Conference: Participant Support for The 7th World Congress on Integrated Computational Materials Engineering (ICME); Orlando, Florida; 21-25 May 2023
Conference: Participant Support for The 7th World Congress on Integrated Computational Materials Engineering (ICME); Orlando, Florida; 21-25 May 2023
批准号:
2316628
负责人:
Michael Rawlings
金额:
$1.5万
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
项目状态:
已结题
起止时间:
2023-03-15 至 2024-02-29
中文摘要
该奖项为在美国学习和工作的约15名学生,博士后研究员和早期职业专业人士提供注册,参加2023年5月21日至25日在佛罗里达奥兰多举行的第七届集成计算材料工程世界大会(ICME 2023),由矿物,金属材料协会(TMS)组织。其目标是扩大研究生,博士后研究员,早期职业专业人士,来自代表性不足的社区和女性的参与者,以及渴望更多地了解集成计算材料工程(ICME)领域的本科生的参与。在选择过程中将考虑到代表性不足的群体的成员,参与者所代表的机构的多样性,以及工程项目的多样性。其目的是展示该领域的最新研究,促进跨学科讨论,并增加对ICME感兴趣的美国研究人员的渠道,该研究在材料设计,结构和功能材料行为,先进制造,能量存储和转换等多个领域都有应用。以及人工智能和机器学习。集成计算材料工程世界大会于2015年10月12日至14日在北京举行。自2011年成立以来,每年在地球仪的不同城市举办。它被认为是集成计算材料工程领域的世界顶级会议。ICME是一种跨学科的方法,为特定应用设计材料解决方案,使用计算机建模程序来预测材料的行为,并将此信息集成到整个材料,加工和制造设计周期中。这种集成方法是材料基因组计划(MGI)的基础支柱之一,该计划将计算和数据技术与传统材料科学和工程相结合,以“两倍的速度和成本”加速先进材料的发现,开发和部署。本次会议汇集了来自全国各地和国际上的研究人员,分享他们的研究成果,培养和发展新的合作理念,并推动新一代科学家和研究人员的专业发展,他们拥有现代化的综合技能,可用于解决影响社会的材料挑战。会议将包括15个专题讨论会,涉及9个主题领域,将介绍最新和最新的研究成果。本次会议由CMMI部门的材料与结构力学(MOMS)和先进制造(AM)计划资助,凝聚态物质和材料理论(CMMT)和金属和金属纳米结构(MMN)该奖项反映了NSF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。
英文摘要
This award provides registration for approximately 15 students, postdoctoral fellows and early-career professionals studying and working in the US to attend the 7th World Congress on Integrated Computational Materials Engineering (ICME 2023), Orlando, Florida, 21-25 May 2023, organized by The Minerals, Metals & Materials Society (TMS). The objective is to broaden the participation from graduate students, postdoctoral fellows, early-career professionals, participants from underrepresented communities and women, and undergraduate students that aspire to learn more about the field of Integrated Computational Materials Engineering (ICME). Consideration in the selection process will be given to the inclusion of members of underrepresented groups, diversity of institutions that the participants represent, and diversity of programs within engineering. The aim is to showcase the latest research in the field, facilitate interdisciplinary discussions and grow the pipeline of US researchers interested in ICME, which has applications in several fields including materials design, structural and functional materials behavior, advanced manufacturing, energy storage and conversion, and artificial intelligence and machine learning.The World Congress on Integrated Computational Materials Engineering is held bi-annually in different cities around the globe since its inception in 2011. It is considered the world’s premier conference in the field of Integrated Computational Materials Engineering. ICME is an interdisciplinary approach to designing materials solutions for specific applications that use computer modeling programs to predict the behavior of materials and integrate this information into the overall materials, processing, and manufacturing design cycle. This integrated approach is one of the foundational pillars of Materials Genome Initiative (MGI), which combines and leverages computation and data techniques with traditional materials science and engineering to accelerate the discovery, development, and deployment of advanced materials “twice as fast and at a fraction of the cost.” This conference brings together researchers from across the nation and internationally to share their research findings, foster and develop new collaborative ideas, and advance the professional development of a new generation of scientists and researchers with a modern, integrated skillset which can be used to address the materials challenges that impact society. The conference will include 15 symposia across 9 topical areas where the most recent and novel research will be presented.This conference support is funded by the Mechanics of Materials and Structures (MOMS) and Advanced Manufacturing (AM) programs in the CMMI Division, and the Condensed Matter and Materials Theory (CMMT) and Metals and Metallic Nanostructures (MMN) programs in the DMR Division.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.
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