MRI: Acquisition of a Multi-Dimensional Nano-Characterization System Based on a Scanning Probe Microscope for Multidisciplinary Materials Research and Education
MRI:获取基于扫描探针显微镜的多维纳米表征系统,用于多学科材料研究和教育
基本信息
- 批准号:2116353
- 负责人:
- 金额:$ 33.59万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2021
- 资助国家:美国
- 起止时间:2021-09-01 至 2023-08-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Non-Technical Description:A scanning probe microscope (SPM) is a scientific instrument that uses a sharp probe to measure surface and interface properties in nanometer and sub-nanometer spatial resolution. The SPM system acquired through this Major Research Instrumentation (MRI) award has significant impact on the research, education, and training infrastructure at Rowan University and its surrounding area in southern New Jersey. First, this instrument enables collaborative materials research among faculty members, undergraduate and graduate students, and regional industrial participants to conduct ground-breaking research. It allows the establishment of inter- and intra-institutional research collaborations. Second, this instrument helps grow several programs, such as the Materials Science & Engineering program, by providing ample opportunities for both undergraduate and graduate students to work on their research projects, coursework, or thesis projects, directly impacting the training of a technical workforce for the region. Third, this instrument is used by many researchers including women and underrepresented minority faculty and students through established university and college programs. This provides better experience, stronger training, and more opportunities for researchers from groups typically underrepresented in science and engineering. Finally, this instrument serves the local needs in advanced materials research and training, resulting in increased interactions with local industries and stronger impact on the economic growth in the region.Technical Description:The acquired SPM system combines ultrahigh-resolution imaging, nanoelectrical measurement, nanomechanical characterization, and nanoelectrochemical analysis for the research of various material systems in air, fluid, electrical field, or chemically reactive environment. With these advanced features, the instrument enables research projects in five key research areas: (1) surface morphology and nanomaterials research; (2) functional materials, flexible electronics and sensors; (3) electrochemistry, energy materials and devices, and protective coatings; (4) biological and biomedical materials, life sciences; and (5) additive manufacturing, construction and structural materials.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
非技术描述:扫描探针显微镜(SPM)是一种使用锋利探针以纳米和亚纳米空间分辨率测量表面和界面特性的科学仪器。通过这项重大研究仪器(MRI)奖项获得的SPM系统对罗文大学及其新泽西州南部周边地区的研究、教育和培训基础设施产生了重大影响。首先,该仪器使教职员工、本科生和研究生以及区域工业参与者之间的协作材料研究能够进行突破性的研究。它允许建立机构间和机构内的研究合作。其次,该工具通过为本科生和研究生提供充足的机会从事研究项目、课程作业或论文项目,帮助发展多个项目,例如材料科学与工程项目,直接影响技术劳动力的培训该地区。第三,许多研究人员(包括女性和代表性不足的少数族裔教师和学生)通过已建立的大学和学院项目使用该工具。这为来自科学和工程领域通常代表性不足的群体的研究人员提供了更好的经验、更强有力的培训和更多机会。最后,该仪器满足了当地先进材料研究和培训的需求,从而增加了与当地产业的互动,对地区的经济增长产生了更大的影响。技术描述:收购的SPM系统结合了超高分辨率成像、纳米电学测量、纳米力学表征和纳米电化学分析,用于研究空气、流体、电场或化学反应环境中的各种材料系统。凭借这些先进的功能,该仪器可实现五个关键研究领域的研究项目:(1)表面形态和纳米材料研究; (2)功能材料、柔性电子与传感器; (三)电化学、能源材料与器件、防护涂层; (4)生物及生物医学材料、生命科学; (5) 增材制造、建筑和结构材料。该奖项反映了 NSF 的法定使命,并通过使用基金会的智力优势和更广泛的影响审查标准进行评估,被认为值得支持。
项目成果
期刊论文数量(4)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
CO2 to Value-Added Chemicals: Synthesis and Performance of Mono- and Bimetallic Nickel–Cobalt Nanofiber Catalysts
二氧化碳转化为增值化学品:单金属和双金属镍钴纳米纤维催化剂的合成和性能
- DOI:10.3390/catal13061017
- 发表时间:2023-06
- 期刊:
- 影响因子:3.9
- 作者:Schossig, John;Gandotra, Akash;Arizapana, Kevin;Weber, Daniel;Wildy, Michael;Wei, Wanying;Xu, Kai;Yu, Lei;Chimenti, Robert;Mantawy, Islam;et al
- 通讯作者:et al
Carbon Nanosphere-Encapsulated Fe Core–Shell Structures for Catalytic CO 2 Hydrogenation
碳纳米球封装的铁核壳结构用于催化CO 2 加氢
- DOI:10.1021/acsanm.2c02602
- 发表时间:2022-08
- 期刊:
- 影响因子:5.9
- 作者:Weber, Daniel;Rui, Ning;Zhang, Feng;Zhang, Heng;Vovchok, Dimitriy;Wildy, Michael;Arizapana, Kevin;Saporita, Alexa;Zhang, Jin Zhong;Senanayake, Sanjaya D.;et al
- 通讯作者:et al
Unraveling the Rheology of Nanocellulose Aqueous Suspensions: A Comprehensive Study on Biomass-Derived Nanofibrillated Cellulose
揭示纳米纤维素水悬浮液的流变学:生物质衍生的纳米原纤化纤维素的综合研究
- DOI:10.32604/jrm.2023.030412
- 发表时间:2023-01
- 期刊:
- 影响因子:0
- 作者:Miao, Mingyue;Wang, Fei;Li, Qing;Tao, Longchen;Dai, Chenchen;Liu, Yu;Han, Shujuan;Chen, Wenshuai;Lu, Ping
- 通讯作者:Lu, Ping
Advancing Nanofiber Research: Assessing Nonsolvent Contributions to Structure Using Coaxial Electrospinning
推进纳米纤维研究:使用同轴静电纺丝评估非溶剂对结构的贡献
- DOI:10.1021/acs.langmuir.3c01038
- 发表时间:2023-08-08
- 期刊:
- 影响因子:3.9
- 作者:Wei, Wanying;Wildy, Michael;Xu, Kai;Schossig, John;Hu, Xiao;Hyun, Dong Choon;Chen, Wenshuai;Zhang, Cheng;Lu, Ping
- 通讯作者:Lu, Ping
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Ping Lu其他文献
Concentrations, Sources, and Risk Assessment of Polychlorinated Biphenyls in Vegetables Near a Waste-Incinerator Site, South China
华南垃圾焚烧厂附近蔬菜中多氯联苯的浓度、来源和风险评估
- DOI:
10.1007/s00244-014-0045-3 - 发表时间:
2014-05-14 - 期刊:
- 影响因子:4
- 作者:
Lixuan Zeng;Ning Li;D. Shao;Yuan Kang;Qiuyun Zhang;Ping Lu;Laisheng Li;Jiwen Luo;Xingmei Guo - 通讯作者:
Xingmei Guo
Dissipation, residues, and risk assessment of imidacloprid in Zizania latifolia and purple sweet potato under field conditions using LC-MS/MS
使用 LC-MS/MS 进行田间条件下吡虫啉在茭白和紫甘薯中的消散、残留和风险评估
- DOI:
10.1080/03601234.2018.1531661 - 发表时间:
2018-11-21 - 期刊:
- 影响因子:0
- 作者:
Yurong Yu;Shouyi Wang;Qingtao Zhang;Ya Yang;Ya Chen;Xiangwu Liu;Caiwei Feng;D. Hu;Ping Lu - 通讯作者:
Ping Lu
Optomechanically Mode-Locked Laser Sensor for High-Accuracy Temperature Measurement
用于高精度温度测量的光机锁模激光传感器
- DOI:
10.1109/jsen.2023.3332847 - 发表时间:
2024-01-01 - 期刊:
- 影响因子:4.3
- 作者:
Shaonian Ma;Yuxi Pang;Qiang Ji;Xian Zhao;Zengguang Qin;Zhaojun Liu;Ping Lu;Xiaoyi Bao;Yanping Xu - 通讯作者:
Yanping Xu
Auxiliary Storage and Dynamic Configuration for Open Cloud Storage
开放云存储的辅助存储和动态配置
- DOI:
- 发表时间:
2011 - 期刊:
- 影响因子:0
- 作者:
Jincai Chen;Yangfeng Huang;Minghui Lai;Ping Lu - 通讯作者:
Ping Lu
Spoken language identification using score vector modeling and support vector machine
使用得分向量建模和支持向量机进行口语识别
- DOI:
10.21437/interspeech.2007-82 - 发表时间:
2024-09-14 - 期刊:
- 影响因子:0
- 作者:
Ming Li;Hongbin Suo;Xiao Wu;Ping Lu;Yonghong Yan - 通讯作者:
Yonghong Yan
Ping Lu的其他文献
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