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Statistical analysis of recombination properties of the boron-oxygen defect in p-type Czochralski silicon

Nitin NAMPALLI,Tsun Hang FUNG,Stuart WENHAM,Brett HALLAM,Malcolm ABBOTT

Frontiers in Energy 2017, Volume 11, Issue 1,   Pages 4-22 doi: 10.1007/s11708-016-0442-6

Abstract: the application of lifetime spectroscopy to the study of carrier-induced degradation ascribed to the boron-oxygendefect, this study has implications for the use of lifetime spectroscopy to study other carrier induced defects

Keywords： Czochralski silicon     boron-oxygen defect     injection dependent lifetime spectroscopy     goodness-of-fit     repeatability    

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“Charging” the cigarette butt: heteroatomic porous carbon nanosheets with edge-induced topological defectsfor enhanced oxygen evolution performance

Frontiers of Chemical Science and Engineering 2023, Volume 17, Issue 11,   Pages 1755-1764 doi: 10.1007/s11705-023-2318-8

Abstract: Owing to the complexity of electron transfer pathways, the sluggish oxygen evolution reaction processtreatment using cigarette butts as raw materials, which can drastically accelerate the overall rate of oxygenreaction by facilitating the adsorption of oxygenated intermediates by the edge-induced topological defectsporous nanosheets loaded with Co nanoparticles (Co@NC-500) exhibits enhanced catalytic activity toward oxygen

Keywords： oxygen evolution reaction     porous carbon nanosheets     Co nanoparticles     edge-induced topological defects    

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Mechanical responses of pristine and defective hexagonal boron-nitride nanosheets: A molecular dynamics

Mohammad SALAVATI, Arvin MOJAHEDIN, Ali Hossein Nezhad SHIRAZI

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 3,   Pages 623-631 doi: 10.1007/s11709-020-0616-5

Abstract: dynamics (MD) simulation to investigate the mechanical characteristics and failure mechanism of hexagonal boron-nitrideThe defective structure contains three types of the most common initial defects in engineering materialsthat are known as cracks, notches (with various length/size), and point vacancy defects (with a widecomprehensive and useful vision concerning the mechanical properties of h-BN nanosheets with/without defects

Keywords： hexagonal boron-nitride     mechanical properties     crack     notch     point defects     molecular dynamics    

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An industrial solution to light-induced degradation of crystalline silicon solar cells

Meng XIE,Changrui REN,Liming FU,Xiaodong QIU,Xuegong YU,Deren YANG

Frontiers in Energy 2017, Volume 11, Issue 1,   Pages 67-71 doi: 10.1007/s11708-016-0430-x

Abstract: Boron-oxygen defects can cause serious light-induced degradation (LID) of commercial solar cells basedon the boron-doped crystalline silicon (c-Si), which are formed under the injection of excess carriersIn this contribution, we have demonstrated that the passivation process of boron-oxygen defects can be

Keywords： Boron-oxygen defects     c-Si solar cells     light-induced degradation     passivation     forward bias    

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Tomographic diagnosis of defects in hydraulic concrete structure

ZHAO Mingjie, XU Xibin

Frontiers of Structural and Civil Engineering 2008, Volume 2, Issue 3,   Pages 226-232 doi: 10.1007/s11709-008-0027-5

Abstract: The ultrasonic tomographic technology is applied to diagnose the defects in hydraulic concrete structureHowever, the image resolution of multiple defects is not satisfactory.Defects with the orientation perpendicular to the direction of the diagnosis may have higher precision

Keywords： satisfactory     processing     orientation     tomographic diagnosis     orientation perpendicular    

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Synthesis of boron modified CoMo/Al

Hui Shang, Chong Guo, Pengfei Ye, Wenhui Zhang

Frontiers of Chemical Science and Engineering 2021, Volume 15, Issue 5,   Pages 1088-1098 doi: 10.1007/s11705-020-1969-y

Abstract: metals and the support, therefore, in this research, the modified CoMo/ -Al O catalysts with various boronThe effects of preparing methods as well as boron amounts on the active phase, acidic properties and

Keywords： CoMo catalyst     boron modification     surface acidity     microwave heating     selective hydrodesulfurization    

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Automated classification of civil structure defects based on convolutional neural network

Pierclaudio SAVINO, Francesco TONDOLO

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 2,   Pages 305-317 doi: 10.1007/s11709-021-0725-9

Abstract: Today, the most commonly used civil infrastructure inspection method is based on a visual assessment conducted by certified inspectors following prescribed protocols. However, the increase in aggressive environmental and load conditions, coupled with the achievement of many structures of the life-cycle end, has highlighted the need to automate damage identification and satisfy the number of structures that need to be inspected. To overcome this challenge, this paper presents a method for automating concrete damage classification using a deep convolutional neural network. The convolutional neural network was designed after an experimental investigation of a wide number of pretrained networks, applying the transfer-learning technique. Training and validation were conducted using a database built with 1352 images balanced between “undamaged”, “cracked”, and “delaminated” concrete surfaces. To increase the network robustness compared to images in real-world situations, different image configurations have been collected from the Internet and on-field bridge inspections. The GoogLeNet model, with the highest validation accuracy of approximately 94%, was selected as the most suitable network for concrete damage classification. The results confirm that the proposed model can correctly classify images from real concrete surfaces of bridges, tunnels, and pavement, resulting in an effective alternative to the current visual inspection techniques.

Keywords： concrete structure     infrastructures     visual inspection     convolutional neural network     artificial intelligence    

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Engineering Dual Oxygen Simultaneously Modified Boron Nitride for Boosting Adsorptive Desulfurization Article

罗静, 魏延臣, 巢艳红, 王超, 李宏平, 熊君, 华明清, 李华明, 朱文帅

Engineering 2022, Volume 14, Issue 7,   Pages 86-93 doi: 10.1016/j.eng.2020.08.030

Abstract:

Oxygen atoms usually co-exist in the lattice of hexagonal boron nitride (h-BN).The understanding of interactions between the oxygen atoms and the adsorbate, however, is still ambiguousHerein, simultaneously oxygen atom-scale interior substitution and edge hydroxylation in BN structureExperimental results indicated that the dual oxygen modified BN (BN–2O) exhibited an impressivelyThe density functional theory calculations also unveiled that the oxygen atoms confined in BN interior

Keywords： Polymer-based synthetic strategy     Interior substitution BN     Oxygen doping     Adsorptive desulfurization    

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The boron neutorn capture therapy (BNCT) status to go into the new era

Zhou Yongmao

Strategic Study of CAE 2012, Volume 14, Issue 8,   Pages 4-13

Abstract:

The paper briefly interprets the obvious progress of the boron neutornIt includes the BNCT clinical positioning, the tumour recurrence exploring, the boron concentration quantifeddetecting, the targeting boron compound composing and the in hospitor neutron source irradintors setting

Keywords： neutron capture therapy     clinical trial     tumour recurrence     boron concentration detect     targeting boron    

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Improving hole transfer of boron nitride quantum dots modified PDI for efficient photodegradation

Frontiers of Chemical Science and Engineering 2023, Volume 17, Issue 11,   Pages 1718-1727 doi: 10.1007/s11705-023-2319-7

Abstract: Herein, an effective and robust photocatalyst perylene-3,4,9,10-tetracarboxylic diamide/boron nitride

Keywords： PDI     boron nitride     quantum dots     photocatalysis     hole transfer    

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Thermal reffusivity: uncovering phonon behavior, structural defects, and domain size

Yangsu XIE, Bowen ZHU, Jing LIU, Zaoli XU, Xinwei WANG

Frontiers in Energy 2018, Volume 12, Issue 1,   Pages 143-157 doi: 10.1007/s11708-018-0520-z

Abstract: size and defect levels of metals, the thermal reffusivity can also uncover phonon behavior, structure defects

Keywords： thermal reffusivity theory     phonon behavior     structure defects     structural thermal domain (STD) size     2D    

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Determining casting defects in near-net shape casting aluminum parts by computed tomography

Jiehua LI, Bernd OBERDORFER, Daniel HABE, Peter SCHUMACHER

Frontiers of Mechanical Engineering 2018, Volume 13, Issue 1,   Pages 48-52 doi: 10.1007/s11465-018-0493-y

Abstract: near-net shape casting aluminum parts were investigated by computed tomography to determine casting defects(second part), low-pressure die casting (first part) significantly reduced the formation of casting defectsNo significant casting defect was observed in the third part, and this absence of defects indicates thatMoreover, casting defects were mostly distributed along the eutectic grain boundaries.This investigation demonstrated that computed tomography is an efficient method to determine casting defects

Keywords： near-net shape casting     aluminum parts     casting defects     low pressure die casting     die casting     semi-solid    

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Water-soluble BODIPY and aza-BODIPY dyes: synthetic progress and applications

Gang FAN,Le YANG,Zhijian CHEN

Frontiers of Chemical Science and Engineering 2014, Volume 8, Issue 4,   Pages 405-417 doi: 10.1007/s11705-014-1445-7

Abstract: In recent years, boron-dipyrromethene (BODIPY) and boron-azadipyrromethene (aza-BODIPY) dyes have attracted

Keywords： boron-dipyrromethene     boron-azadipyrromethene     synthetic progress     applications    

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Detection of solder bump defects on a flip chip using vibration analysis

Junchao LIU, Tielin SHI, Qi XIA, Guanglan LIAO

Frontiers of Mechanical Engineering 2012, Volume 7, Issue 1,   Pages 29-37 doi: 10.1007/s11465-012-0314-7

Abstract: Solder bump defects on flip chips are difficult to detect, because the solder bumps are obscured by the

Keywords： flip chip     defect detection     ultrasonic excitation     vibration analysis    

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Diagnosis of sewer pipe defects on image recognition of multi-features and support vector machine in

Xiangyang Ye, Jian’e Zuo, Ruohan Li, Yajiao Wang, Lili Gan, Zhonghan Yu, Xiaoqing Hu

Frontiers of Environmental Science & Engineering 2019, Volume 13, Issue 2, doi: 10.1007/s11783-019-1102-y

Abstract:

An image-recognition-based diagnosis system of pipe defect types was established.

1043 practical pipe images were gathered by CCTV robot in a southern Chinese city.

The overall accuracy of the system is 84% and the highest accuracy is 99.3%.

The accuracy shows positive correlation to the number of training samples.

Keywords： Sewer pipe defects     Defect diagnosing     Image recognition     Multi-features extraction     Support vector machine    

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Title Author Date Type Operation

Statistical analysis of recombination properties of the boron-oxygen defect in p-type Czochralski silicon

Nitin NAMPALLI,Tsun Hang FUNG,Stuart WENHAM,Brett HALLAM,Malcolm ABBOTT

Journal Article

“Charging” the cigarette butt: heteroatomic porous carbon nanosheets with edge-induced topological defectsfor enhanced oxygen evolution performance

Journal Article

Mechanical responses of pristine and defective hexagonal boron-nitride nanosheets: A molecular dynamics

Mohammad SALAVATI, Arvin MOJAHEDIN, Ali Hossein Nezhad SHIRAZI

Journal Article

An industrial solution to light-induced degradation of crystalline silicon solar cells

Meng XIE,Changrui REN,Liming FU,Xiaodong QIU,Xuegong YU,Deren YANG

Journal Article

Tomographic diagnosis of defects in hydraulic concrete structure

ZHAO Mingjie, XU Xibin

Journal Article

Synthesis of boron modified CoMo/Al

Hui Shang, Chong Guo, Pengfei Ye, Wenhui Zhang

Journal Article

Automated classification of civil structure defects based on convolutional neural network

Pierclaudio SAVINO, Francesco TONDOLO

Journal Article

Engineering Dual Oxygen Simultaneously Modified Boron Nitride for Boosting Adsorptive Desulfurization

罗静, 魏延臣, 巢艳红, 王超, 李宏平, 熊君, 华明清, 李华明, 朱文帅

Journal Article

The boron neutorn capture therapy (BNCT) status to go into the new era

Zhou Yongmao

Journal Article

Improving hole transfer of boron nitride quantum dots modified PDI for efficient photodegradation

Journal Article

Thermal reffusivity: uncovering phonon behavior, structural defects, and domain size

Yangsu XIE, Bowen ZHU, Jing LIU, Zaoli XU, Xinwei WANG

Journal Article

Determining casting defects in near-net shape casting aluminum parts by computed tomography

Jiehua LI, Bernd OBERDORFER, Daniel HABE, Peter SCHUMACHER

Journal Article

Water-soluble BODIPY and aza-BODIPY dyes: synthetic progress and applications

Gang FAN,Le YANG,Zhijian CHEN

Journal Article

Detection of solder bump defects on a flip chip using vibration analysis

Junchao LIU, Tielin SHI, Qi XIA, Guanglan LIAO

Journal Article

Diagnosis of sewer pipe defects on image recognition of multi-features and support vector machine in

Xiangyang Ye, Jian’e Zuo, Ruohan Li, Yajiao Wang, Lili Gan, Zhonghan Yu, Xiaoqing Hu

Journal Article