NRT: Transformative Research and Graduate Education in Sensor Science, Technology and Innovation

NRT：传​​感器科学、技术和创新领域的变革性研究和研究生教育

• 批准号: 2125733
• 负责人: Eric Fossum
• 金额: $ 300万
• 依托单位: Dartmouth College
• 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 2026-08-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2125733&HistoricalAwards=false
• 关键词: NRT; Transformative; Research; Graduate; Education

Sensors impact the lives of nearly every human being, from image sensors that have revolutionized digital cameras and social communication to biosensors that rapidly detect and monitor disease. Our understanding of life, our planet, and the universe has constantly improved through new sensor technology, from astrophysics to cell biology. Advances in sensor technology rely on understanding the fundamental physics of sensing, developing advanced materials and electronics, and creating methods for processing data. This National Science Foundation Research Traineeship (NRT) award to Dartmouth College will create a comprehensive graduate traineeship that integrates basic and applied research in sensor science and technology with student-centered STEM research and education focused on Innovation and Entrepreneurship. The research will integrate the foundations of sensor physics and materials with device development and sensor applications across the science and engineering disciplines. This will enable trainees to perform research needed to develop new sensors and platform technologies for scientific discovery, health and medicine, remote sensing, transportation, sustainable energy, defense, and many other fields. The education component will provide depth in an engineering or science discipline as well as professional development that emphasizes technology transfer and innovation to prepare trainees to become global leaders in the sensor technology arena. New pathways in STEM graduate education across Dartmouth will focus on translating science and technology research to commercial products or services that ultimately benefit society. This NRT program will train 129 MS and Ph.D. students, including 19 funded trainees across biology, chemistry, computer science, engineering, and physics. Faculty members from Dartmouth’s biology, chemistry, and physics departments will join computer science and engineering faculty to prepare trainees to carry out transdisciplinary research. Research topics will span the continuum from the fundamental understanding of sensor physics and materials science (e.g., quantum information and the quantum limits of sensing; interactions of small molecules with materials; and development of optoelectronic materials, nanomaterials, and nanostructures) to the applications of sensor innovations. The student-centric program will be supported by training of faculty in mentoring and by adoption of a comprehensive professional development curriculum. Informed by assessment data, the project team will disseminate outcomes, insights and practices through publications and attendance at meetings, and by providing access to online resources. The NSF Research Traineeship (NRT) Program is designed to encourage the development and implementation of bold, new potentially transformative models for STEM graduate education training. The program is dedicated to effective training of STEM graduate students in high priority interdisciplinary or convergent research areas through comprehensive traineeship models that are innovative, evidence-based, and aligned with changing workforce and research needs.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.

传感器影响着几乎每个人的生活，从彻底改变数码相机和社交通信的图像传感器到快速检测和监测疾病的生物传感器。通过新的传感器技术，从天体物理学到细胞生物学，我们对生命、地球和宇宙的理解不断提高。 传感器技术的进步依赖于理解传感的基本物理学，开发先进的材料和电子器件，以及创建处理数据的方法。这个国家科学基金会研究培训（NRT）奖给达特茅斯学院将创建一个全面的研究生培训，将传感器科学和技术的基础和应用研究与以学生为中心的STEM研究和教育相结合，重点是创新和创业。该研究将整合传感器物理和材料的基础，以及跨科学和工程学科的设备开发和传感器应用。 这将使学员能够进行研究，为科学发现，健康和医学，遥感，运输，可持续能源，国防和许多其他领域开发新的传感器和平台技术。 教育部分将提供工程或科学学科的深度以及强调技术转让和创新的专业发展，使受训者成为传感器技术竞技场的全球领导者。达特茅斯STEM研究生教育的新途径将侧重于将科学和技术研究转化为最终造福社会的商业产品或服务。 该NRT计划将培养129名MS和博士。学生，其中包括19名生物学、化学、计算机科学、工程和物理学领域的受资助学员。 来自达特茅斯的生物、化学和物理系的教师将加入计算机科学和工程系，为学员进行跨学科研究做准备。研究主题将跨越传感器物理和材料科学的基本理解的连续体（例如，量子信息和传感的量子极限;小分子与材料的相互作用;以及光电材料、纳米材料和纳米结构的发展）到传感器创新的应用。以学生为中心的计划将得到教师指导培训和全面专业发展课程的支持。根据评估数据，项目小组将通过出版物和出席会议以及提供在线资源来传播成果、见解和做法。 NSF研究培训（NRT）计划旨在鼓励为STEM研究生教育培训开发和实施大胆的，新的潜在变革模式。该计划致力于通过创新的、基于证据的、与不断变化的劳动力和研究需求相一致的综合培训模式，在高优先级的跨学科或融合研究领域对STEM研究生进行有效培训。该奖项反映了NSF的法定使命，并通过使用基金会的智力价值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

VERITAS Discovery of Very High Energy Gamma-Ray Emission from S3 1227+25 and Multiwavelength Observations

• DOI: 10.3847/1538-4357/acd2d0
• 发表时间: 2023-05
• 期刊: The Astrophysical Journal
• 作者: A. Acharyya;C. Adams;A. Archer;P. Bangale;W. Benbow;A. Brill;J. Christiansen;A. Chromey;M. Errando;A. Falcone;Q. Feng;J. Finley;G. Foote;L. Fortson;A. Furniss;G. Gallagher;W. Hanlon;D. Hanna;O. Hervet;C. Hinrichs;J. Hoang;J. Holder;Weidong Jin;Madalyn Johnson;P. Kaaret;M. Kertzman;D. Kieda;T. Kleiner;N. Korzoun;F. Krennrich;Mark Lang;Matt Lundy;G. Maier;Conor McGrath;M. Millard;J. Millis;Connor Mooney;P. Moriarty;R. Mukherjee;S. O’Brien;R. Ong;M. Pohl;E. Pueschel;J. Quinn;K. Ragan;Paul Reynolds;D. Ribeiro;E. Roache;I. Sadeh;A. Sadun;L. Saha;M. Santander;G. Sembroski;R. Shang;M. Splettstoesser;A. Talluri;J. Tucci;V. Vassiliev;David Williams;S. Wong;T. Hovatta;S. Jorstad;S. Kiehlmann;A. Lahteenmaki;I. Liodakis;A. Marscher;W. Max-Moerbeck;A. Readhead;R. Reeves;Paul S. Smith;M. Tornikoski

Experimental Verification of PCH-EM Algorithm for Characterizing DSERN Image Sensors

用于表征 DSERN 图像传感器的 PCH-EM 算法的实验验证

• DOI: 10.1109/jeds.2023.3290131
• 发表时间: 2023
• 期刊: IEEE Journal of the Electron Devices Society
• 影响因子: 2.3
• 作者: Hendrickson, Aaron J.;Haefner, David P.;Shade, Nicholas R.;Fossum, Eric R.
• 通讯作者: Fossum, Eric R.