MRI: Acquisition of High Performance Computer Cluster for Multidisciplinary Computational Research and Education

该项目获得了一个高性能计算机集群，旨在实现特定学科和跨学科计算密集型科学研究，包括但不限于化学物理，材料科学，生物信息学，生态研究，基因组研究，形态科学，海洋建模，数学认知分析等领域。它还将用于新一代计算研究人员的教育。该仪器将由来自物理，数学，生物科学，材料工程，心理学和社区卫生的12多名教师使用，并将影响STEM学科的数百名学生。许多特定学科和跨学科的研究项目将利用该仪器来进一步实现他们的研究目标。在计算化学物理方面的努力为改进燃烧模型提供了新的机制。材料建模，方法和软件开发将产生改进的方法来模拟设备故障。微滤、纳米流体研究和3D海洋建模将推动石油勘探研究。对大规模微生物生态学数据的高通量注释和分析将深入了解肠道微生物在人类健康中的作用，颅面生长的预测模型将改善临床药理学的当前实践。该工具强烈影响了研究与STEM教育的整合，从而为研究人员和学生提供了一个智力平台。该集群将是WSU新开发的跨学科应用科学和数学博士课程的主要教育工具，可能会影响许多学科的本科生和研究生水平的数百名学生。这将是代顿地区第一次为计算科学家提供多处理器计算基本工具和技术的教育和培训。以学生为中心，以研究为基础，务实的多学科课程，由提案团队共同教授，基于研究性学习方法，将为教学计算概念和工具提供教育平台，用于在STEM研究中应用数值方法。该项目有助于发展计算技能的劳动力，从而在WSU建立一个更强大的计算社区，并加强WSU与该地区其他大学在计算教育方面的伙伴关系。进入集群有利于开发和部署计算/计算注入课程的努力，从而扩大了科学领域的参与。

This project, acquiring a high performance computer cluster, aims to enable discipline-specific and inter-disciplinary computing intensive scientific research in the areas of, but not limited to, chemical physics, material science, bioinformatics, ecological research, genomic research, morphological sciences, ocean modeling, mathematical cognition analysis, and many more. It will also be used for the education of new generation computational researchers. The instrument will be used by more than 12-faculty members from Physics, Mathematics, Biological Sciences, Materials Engineering, Psychology and Community Health, and, will impact hundreds of students in the STEM disciplines.Numerous discipline-specific and interdisciplinary research programs will leverage this instrument to further their research goals. Efforts in computational chemical physics provide insights into new mechanisms to improve combustion modeling. Materials modeling, methods and software development will generate improved ways to model device failures. Microfiltration, nanofluidics research, and, 3D ocean modeling will advance oil exploration research. High-throughput annotation and analysis of large-scale microbial ecology data will provide insight into the role of gut microbes in human health, and prediction models for craniofacial growth will improve current practices within clinical orthodontics. This instrument strongly impacts the integration of research into STEM education, thus, providing an intellectual platform for researchers and students. The cluster will be the primary educational tool for WSU's newly developed Interdisciplinary Applied Science and Mathematics PhD program, potentially impacting hundreds of students at both the undergraduate and graduate levels across many disciplines. It will be the first of its kind in the Dayton region to provide education and training on the basic tools and techniques of multiprocessor computing for computational scientists A student-centered, research-based, pragmatic multi-disciplinary course, co-taught by the proposal team, based on an investigative learning approach will provide an educational platform for teaching computational concepts and tools for applying numerical methods in STEM research. The project contributes to developing a computationally skilled workforce, thus, building a stronger computing community at WSU and strengthening WSU's partnerships in computing education with other universities in the area. Access to the cluster benefits efforts to develop and deploy computational/computing-infused courses and consequently broadens participation in the area of scientific