RII Track-1: Louisiana Materials Design Alliance (LAMDA)

这个被称为LAMDA的项目旨在提高使用先进制造方法的美国工业的全球竞争力，特别是增材制造（也称为3D打印）。增材制造工艺通常是通过逐层添加材料，从计算机辅助设计模型构建三维（3D）物体。分层材料通常是金属或聚合物。由于分层过程可能会引入缺陷，因此需要进行研究，以提高对增材制造过程以及用于分层的金属和塑料的理解。LAMDA将通过使用机器学习来改进金属和聚合物的设计，从而在增材制造中提供卓越的性能，从而实现这项研究。该项目的最终用户输入将由来自美国各地的工业制造和航空航天领导者提供。LAMDA的教育产品将包括新的课程和课程模块，以及一个工业支持的技术演示测试平台。该项目的研究活动将与一个雄心勃勃的议程相结合，让全州各级学生和教师参与有针对性的活动，从而培养一支训练有素、更多样化的STEM劳动力队伍。LAMDA汇集了路易斯安那州的几家公立和私立学术机构，在增材制造的背景下，对成分、加工、微观结构、性能和结构完整性之间的复杂关系产生基本的见解。机器学习将加速这一目标的实现。LAMDA的研究将专注于设计复杂的浓缩合金和热固性形状记忆聚合物，专门用于增材制造应用。LAMDA的科学愿景是建立用于增材制造的新型复杂浓缩合金和热固性形状记忆聚合物的设计框架，具有所需的性能和结构完整性、可靠性和耐久性。为了实现这一愿景，将采用机器学习引导的方法来导航扩展的组合空间以实现设计目标。LAMDA项目将在参与机构之间建立新的合作关系，并与联邦机构和行业建立新的伙伴关系，在路易斯安那州建立专注于增材制造的可持续研究和教育项目。LAMDA将通过一系列活动增加路易斯安那州的STEM劳动力，包括本科生的扩展/反向研究经验，本科生和研究生及博士后的专业发展，本科和研究生教育的课程模块开发，新教师的招聘和指导，以及社区大学教育工作者的培训。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

This project, known as LAMDA, aims to improve the global competitiveness of U.S. industries that use advanced manufacturing methods, specifically additive manufacturing (which is also known as 3D printing). The additive manufacturing process builds a three-dimensional (3D) object from a computer-aided design model, usually by successively adding material layer by layer. The layering material is commonly metal or polymer. Because the layering process can introduce defects, research is needed to improve both the understanding of the additive manufacturing process and the metals and plastics used for layering. LAMDA will achieve this research by using machine learning to improve the design of metals and polymers that give superior performance when used in additive manufacturing. End-user input for the project will be provided by industrial manufacturing and aerospace leaders from across the U.S. LAMDA’s education products will include new courses and course modules, as well as an industry-supported technology demonstration testbed. The project’s research activities will be integrated with an ambitious agenda to engage students and faculty of all levels across the state with targeted activities that will lead to a better-trained, more diverse STEM workforce. LAMDA brings together several of Louisiana’s public and private academic institutions to generate fundamental insights into the complex relationships among composition, processing, microstructure, performance, and structural integrity within the context of additive manufacturing. Achievement of this objective will be accelerated by using machine learning. LAMDA research will focus on designing complex concentrated alloys and thermoset shape memory polymers specifically for additive manufacturing applications. The scientific vision of LAMDA is to build the design framework for new complex concentrated alloys and thermoset shape memory polymers for additive manufacturing with required performance and structural integrity, reliability, and durability. To realize this vision, a machine-learning-guided approach will be employed to navigate extended compositional spaces towards the design goals. The LAMDA project will forge new collaborations among participating institutions and establish new partnerships with federal agencies and industries to build sustainable research and education programs in Louisiana focused on additive manufacturing. LAMDA will grow the Louisiana STEM workforce with a series of activities including extended/reverse research experiences for undergraduates, professional development for undergraduate and graduate students and post-doctoral fellows, course module development for undergraduate and graduate education, hiring and mentoring of new faculty, and training for community college educators.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.