SVis:用于表面结构确定的计算转向可视化环境

J. Hernando, J. Martínez, V. Martín, M. López, J. Martín-Gago
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引用次数: 1

摘要

固体表面原子的排列决定了它的许多特性:硬度、化学活性、腐蚀等都是由精确的表面结构决定的。因此,发现它具有广泛的技术和工业应用。解决这一问题的能力开启了用计算机设计具有特定应用特性的材料的可能性。由于搜索空间随着原子数量的增加呈指数增长,对于任意大的结构无法得到其解。目前采用的是试错法:专家提出一个结构作为候选解,并对其进行局部优化。解松弛到初始点对应的吸引子池中的局部极小值,这个极小值可能是全局极小值,也可能不是。这个过程非常耗时,对于合理大小的表面,可能需要专家进行多次迭代和大量工作。在这里,我们报告一个可视化环境,旨在引导这个过程,试图解决更大的结构,并减少所需的时间。这个想法是使用一个沉浸式的环境来与计算交互。它有即时反馈来评估所提出的结构的质量,以便让专家探索候选解的空间。可视化环境还能够与用于此问题的实际本地求解器进行通信。然后,用户可以将试验结构发送给局部最小化器,并在接近最小值时跟踪其进度。这允许同时测试候选结构。该系统也被证明是非常有用的教育工具的领域。
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SVis: A Computational Steering Visualization Environment for Surface Structure Determination
The arrangement of atoms at the surface of a solid accounts for many of its properties: Hardness, chemical activity, corrosion, etc. are dictated by the precise surface structure. Hence, finding it, has a broad range of technical and industrial applications. The ability to solve this problem opens the possibility of designing by computer materials with properties tailored to specific applications. Since the search space grows exponentially with the number of atoms, its solution cannot be achieved for arbitrarily large structures. Presently, a trial and error procedure is used: an expert proposes an structure as a candidate solution and tries a local optimization procedure on it. The solution relaxes to the local minimum in the attractor basin corresponding to the initial point, that might be the one corresponding to the global minimum or not. This procedure is very time consuming and, for reasonably sized surfaces, can take many iterations and much effort from the expert. Here we report on a visualization environment designed to steer this process in an attempt to solve bigger structures and reduce the time needed. The idea is to use an immersive environment to interact with the computation. It has immediate feedback to assess the quality of the proposed structure in order to let the expert explore the space of candidate solutions. The visualization environment is also able to communicate with the de facto local solver used for this problem. The user is then able to send trial structures to the local minimizer and track its progress as they approach the minimum. This allows for simultaneous testing of candidate structures. The system has also proved very useful as an educational tool for the field.
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