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All sourcesNASA NTRSDOE OSTI
DOE OSTI2020

Materials Data on CsS3 by Materials Project

SSSCs crystallizes in the triclinic P-1 space group. The structure is three-dimensional. there are two inequivalent Cs1+ sites. In the first Cs1+ site, Cs1+ is bonded in a 10-coordinate geometry to ten S+0.33- atoms. There are a spread of Cs–S bond distances ranging from 3.57–4.12 Å. In the second Cs1+ site, Cs1+ is bonded in a 11-coordinate geometry to eleven S+0.33- atoms. There are a spread of Cs–S bond distances ranging from 3.60–4.25 Å. There are six inequivalent S+0.33- sites. In the first S+0.33- site, S+0.33- is bonded in a 8-coordinate geometry to six Cs1+ and two S+0.33- atoms. There are one shorter (2.06 Å) and one longer (3.47 Å) S–S bond lengths. In the second S+0.33- site, S+0.33- is bonded in a 6-coordinate geometry to five Cs1+ and two S+0.33- atoms. The S–S bond length is 2.04 Å. In the third S+0.33- site, S+0.33- is bonded in a 4-coordinate geometry to two equivalent Cs1+ and two S+0.33- atoms. The S–S bond length is 2.06 Å. In the fourth S+0.33- site, S+0.33- is bonded in a 4-coordinate geometry to two Cs1+ and two S+0.33- atoms. The S–S bond length is 2.11 Å. In the fifth S+0.33- site, S+0.33- is bonded in a 2-coordinate geometry to three equivalent Cs1+ and two S+0.33- atoms. The S–S bond length is 2.09 Å. In the sixth S+0.33- site, S+0.33- is bonded in a 5-coordinate geometry to three Cs1+ and two S+0.33- atoms.

36 MATERIALS SCIENCE↗
NASA NTRS2013

Web Based Prognostics and 24/7 Monitoring

We created a general framework for analysts to store and view data in a way that removes the boundaries created by operating systems, programming languages, and proximity. With the advent of HTML5 and CSS3 with JavaScript the distribution of information is limited to only those who lack a browser. We created a framework based on the methodology: one server, one web based application. Additional benefits are increased opportunities for collaboration. Today the idea of a group in a single room is antiquated. Groups will communicate and collaborate with others from other universities, organizations, as well as other continents across times zones. There are many varieties of data gathering and condition-monitoring software available as well as companies who specialize in customizing software to individual applications. One single group will depend on multiple languages, environments, and computers to oversee recording and collaborating with one another in a single lab. The heterogeneous nature of the system creates challenges for seamless exchange of data and ideas between members. To address these limitations we designed a framework to allow users seamless accessibility to their data. Our framework was deployed using the data feed on the NASA Ames' planetary rover testbed. Our paper demonstrates the process and implementation we followed on the rover.

CSS3↗
DOE OSTI2021

Hardening DOE R&D Software Tools for Web-based Visualization SBIR Phase I Final Report

Ubiquitous web-based visualization is essential to delivering large-scale data visualization to various stakeholders, from the scientist to the board member. These stakeholders will not tolerate a stalled application or a pop-up window asking them to wait for the processing to complete. They require a responsive and interactive visualization environment with high-quality imagery suitable for detailed analysis and boardroom presentations. At Kitware, Inc., we have accomplished web visualization to this point, leveraging state-of-the-art tools like HTML5, CSS3, SVG, Canvas, and WebGL. Solutions that leverage a combination of these technologies are necessary to handle workloads that vary significantly in data size efficiently. However, it is not always practical to move large data to the web client for visualization. Kitware's ParaView as a Service combines client-side visualization using both distributed processing and remote rendering on big data impractical to move. Existing distributed processing and remote rendering solution's interactivity is below the expectations of web-based applications. Our project examined proposed solutions to the areas outlined above in ParaView as a Service. We have investigated concurrent pipelines, streaming images, progressive rendering, and optimization of algorithms and data movement to address these concerns. For the Phase I project, we completed the proposed work plan. As a result, the project produced three prototypes of essential importance for web visualization and the ParaView as a Service community. We created a simple desktop application for an interactive streamline placement prototype, a web-based interactive streamline placement prototype, and a web-based progressive rendering utilizing raytracing prototype. These prototypes relied on the hardening of emerging software toolkits funded by the Department of Energy (DOE) Advanced Scientific Computing Research (ASCR) program (such as ParaView, VTK-m, and Mochi). We blended these components into web-based visualization prototypes that meet the industry's expectations for interactivity and responsiveness. The Phase I project had four essential focus areas: 1. Develop prototype ParaView as a Service backend server using asynchronous, non-blocking design principles. 2. Develop a prototype web application that uses the ParaView as a Service backend server for remote data visualization. 3. Implement image streaming with encoding/compression and progressive rendering capabilities in the proposed platform. 4. Evaluate the prototype developed and summarize observations, including the challenges and pitfalls of our approach. After our successful completion of Phase I, we are strongly positioned to propose a successful Phase II project.

Geveci, Berk↗