EPSRC Core Capital University of York

约克大学提议购买下列核心资本设备：该设备将支持环境与地理和化学部门的合作研究。购买这些设备不仅将提供急需的老化TGA设备目前安置在我们的化学系更换，但更重要的是，将提高该设备的研究能力，在整个大学更广泛地使用。许多多学科合作项目都迫切需要这种类型的分析，其应用领域包括可持续聚合物、催化、纳米颗粒、碳捕获、碳封存等。能量色散X射线（EDX）光谱是一种强大的电子显微镜技术，可以获得有机和无机材料的化学信息/性质，以及空间分辨率低至纳米级的设备。因此，它是一个不可或缺的和最通用的工具，用于快速和可靠的分析，在散装和纳米材料的研究。目前X射线固态探测器（SDD）的进步与快速数据处理电子和软件相结合，可以在化学元素分析中提供无与伦比的速度和灵敏度。该提案要求为位于约克-JEOL纳米中心的JEOL 7800 F扫描电子显微镜（SEM）提供双大面积固态探测器的资金。大型SDD传感器将允许在同一时间内收集超过20倍的数据，而不会损失准确性。扫描电子显微镜能够扫描从毫米到纳米大小的区域，这将允许对更大区域进行化学绘图，在每个数据点上具有更好的统计数据，更快地收集数据，并研究最小的纳米结构。|英特尔至强白金（96个物理内核）），用于约克的多用户高级研究计算集群（维京海盗），并由额外的Linux服务器提供支持。超高内存计算节点正在成为所有科学分支的游戏规则改变者，因为它们允许前所未有的并行计算和最大强度的数据分析。然而，在英国国家设施中访问超高RAM节点几乎是不存在的（例如，英国顶级国家超级计算服务ARCHER中最强的节点仅限于128 GB RAM）。所要求的核心设备旨在通过额外的“巨型节点”（1.5 TB RAM）来扩展和补充维京海盗（约克大学富有远见的HPC研究计算设施），以帮助建立一个世界级的设施，这将有利于约克的计算研究基础。超高RAM设施将有利于约克大学广泛的物理科学（特别是量子科学，聚变和材料研究），电子学，计算机科学和生物学研究。这些服务器将作为新用户的培训基地，使他们的研究适应计算研究，学习Linux和编程，并提供使用维京海盗、区域和国家资源（如Bede和Archer 2）的入口。这些服务器将提供灵活的计算资源，以支持重点从实验室转向计算研究的研究人员

The University of York proposes to purchase the following items of core capital equipment:A Thermogravimetric analysis gas chromatograph mass spectrometer (TGA-GCMS). This equipment will support collaborative research across the Departments of Environment & Geography and Chemistry. The purchase of this equipment will not only provide a much needed replacement of ageing TGA equipment currently housed in our Chemistry department, but more importantly, would enhance the research capability of that equipment for wider use across the university. There is a critical need for this type of analysis in a number of multi-disciplinary collaborative projects with application in areas such as sustainable polymers, catalysis, nanoparticles, carbon capture, carbon sequestration.Energy dispersive X-ray (EDX) spectroscopy is a powerful electron microscopy technique to obtain chemical information/properties of both organic and inorganic materials as well as devices with spatial resolution down to nm scale. Hence, it is an indispensable and most versatile tool for fast and reliable analysis in bulk and nano-materials research. Current advances in X-ray solid state detectors (SDD) in combination with fast data processing electronics and software, can deliver unparalleled speed and sensitivity in chemical elemental analysis. This proposal requests funds for dual large area solid-state detectors for our JEOL7800F Scanning Electron Microscope (SEM) housed in our York-JEOL Nanocentre. The large SDD sensors will allow >20 times more data to be collected in the same time with no loss of accuracy. The ability of SEM to raster the electron beam from millimetre to nanometre-sized areas will allow chemical mapping of larger areas, have better statistics in each data point, collect data much faster, and investigate the smallest nano-structures.Ultra-high-memory computational node (1.5 TB RAM | Intel Xeon Platinum (96 physical cores)) for York's multi-user advanced research computing cluster (VIKING) underpinned by additional Linux servers. Ultra-high memory compute nodes are emerging as a game-changer in all branches of science because they allow unprecedented parallel computations and data analysis with maximum intensity. However, access to ultra-high-RAM nodes at UK national facilities is virtually nonexistent (e.g. the strongest nodes in ARCHER, UK's top national supercomputing service, are limited to 128 GB RAM). The requested core equipment aims at expanding and complementing VIKING (University of York's visionary HPC research computing facility) with an additional "giant node" (1.5 TB RAM) to help establish a world-class facility that will benefit York's base of computational research. The ultra-high-RAM facility will benefit a wide range of Physical Sciences (specifically quantum science, fusion and materials research), Electronics, Computer Science and Biology research at the University of York. The servers will act as a training ground for new users adapting their research towards computational studies, to learn Linux and programming and provide an entry to use of Viking, regional and national resources such as Bede and Archer2. The servers will provide a flexible compute resource, to support researchers whose emphasis is shifting from laboratory to computational research