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Efficient photon-pair generation in layer-poled lithium niobate nanophotonic waveguides

Light(Science & Applications) 2024年第11期13卷 2847-2856页

作者： Xiaodong Shi Sakthi Sanjeev Mohanraj Veerendra Dhyani Angela Anna Baiju Sihao Wang Jiapeng Sun Lin Zhou Anna Paterova victor leong Di Zhu A*STAR Quantum Innovation Centre(Q.InC) Institute of Materials Research and Engineering(IMRE)Agency for ScienceTechnology and Research(A*STAR)Singapore 138634Singapore Department of Physics National University of SingaporeSingapore 117542Singapore Department of Materials Science and Engineering National University of SingaporeSingapore 117575Singapore Centre for Quantum Technologies National University of SingaporeSingapore 117543Singapore

Integrated photon-pair sources are crucial for scalable photonic quantum ***-film lithium niobate is a promising platform for on-chip photon-pair generation through spontaneous parametric down-conversion(SPDC).However,the device implementation faces practical *** poled lithium niobate(PPLN),despite enabling flexible quasi-phase matching,suffers from poor fabrication reliability and device repeatability,while conventional modal phase matching(MPM)methods yield limited efficiencies due to inadequate mode ***,we introduce a layer-poled lithium niobate(LPLN)nanophotonic waveguide for efficient photon-pair *** leverages layer-wise polarity inversion through electrical poling to break spatial symmetry and significantly enhance nonlinear interactions for MPM,achieving a notable normalized second-harmonic generation(SHG)conversion efficiency of 4615%W^(−1)cm^(−2).Through a cascaded SHG and SPDC process,we demonstrate photon-pair generation with a normalized brightness of 3.1×10^(6)Hz nm^(−1)mW^(−2)in a 3.3 mm long LPLN waveguide,surpassing existing onchip sources under similar operating ***,our LPLN waveguides offer enhanced fabrication reliability and reduced sensitivity to geometric variations and temperature fluctuations compared to PPLN *** expect LPLN to become a promising solution for on-chip nonlinear wavelength conversion and non-classical light generation,with immediate applications in quantum communication,networking,and on-chip photonic quantum information processing.

关键词： waveguide waveguides lithium

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Phytoplankton diversity in a tropical bay,North Borneo,Malaysia as revealed by light microscopy and Next-Generation Sequencing

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Acta Oceanologica Sinica 2022年第12期41卷 142-151页

作者： Brian Wei Khong Chong Sandric Chee Yew leong victor SKuwahara Teruaki Yoshida Unit for Harmful Algal Bloom Studies Borneo Marine Research InstituteUniversiti Malaysia SabahKota Kinabalu 88400Malaysia St.John’s Island National Marine Laboratory Tropical Marine Science InstituteNational University of SingaporeSingapore 119227Singapore Faculty of Education&Graduate School of Science and Engineering Soka UniversityHachiojiTokyo 192-8577Japan

Assessments of phytoplankton diversity in Sabah waters,North Borneo,have primarily relied on morphology-based identification,which has inherent biases and can be ***-Generation Sequencing(NGS)technology has been shown to be capable of overcoming several limitations of morphology-based *** were collected from the Sepanggar Bay over the course of the year 2018 in different monsoon ***-based identification and NGS sequencing of the V8–V9 region of the 18S LSU rDNA were used to investigate the diversity of the phytoplankton *** and NGS showed complementary results with more diatom taxa detected by microscopy whereas NGS detected smaller and rarer *** harmful algal genera in the study site comprised of Skeletonema,Margalefidinium,Pyrodinium,Takayama,and Alexandrium as detected by *** study showed that that an integrative approach of both morphological and molecular techniques could provide more comprehensive information about the phytoplankton community as the approach captured quantitative variability as well as the diversity of phytoplankton species.

关键词： phytoplankton community Next-Generation Sequencing(NGS) Sabah South China Sea

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EVALUATION OF BIM APPLICATION FOR WATER EFFICIENCY ASSESSMENT

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Journal of Green Building 2020年第4期15卷 91-115页

作者： Ghazaleh Khoshdelnezamiha San Chuin Liew victor Nee Shin Bong Dominic Ek leong Ong Swinburne Sarawak Research Centre for Sustainable Technologies Faculty of EngineeringComputing and ScienceSwinburne University of Technology Sarawak Campus93350 KuchingSarawakMalaysia School of Engineering and Built Environment Griffith University170 Kessels RoadNathanQueensland 4111Australia

Application of Building Information Modelling(BIM)in architecture,engineering,and construction industry is known for its productivity and *** BIM is one of the recent applications that aids users in achieving sustainability and/or improved building performance objectives through design and analysis of digital semantic *** focus is on the application of green BIM for water efficiency(WE)analysis in accordance with the Malaysian Green Building Index(GBI)as a sustainability assessment *** Green Project Template(RGPT)and Autodesk Green Building Studio(GBS)as two available BIM tools were selected to evaluate and compare the applicability of each method for GBI WE *** resolve the limitations identified from each evaluated method,automated GBI assessment tool(AGBIA)was developed as an *** AGBIA as a supporting tool was established with the use of Dynamo,a visual programming tool to compensate for the limitations faced in the investigated *** practicality of each method was explored using a hypothetical model in Revit to automate information correspondent to 10 water efficiency assessment points and generate reports and documents necessary for the GBI design stage *** final phase involves verification of results obtained from each method using the conventional GBI WE *** is suitable for the green BIM users in Malaysia based on the flexibility and automation over defining and assigning green parameters that are in line with the local context,the direct link of green information to the model,as well as the detail of presented data.

关键词： Building Information Modelling Green BIM Green Building Index Water Efficiency Green Building Assessment

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