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（高年级研究生和博士后学者）提供了一个在2023年10月1日至4日在俄亥俄州哥伦布举行的材料科学技术2023（MS T23）会议上的增材制造建模，仿真和机器学习研讨会（AMMSML）上展示研究的机会。增材制造建模，仿真和机器学习研讨会是MS T23会议的关键研讨会之一，由矿物，金属材料协会（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主办。增材制造通过设计和制造创新、个性化医疗保健产品和增强供应链继续产生重大的社会影响。数据驱动的方法，如机器学习，为解决与理解和实践增材制造相关的挑战提供了巨大的机会。尽管做出了广泛的努力，但在基于物理的模型制定、实验验证和机器学习应用方面仍然存在挑战。AMMSML研讨会将作为一个独特的平台，分享与这些主题相关的最新研究和发展。该奖项的目的是通过提供参与者支持，让选定的学生和博士后学者在AMMSML研讨会上进行技术演示，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，提高沟通和演讲技巧，增加他们的网络曝光率，了解新兴的研究，并受到启发，为增材制造和/或机器学习的职业生涯做准备。赠款机会将通过专业组织和相关媒体宣布，以接触广泛的受众，并最大限度地发挥其影响。该项目将特别努力，以达到学生和博士后学者从代表性不足的群体时，广播这个机会，针对他们的参与，并最终保留在与先进制造业相关的职业生涯。这个奖项反映了NSF的法定使命，并已被认为是值得的支持，通过评估使用基金会的智力价值和更广泛的影响力审查标准。