Early-career Participant Support for Additive Manufacturing Modeling, Simulation, and Machine Learning Symposium at MS&T 2023; Columbus, Ohio; October 1- 4, 2023

MS 增材制造建模、仿真和机器学习研讨会的早期职业参与者支持

• 批准号: 2334074
• 负责人: Jing Zhang
• 金额: $ 0.98万
• 依托单位: Indiana University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-08-01 至 2024-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2334074&HistoricalAwards=false
• 关键词: Early; career; Participant; Support; Additive

This award provides early-career participants (senior graduate students and post-doctoral scholars) with an opportunity to present research at the Symposium of Additive Manufacturing Modeling, Simulation, and Machine Learning (AMMSML) at the Materials Science & Technology 2023 (MS&T23) conference in Columbus, Ohio, held October 1-4, 2023. The Symposium of Additive Manufacturing Modeling, Simulation, and Machine Learning is one of the key symposia at the MS&T23 conference, sponsored by the Minerals, Metals & Materials Society (TMS) Additive Manufacturing Committee, the Integrated Computational Materials Engineering Committee, and the Computational Materials Science and Engineering Committee. Additive manufacturing continues to have significant societal impact through design and manufacturing innovation, personalized healthcare products, and enhancement of supply chains. Data-driven approaches such as machine learning, offer tremendous opportunities to tackle challenges associated with understanding and practicing additive manufacturing. Despite extensive efforts, challenges still exist in physics-based model formulation, experimental validation, and machine learning applications. The AMMSML symposium will serve as a unique platform to share the latest research and development related to these topics.The objective of this award, through providing participant support, is for the selected students and post-doctoral scholars to make technical presentations at the AMMSML symposium and interact with leading experts in the field. The awardees will have the opportunity to showcase their research, improve communication and presentation skills, increase their networking exposure, learn about emerging research, and be inspired to prepare for a career in additive manufacturing and/or machine learning. The grant opportunity will be announced through professional organizations and relevant media to reach out to a broad audience and maximize its impact. The project will make a special effort to reach out to students and post-doctoral scholars from underrepresented groups when broadcasting this opportunity, targeting their involvement and ultimately retention in careers related to advanced manufacturing.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.

该奖项为早期职业参与者（高级研究生和博士后学者）提供了在添加剂制造建模，模拟和机器学习研讨会上进行研究的机会由矿物，金属与材料协会（TMS）增材制造委员会，集成计算材料工程委员会和计算材料科学与工程委员会赞助的MS＆T23会议上的研讨会。通过设计和制造创新，个性化的医疗产品以及增强供应链的增强，增材制造业继续产生重大的社会影响。数据驱动的方法（例如机器学习）提供了巨大的机会来应对与理解和实践增材制造相关的挑战。尽管做出了广泛的努力，但基于物理的模型制定，实验验证和机器学习应用仍存在挑战。 AMMSML研讨会将是一个独特的平台，可以分享与这些主题相关的最新研究和开发。通过提供参与者的支持，该奖项的目的是为选定的学生和博士后学者提供在AMMSML研讨会上进行技术演示的，并与该领域的领先专家进行互动。获奖者将有机会展示他们的研究，提高沟通和演示能力，提高网络敞口，了解新兴研究，并受到启发，为在添加剂制造和/或机器学习中的职业做准备。赠款机会将通过专业组织和相关媒体宣布，以吸引广泛的受众并最大程度地发挥其影响。该项目将在广播这个机会时与人数不足的团体的学生和博士后学者接触，以他们的参与并最终保留与高级制造业相关的职业。该奖项反映了NSF的法定任务，并通过使用该基金会的知识优点和广泛的影响来评估NSF的法定任务，并被认为是值得的支持。