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At least 1,009 records · Page 56

Investigation of Timing Properties for an Event Driven with Access and Reset Decoder Readout Architecture for a Pixel Array

The large number of data generating sources (data channels) on a single chip requires appropriate techniques to manage a readout from these channels. One of the main methods is sharing a medium of transmission, which requires arbitration to avoid collisions or deadlocks. Existing solutions face several problems such as a dead time, unintended prioritization or metastability. That is why we decided to create a new readout architecture named EDWARD i.e., Event Driven with Access and Reset Decoder. The EDWARD architecture gets rid of the earlier mentioned problems and mitigates the other ones. However, due to the use of logic circuits outside a standard cell library, which are hard to characterize, we were challenged to perform an additional transient analysis to validate the architecture. Here we show a methodology and the results of the simulations. Based on the results obtained we can confirm the functional correctness of the system and plan the optimization of operating conditions in order to achieve better performance. Our goal is to use the EDWARD architecture in the future radiation detectors to be built at Brookhaven National Laboratory.

47 OTHER INSTRUMENTATION↗

Unified Memory: GPGPU-Sim/UVM Smart Integration

CPU/GPU heterogeneous compute platforms are an ubiquitous element in computing and a programming model specified for this heterogeneous computing model is important for both performance and programmability. A programming model that exposes the shared, unified, address space between the heterogeneous units is a necessary step in this direction as it removes the burden of explicit data movement from the programmer while maintaining performance. GPU vendors, such as AMD and NVIDIA, have released software-managed runtimes that can provide programmers the illusion of unified CPU and GPU memory by automatically migrating data in and out of the GPU memory. However, this runtime support is not included in GPGPU-Sim, a commonly used framework that models the features of a modern graphics processor that are relevant to non-graphics applications. UVM Smart was developed, which extended GPGPU-Sim 3.x to in- corporate the modeling of on-demand pageing and data migration through the runtime. This report discusses the integration of UVM Smart and GPGPU-Sim 4.0 and the modifications to improve simulation performance and accuracy.

97 MATHEMATICS AND COMPUTING↗

2021 ATR Strategic Plan

Collaborative development of nuclear energy science and technology by three major sectors—academia, the commercial nuclear power industry, and the federal government—is key to meeting the challenges of nuclear energy. All three share a common need for experimental capabilities, whether for basic science investigations, applied research in nuclear fuels and materials, or validation of data. The Advanced Test Reactor (ATR) provides the unique irradiation capabilities to support the need.

11 NUCLEAR FUEL CYCLE AND FUEL MATERIALS↗

IPN Absorption Coefficients

The dataset contains aerosol light absorption and scattering coefficients measured by three single-wavelength Integrated Photoacoustic Nephelometers (IPN). The absorption coefficients were measured at 405, 721, and 1047 nm, while the scattering coefficients were measured at 405 and 721 nm. The single scattering albedo (SSA) at 405 and 721 nm were also calculated from the IPN measurements. The three IPNs shared a common inlet without impactor/cyclone in July; in August, a PM2.5 cyclone inlet was installed to reduce measurement noise and improve data quality. The 721-nm IPN experienced laser shutdown issues, causing missing of a large fraction of the 721-nm measurements, especially in July. As described before, the 721-nm laser issue was less frequent in August after the cyclone installation, improving the data completeness and quality. The IPN raw data were noisy, making identifying patterns and trends difficult; therefore, the hourly average data are recommended over the raw data. The hourly average data were cross-checked with the filter-based TAP and PSAP measurements, which showed that their patterns, trends, and peaks matched. However, due to the differences in working mechanisms and principles of the filter-based and photoacoustic particle-phase instruments, the IPN measurements are lower than the filter-based measurements despite that they have consistent patterns, trends, and peaks.

54 ENVIRONMENTAL SCIENCES↗

PubDAS: A PUBlic Distributed Acoustic Sensing Datasets Repository for Geosciences

During the past few years, distributed acoustic sensing (DAS) has become an invaluable tool for recording high-fidelity seismic wavefields with great spatiotemporal resolutions. However, the considerable amount of data generated during DAS experiments limits their distribution with the broader scientific community. Such a bottleneck inherently slows down the pursuit of new scientific discoveries in geosciences. Here, we introduce PubDAS—the first large-scale open-source repository where several DAS datasets from multiple experiments are publicly shared. PubDAS currently hosts eight datasets covering a variety of geological settings (e.g., urban centers, underground mines, and seafloor), spanning from several days to several years, offering both continuous and triggered active source recordings, and totaling up to ~90 TB of data. Here this article describes these datasets, their metadata, and how to access and download them. Some of these datasets have only been shallowly explored, leaving the door open for new discoveries in Earth sciences and beyond.

54 ENVIRONMENTAL SCIENCES↗

Hydropower Capital and O&M Costs: An Exploration of the FERC Form 1 Data

This report explores the potential for using responses from the Federal Energy Regulatory Commission’s (FERC’s) “Electric Utility Annual Report,” also known as FERC Form 1, as a cost database for conventional and pumped storage hydropower (PSH). The report outlines the process used to compile an easy-to-access database from the original FERC Form 1 data and discusses the historical cost/performance data. The steps for developing the database include downloading the annual FoxPro files from the FERC website (FERC, 2020), reading them into an Excel format, and reconciling naming issues across years, repeated entries, and shared assets, among others. The cleaned and compiled Form 1 database is available on Oak Ridge National Laboratory’s (ORNL’s) HydroSource website. For this report, the compiled Form 1 database was linked to two other hydropower databases, the National Inventory of Dams and the ORNL Existing Hydropower Assets, that provide additional information on the characteristics and other features of plants in the Form 1 data. Explorations of the plant characteristics, performance, capital costs, and operation and maintenance (O&M) cost data in the combined database were presented separately for conventional hydropower and PSH projects. Form 1 has several advantages as a hydropower cost database. First, the cost data is reported directly by plant owners. Second, Form 1 provides cost breakdowns of capital and operating costs for large conventional and PSH plants enabling more detailed tracking of hydropower costs compared with typical total cost estimates. Third, although the Form 1 data is not reported by all operational hydropower plants in the United States, the available data represents a wide range of plant characteristics and a sizable proportion of the hydropower fleet (61% of PSH plants and 22% of conventional hydropower plants by capacity). The lower proportion of the conventional hydropower fleet is because Form 1 reporting requirements apply only to private utilities that meet given size thresholds, leaving out federally owned facilities and many smaller hydropower plants. Overall, the Form 1 cost database represents a unique, publicly available database on hydropower asset capital and O&M costs. This report leads to a compiled database for the reporting years 1994 to 2020 that helps resolve issues with accessibility and use of the FERC Form 1 data by hydropower plant owners, project developers, technology developers, and regulators.

13 HYDRO ENERGY↗

Sharing is caring: An extensive analysis of parameter-based transfer learning for the prediction of building thermal dynamics

In recent years deep neural networks have been proposed as a lightweight data-driven model to capture high-dimensional, nonlinear physical processes to predict building thermal responses. However, the need of a large amount of data for the training process of deep neural networks clashes with the potential limited data availability in most existing or new buildings. Transfer learning aims to enhance the performance of a target learner exploiting knowledge from related and similar environments. This study conducted a suite of experiments that leveraged 250 data-driven models based on a synthetic dataset of a building archetype to study the influence of data availability, energy efficiency level, occupancy and climate for the transfer process of thermal dynamics. The performance of the transfer learning process was compared against a classical machine learning approach. Here, the results suggest that building thermal dynamics can be effectively transferred under the same climatic conditions, increasing performance when dealing with different occupancy schedules, efficiency levels and low data availability. Furthermore, the paper compares the performance of both transfer learning and machine learning approaches in an online fashion, to support the implementation in real-world deployment.

32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATI↗

Materials Data on UB2Os3 by Materials Project

UOs3B2 crystallizes in the orthorhombic Cmmm space group. The structure is three-dimensional. U6+ is bonded to twelve Os2- atoms to form UOs12 cuboctahedra that share corners with twelve equivalent UOs12 cuboctahedra, edges with six equivalent UOs12 cuboctahedra, edges with twelve equivalent BOs6 pentagonal pyramids, faces with two equivalent UOs12 cuboctahedra, and faces with six equivalent BOs6 pentagonal pyramids. There are four shorter (3.15 Å) and eight longer (3.16 Å) U–Os bond lengths. There are two inequivalent Os2- sites. In the first Os2- site, Os2- is bonded in a distorted square co-planar geometry to four equivalent U6+ and four equivalent B atoms. All Os–B bond lengths are 2.19 Å. In the second Os2- site, Os2- is bonded in a distorted square co-planar geometry to four equivalent U6+ and four equivalent B atoms. All Os–B bond lengths are 2.19 Å. B is bonded to six Os2- atoms to form distorted BOs6 pentagonal pyramids that share corners with six equivalent BOs6 pentagonal pyramids, edges with six equivalent UOs12 cuboctahedra, edges with three equivalent BOs6 pentagonal pyramids, faces with three equivalent UOs12 cuboctahedra, and faces with two equivalent BOs6 pentagonal pyramids.

36 MATERIALS SCIENCE↗

Materials Data on NaMnSe2 by Materials Project

NaMnSe2 crystallizes in the trigonal P3m1 space group. The structure is three-dimensional. Na1+ is bonded to six Se2- atoms to form NaSe6 octahedra that share corners with six equivalent MnSe4 tetrahedra, edges with six equivalent NaSe6 octahedra, and edges with three equivalent MnSe4 tetrahedra. There are three shorter (2.92 Å) and three longer (3.16 Å) Na–Se bond lengths. Mn3+ is bonded to four Se2- atoms to form MnSe4 tetrahedra that share corners with six equivalent NaSe6 octahedra, corners with six equivalent MnSe4 tetrahedra, and edges with three equivalent NaSe6 octahedra. The corner-sharing octahedra tilt angles range from 19–53°. There are one shorter (2.30 Å) and three longer (2.54 Å) Mn–Se bond lengths. There are two inequivalent Se2- sites. In the first Se2- site, Se2- is bonded in a rectangular see-saw-like geometry to three equivalent Na1+ and one Mn3+ atom. In the second Se2- site, Se2- is bonded to three equivalent Na1+ and three equivalent Mn3+ atoms to form distorted edge-sharing SeNa3Mn3 octahedra.

36 MATERIALS SCIENCE↗

Materials Data on Ba2CuTeO6 by Materials Project

Ba2CuTeO6 crystallizes in the tetragonal I4/m space group. The structure is three-dimensional. Ba2+ is bonded to twelve O2- atoms to form BaO12 cuboctahedra that share corners with twelve equivalent BaO12 cuboctahedra, faces with six equivalent BaO12 cuboctahedra, faces with four equivalent CuO6 octahedra, and faces with four equivalent TeO6 octahedra. There are a spread of Ba–O bond distances ranging from 2.84–3.04 Å. Cu2+ is bonded to six O2- atoms to form CuO6 octahedra that share corners with six equivalent TeO6 octahedra and faces with eight equivalent BaO12 cuboctahedra. The corner-sharing octahedra tilt angles range from 0–4°. There are four shorter (2.00 Å) and two longer (2.52 Å) Cu–O bond lengths. Te6+ is bonded to six O2- atoms to form TeO6 octahedra that share corners with six equivalent CuO6 octahedra and faces with eight equivalent BaO12 cuboctahedra. The corner-sharing octahedra tilt angles range from 0–4°. There is two shorter (1.94 Å) and four longer (1.99 Å) Te–O bond length. There are two inequivalent O2- sites. In the first O2- site, O2- is bonded in a distorted linear geometry to four equivalent Ba2+, one Cu2+, and one Te6+ atom. In the second O2- site, O2- is bonded to four equivalent Ba2+, one Cu2+, and one Te6+ atom to form a mixture of distorted edge and corner-sharing OBa4CuTe octahedra. The corner-sharing octahedra tilt angles range from 0–12°.

36 MATERIALS SCIENCE↗

Materials Data on YCuS2 by Materials Project

YCuS2 crystallizes in the orthorhombic Pnma space group. The structure is three-dimensional. Y3+ is bonded to six S2- atoms to form YS6 octahedra that share corners with four equivalent YS6 octahedra, corners with six equivalent CuS4 tetrahedra, edges with four equivalent YS6 octahedra, and edges with three equivalent CuS4 tetrahedra. The corner-sharing octahedral tilt angles are 52°. There are a spread of Y–S bond distances ranging from 2.67–2.82 Å. Cu1+ is bonded to four S2- atoms to form CuS4 tetrahedra that share corners with six equivalent YS6 octahedra, corners with two equivalent CuS4 tetrahedra, edges with three equivalent YS6 octahedra, and edges with two equivalent CuS4 tetrahedra. The corner-sharing octahedra tilt angles range from 14–58°. There are a spread of Cu–S bond distances ranging from 2.30–2.42 Å. There are two inequivalent S2- sites. In the first S2- site, S2- is bonded in a distorted rectangular see-saw-like geometry to three equivalent Y3+ and one Cu1+ atom. In the second S2- site, S2- is bonded to three equivalent Y3+ and three equivalent Cu1+ atoms to form distorted edge-sharing SY3Cu3 octahedra.

36 MATERIALS SCIENCE↗

Materials Data on TaTlS3 by Materials Project

TlTaS3 crystallizes in the orthorhombic Pnma space group. The structure is three-dimensional. Ta5+ is bonded to six S2- atoms to form distorted edge-sharing TaS6 octahedra. There are a spread of Ta–S bond distances ranging from 2.26–2.76 Å. Tl1+ is bonded in a 8-coordinate geometry to eight S2- atoms. There are a spread of Tl–S bond distances ranging from 3.13–3.53 Å. There are three inequivalent S2- sites. In the first S2- site, S2- is bonded in a 4-coordinate geometry to three equivalent Ta5+ and one Tl1+ atom. In the second S2- site, S2- is bonded in a distorted single-bond geometry to one Ta5+ and four equivalent Tl1+ atoms. In the third S2- site, S2- is bonded in a 2-coordinate geometry to two equivalent Ta5+ and three equivalent Tl1+ atoms.

36 MATERIALS SCIENCE↗

Materials Data on YbIn5Rh by Materials Project

YbRhIn5 crystallizes in the tetragonal P4/mmm space group. The structure is three-dimensional. Yb is bonded to twelve In atoms to form YbIn12 cuboctahedra that share corners with four equivalent YbIn12 cuboctahedra, faces with four equivalent YbIn12 cuboctahedra, and faces with four equivalent InYb4In8 cuboctahedra. There are eight shorter (3.26 Å) and four longer (3.31 Å) Yb–In bond lengths. Rh is bonded in a body-centered cubic geometry to eight equivalent In atoms. All Rh–In bond lengths are 2.79 Å. There are two inequivalent In sites. In the first In site, In is bonded to four equivalent Yb and eight equivalent In atoms to form distorted InYb4In8 cuboctahedra that share corners with four equivalent InYb4In8 cuboctahedra, faces with four equivalent YbIn12 cuboctahedra, and faces with four equivalent InYb4In8 cuboctahedra. All In–In bond lengths are 3.26 Å. In the second In site, In is bonded in a 4-coordinate geometry to two equivalent Yb, two equivalent Rh, and two equivalent In atoms.

36 MATERIALS SCIENCE↗

Materials Data on CaAl9Co2 by Materials Project

CaCo2Al9 crystallizes in the hexagonal P6/mmm space group. The structure is three-dimensional. Ca is bonded to twelve equivalent Al atoms to form face-sharing CaAl12 cuboctahedra. All Ca–Al bond lengths are 3.49 Å. Co is bonded in a 9-coordinate geometry to nine Al atoms. There are three shorter (2.28 Å) and six longer (2.54 Å) Co–Al bond lengths. There are two inequivalent Al sites. In the first Al site, Al is bonded in a linear geometry to two equivalent Co atoms. In the second Al site, Al is bonded in a 2-coordinate geometry to two equivalent Ca and two equivalent Co atoms.

36 MATERIALS SCIENCE↗

Materials Data on Ni4Mo by Materials Project

Ni4Mo crystallizes in the tetragonal I4/m space group. The structure is three-dimensional. Mo is bonded to twelve Ni atoms to form MoNi12 cuboctahedra that share corners with twelve NiNi9Mo3 cuboctahedra, edges with eight equivalent MoNi12 cuboctahedra, edges with sixteen NiNi9Mo3 cuboctahedra, faces with two equivalent MoNi12 cuboctahedra, and faces with sixteen NiNi9Mo3 cuboctahedra. There are eight shorter (2.54 Å) and four longer (2.56 Å) Mo–Ni bond lengths. There are two inequivalent Ni sites. In the first Ni site, Ni is bonded to three equivalent Mo and nine Ni atoms to form NiNi9Mo3 cuboctahedra that share corners with three equivalent MoNi12 cuboctahedra, corners with nine NiNi9Mo3 cuboctahedra, edges with four equivalent MoNi12 cuboctahedra, edges with twenty NiNi9Mo3 cuboctahedra, faces with four equivalent MoNi12 cuboctahedra, and faces with fourteen NiNi9Mo3 cuboctahedra. There are a spread of Ni–Ni bond distances ranging from 2.53–2.57 Å. In the second Ni site, Ni is bonded to three equivalent Mo and nine Ni atoms to form NiNi9Mo3 cuboctahedra that share corners with three equivalent MoNi12 cuboctahedra, corners with nine NiNi9Mo3 cuboctahedra, edges with four equivalent MoNi12 cuboctahedra, edges with twenty NiNi9Mo3 cuboctahedra, faces with four equivalent MoNi12 cuboctahedra, and faces with fourteen NiNi9Mo3 cuboctahedra. The Ni–Ni bond length is 2.54 Å.

36 MATERIALS SCIENCE↗

Materials Data on TaTlSe3 by Materials Project

TaTlSe3 crystallizes in the orthorhombic Pnma space group. The structure is three-dimensional. Ta5+ is bonded to six Se2- atoms to form distorted edge-sharing TaSe6 octahedra. There are a spread of Ta–Se bond distances ranging from 2.40–2.88 Å. Tl1+ is bonded in a 8-coordinate geometry to eight Se2- atoms. There are a spread of Tl–Se bond distances ranging from 3.19–3.74 Å. There are three inequivalent Se2- sites. In the first Se2- site, Se2- is bonded in a 4-coordinate geometry to three equivalent Ta5+ and one Tl1+ atom. In the second Se2- site, Se2- is bonded in a distorted single-bond geometry to one Ta5+ and four equivalent Tl1+ atoms. In the third Se2- site, Se2- is bonded in a 2-coordinate geometry to two equivalent Ta5+ and three equivalent Tl1+ atoms.

36 MATERIALS SCIENCE↗

Materials Data on Sr2TaGaO6 by Materials Project

Sr2TaGaO6 crystallizes in the tetragonal I4/m space group. The structure is three-dimensional. Sr2+ is bonded to twelve O2- atoms to form SrO12 cuboctahedra that share corners with twelve equivalent SrO12 cuboctahedra, faces with six equivalent SrO12 cuboctahedra, faces with four equivalent TaO6 octahedra, and faces with four equivalent GaO6 octahedra. There are a spread of Sr–O bond distances ranging from 2.65–3.01 Å. Ta5+ is bonded to six O2- atoms to form TaO6 octahedra that share corners with six equivalent GaO6 octahedra and faces with eight equivalent SrO12 cuboctahedra. The corner-sharing octahedra tilt angles range from 0–15°. All Ta–O bond lengths are 2.00 Å. Ga3+ is bonded to six O2- atoms to form GaO6 octahedra that share corners with six equivalent TaO6 octahedra and faces with eight equivalent SrO12 cuboctahedra. The corner-sharing octahedra tilt angles range from 0–15°. All Ga–O bond lengths are 2.01 Å. There are two inequivalent O2- sites. In the first O2- site, O2- is bonded in a 2-coordinate geometry to four equivalent Sr2+, one Ta5+, and one Ga3+ atom. In the second O2- site, O2- is bonded in a distorted linear geometry to four equivalent Sr2+, one Ta5+, and one Ga3+ atom.

36 MATERIALS SCIENCE↗

Materials Data on HoCuS2 by Materials Project

HoCuS2 crystallizes in the orthorhombic Pnma space group. The structure is three-dimensional. Ho3+ is bonded to six S2- atoms to form HoS6 octahedra that share corners with four equivalent HoS6 octahedra, corners with six equivalent CuS4 tetrahedra, edges with four equivalent HoS6 octahedra, and edges with three equivalent CuS4 tetrahedra. The corner-sharing octahedral tilt angles are 51°. There are a spread of Ho–S bond distances ranging from 2.65–2.80 Å. Cu1+ is bonded to four S2- atoms to form CuS4 tetrahedra that share corners with six equivalent HoS6 octahedra, corners with two equivalent CuS4 tetrahedra, edges with three equivalent HoS6 octahedra, and edges with two equivalent CuS4 tetrahedra. The corner-sharing octahedra tilt angles range from 15–58°. There are a spread of Cu–S bond distances ranging from 2.30–2.41 Å. There are two inequivalent S2- sites. In the first S2- site, S2- is bonded in a distorted rectangular see-saw-like geometry to three equivalent Ho3+ and one Cu1+ atom. In the second S2- site, S2- is bonded to three equivalent Ho3+ and three equivalent Cu1+ atoms to form distorted edge-sharing SHo3Cu3 octahedra.

36 MATERIALS SCIENCE↗