the GP is assigned with a different task: the first GP is used to approximate the single-objective function, the second GP is used to learn the unknown constraints, and the third GP is used to learn the uncertain Pareto frontier. At each iteration, a MO augmented Tchebycheff function converting MO to single-objective is adopted and extended with a regularized ridge term, where the regularization is introduced to smoothen the single-objective function. Finally, we couple the third GP along with the classical BO framework to promote the richness and diversity of the Pareto frontier by the exploitation and exploration acquisition function. The proposed framework is demonstrated using several numerical benchmark functions, as well as a thermomechanical finite element model for flip-chip package design optimization.
    Keywords Statistics - Machine Learning ; Computer Science - Machine Learning ; Computer Science - Neural and Evolutionary Computing
    Subject code 006
    Publishing date 2020-07-07
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  7. Article ; Online: Synthesis and characterization of azulene-based BO-doped heteroaromatics

    Zhao, Jingjing / Huang, Huaxi / Li, Nuoya / Wang, Dongxue / Wu, Di / Xia, Jianlong

    Tetrahedron. 2023 Sept., v. 144 p.133581-

    2023  

    Abstract: ... This study presents the successful synthesis and characterization of a series of azulene-based BO-doped ... trifluoroacetic acid. This observation suggests that the introduction of BO unit effectively restrains the protonation ...

    Abstract Simultaneously incorporating heteroatoms and nonbenzenoid aromatic hydrocarbons, such as azulene, into polycyclic aromatic hydrocarbons, offers a robust strategy for designing molecules with aesthetic appeal and unique properties. This study presents the successful synthesis and characterization of a series of azulene-based BO-doped heteroaromatics. Investigation into their optical and electrochemical properties, through UV–vis absorption, cyclic voltammetry, and DFT calculations, reveal their sensitivity to fluoride ions, making them promising candidates for chemosensor applications. Notably, unlike the parent azulene, which is sensitive to acid, these new compounds show negligible changes in absorption and NMR spectra when exposed to excess trifluoroacetic acid. This observation suggests that the introduction of BO unit effectively restrains the protonation of azulene moiety.
    Keywords absorption ; aesthetics ; azulene ; electrochemistry ; fluorides ; moieties ; protonation ; ultraviolet-visible spectroscopy ; voltammetry ; Polycyclic aromatic hydrocarbons (PAHs) ; BO-Doping ; F− sensor
    Language English
    Dates of publication 2023-09
    Publishing place Elsevier Ltd
    Document type Article ; Online
    ZDB-ID 204285-x
    ISSN 1464-5416 ; 0040-4020 ; 0563-2064
    ISSN (online) 1464-5416
    ISSN 0040-4020 ; 0563-2064
    DOI 10.1016/j.tet.2023.133581
    Database NAL-Catalogue (AGRICOLA)

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    In stock of ZB MED Cologne/Königswinter

    Zs.B 1076: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 2021: Bestellungen von Artikeln über das Online-Bestellformular
    ab Jg. 2022: Lesesaal (EG)

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  8. Article ; Online: Quantum Phases of SrCu_{2}(BO_{3})_{2} from High-Pressure Thermodynamics.

    Guo, Jing / Sun, Guangyu / Zhao, Bowen / Wang, Ling / Hong, Wenshan / Sidorov, Vladimir A / Ma, Nvsen / Wu, Qi / Li, Shiliang / Meng, Zi Yang / Sandvik, Anders W / Sun, Liling

    Physical review letters

    2020  Volume 124, Issue 20, Page(s) 206602

    Abstract: We report heat capacity measurements of SrCu_{2}(BO_{3})_{2} under high pressure along ... to tune SrCu_{2}(BO_{3})_{2} between the plaquette-singlet and antiferromagnetic states opens ...

    Abstract We report heat capacity measurements of SrCu_{2}(BO_{3})_{2} under high pressure along with simulations of relevant quantum spin models and map out the (P,T) phase diagram of the material. We find a first-order quantum phase transition between the low-pressure quantum dimer paramagnet and a phase with signatures of a plaquette-singlet state below T=2  K. At higher pressures, we observe a transition into a previously unknown antiferromagnetic state below 4 K. Our findings can be explained within the two-dimensional Shastry-Sutherland quantum spin model supplemented by weak interlayer couplings. The possibility to tune SrCu_{2}(BO_{3})_{2} between the plaquette-singlet and antiferromagnetic states opens opportunities for experimental tests of quantum field theories and lattice models involving fractionalized excitations, emergent symmetries, and gauge fluctuations.
    Language English
    Publishing date 2020-06-05
    Publishing country United States
    Document type Journal Article
    ZDB-ID 208853-8
    ISSN 1079-7114 ; 0031-9007
    ISSN (online) 1079-7114
    ISSN 0031-9007
    DOI 10.1103/PhysRevLett.124.206602
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Bonn / Germany

    Z 4' 58/153: Show issues

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  9. Article ; Online: Observation of Four-Fold Boron-Metal Bonds in RhB(BO

    Cheung, Ling Fung / Chen, Teng-Teng / Kocheril, G Stephen / Chen, Wei-Jia / Czekner, Joseph / Wang, Lai-Sheng

    The journal of physical chemistry letters

    2020  Volume 11, Issue 3, Page(s) 659–663

    Abstract: The maximum bond order between two main-group atoms was known to be three. However, it has been suggested recently that there is quadruple bonding in ... ...

    Abstract The maximum bond order between two main-group atoms was known to be three. However, it has been suggested recently that there is quadruple bonding in C
    Language English
    Publishing date 2020-01-13
    Publishing country United States
    Document type Journal Article
    ISSN 1948-7185
    ISSN (online) 1948-7185
    DOI 10.1021/acs.jpclett.9b03484
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Comments on "Does eco-friendly tourism necessary for entrepreneurship? The role of tourism and innovation in sustainable development" by Bo Song and Han Hongmei, https://doi.org/10.1007/s11356-023-28195-4.

    Wang, Yuan

    Environmental science and pollution research international

    2023  Volume 31, Issue 4, Page(s) 6586

    MeSH term(s) Tourism ; Sustainable Development ; Entrepreneurship
    Language English
    Publishing date 2023-12-08
    Publishing country Germany
    Document type Letter
    ZDB-ID 1178791-0
    ISSN 1614-7499 ; 0944-1344
    ISSN (online) 1614-7499
    ISSN 0944-1344
    DOI 10.1007/s11356-023-30872-3
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Bonn / Germany

    Z 5915: Show issues

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