Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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Materials Map under construction

The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (2/2 displayed)

  • 2024Particle Dynamics in a Diblock-Copolymer-Based Dodecagonal Quasicrystal and Its Periodic Approximant by X-Ray Photon Correlation Spectroscopy4citations
  • 20201.2 Mfps standalone X-ray detector for Time-Resolved Experiments1citations

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Lewis, Ronald M.
1 / 5 shared
Lindsay, Aaron P.
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Bates, Frank S.
1 / 90 shared
Mueller, Andreas J.
1 / 4 shared
Narayanan, Suresh
1 / 5 shared
Koziol, Anna
1 / 1 shared
Otfinowski, Piotr
1 / 1 shared
Dudek, Piotr
1 / 1 shared
Chart of publication period
2024
2020

Co-Authors (by relevance)

  • Lewis, Ronald M.
  • Lindsay, Aaron P.
  • Bates, Frank S.
  • Mueller, Andreas J.
  • Narayanan, Suresh
  • Koziol, Anna
  • Otfinowski, Piotr
  • Dudek, Piotr
OrganizationsLocationPeople

article

1.2 Mfps standalone X-ray detector for Time-Resolved Experiments

  • Koziol, Anna
  • Otfinowski, Piotr
  • Zhang, Qingteng
  • Dudek, Piotr
Abstract

We present a standalone and autonomous X-ray detector capable of operation with the speed of up to1.2 Mfps. The detector utilizes UFXC32k hybrid pixel detectors for sensing X-rays, Spartan-6 LX45 FPGA placed in commercially available sbRIO 9628 controller for data acquisition and processing including a compression with zero-suppression algorithm. A Linux-RT system working on the 400 MHz Dual-Core CPU is used for FPGA control and data streaming to the higher-level system over 1 Gbps Ethernet connection. 1.2 M frames per second is achieved in so-called burst mode of operation while in zerodead-time mode 70 kfps is possible. Due to efficient data compression in FPGA there's no need of using high-speed transceivers and Frame-Grabber cards on the data server side and the detector can stream the data infinitely over standard 1 Gbps network connection. Operation modes were tested at Advanced Photon Source Synchrotron at Argonne National Laboratory.

Topics
  • impedance spectroscopy
  • experiment