EPSRC Core Capital University of York

约克大学拟采购以下核心资金设备：热重分析气相色谱仪（TGA-GCMS）一台。该设备将支持环境、地理和化学系之间的合作研究。购买这台设备不仅将为我们化学系老化的TGA设备提供急需的替代品，更重要的是，将提高该设备在全校范围内广泛使用的研究能力。在一些多学科合作项目中，如可持续聚合物、催化、纳米颗粒、碳捕获、碳封存等领域的应用都迫切需要这种类型的分析。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尺度的器件。因此，它是块体和纳米材料研究中快速可靠分析不可或缺的最通用的工具。x射线固态探测器（SDD）的最新进展与快速数据处理电子设备和软件相结合，可以在化学元素分析中提供无与伦比的速度和灵敏度。该提案要求为我们的JEOL7800F扫描电子显微镜（SEM）提供双大面积固态探测器的资金，该扫描电子显微镜位于我们的York-JEOL纳米中心。大型SDD传感器将允许在相同时间内收集20倍以上的数据，而不会损失精度。扫描电子显微镜能够将电子束从毫米级光栅化到纳米级，这将允许对更大的区域进行化学测绘，在每个数据点上有更好的统计数据，更快地收集数据，并研究最小的纳米结构。超高内存计算节点（1.5 TB RAM | Intel Xeon Platinum（96个物理核）），用于约克的多用户高级研究计算集群（VIKING），支持额外的Linux服务器。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，访问英国国家设施的超高内存节点实际上是不存在的（例如，英国顶级国家超级计算服务ARCHER中最强的节点被限制为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）扩展和补充VIKING（约克大学有远见的高性能计算研究计算设施），以帮助建立一个世界级的设施，这将使约克大学的计算研究基地受益。超高内存设施将使约克大学的物理科学（特别是量子科学、核聚变和材料研究）、电子学、计算机科学和生物学研究广泛受益。这些服务器将作为一个训练基地，让新用户将他们的研究转向计算研究，学习Linux和编程，并提供使用Viking、地区和国家资源（如Bede和Archer2）的入口。服务器将提供灵活的计算资源，以支持研究人员的重点从实验室转移到计算研究

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