scholarly journals Digital Predistortion in High Throughput Satellites: Architectures and Performance

IEEE Access ◽  
2021 ◽  
Vol 9 ◽  
pp. 42291-42304
Author(s):  
Ovais Bin Usman ◽  
Andreas Knopp
Keyword(s):  
High Throughput ◽  
Digital Predistortion ◽  
And Performance

High-Throughput Characterization of Composition and Performance of Titanium Alloys Based on Nanoindentation Technology and EPMA

2021 ◽  
Vol 871 ◽  
pp. 20-26
Author(s):  
Yu Gao ◽  
Hong Yu ◽  
Yu Zhou ◽  
Xin Jie Zhu ◽  
Qun Bo Fan
Keyword(s):  
Titanium Alloy ◽  
High Throughput ◽  
Alloy Composition ◽  
Analysis Method ◽  
Experimental Scheme ◽  
Test Efficiency ◽  
And Performance ◽  
High Throughput Experiments ◽  
The Relationship

Traditional high-throughput experiments increase the test efficiency by designing component gradient tests and other methods. This article intends to improve the traditional high-throughput experiments and proposes an experimental scheme combining nanoindentation technology and electron probe microanalysis (EPMA). Based on a new Ti-Mo-Al-Zr-Cr-Sn alloy, micro-region composition and corresponding performance at multiple indentations are directly characterized, including a series of different alloy compositions composed of 8 elements such as Mo, Al and the corresponding hardness (H) and elastic modulus (E). Then the principal analysis method in statistics, the theory of molybdenum equivalent and aluminum equivalent are used to process the obtained data, and a series of atlases such as "E-H-component characteristic parameters" and "E-H-alloy equivalents" are constructed, which has achieved high-throughput characterization of the relationship between composition and performance of titanium alloy. Related work can not only quickly determine the alloy composition range corresponding to high E and high H values, but also provide guidance for further optimization of titanium alloy composition design.

scholarly journals The Hvee 14C System at Groningen

Radiocarbon ◽  
1995 ◽  
Vol 37 (2) ◽  
pp. 649-656 ◽  
Author(s):  
Andreas Gottdang ◽  
Dirk J. W. Mous ◽  
Johannes Van Der Plicht
Keyword(s):  
Mass Spectrometry ◽  
High Throughput ◽  
High Voltage ◽  
Accelerator Mass Spectrometry ◽  
Performance Measurements ◽  
System Description ◽  
Accelerator Mass Spectrometer ◽  
And Performance ◽  
High Voltage Engineering ◽  
New Generation

Since May 1994, a new-generation accelerator mass spectrometer (AMS) has been fully operational at the Centre for Isotope Research in Groningen, The Netherlands. The fully automated and high-throughput accelerator mass spectrometry (AMS) system, manufactured by High Voltage Engineering Europa (HVEE) is dedicated to radiocarbon analysis. The HVEE 4130 14C AMS is able to analyze up to 3000 samples per year. The system is characterized by simultaneous transport of all three isotopes (12C, 13C, 14C) and 14C analysis with a precision below 0.5 pMC and a daily stability below 0.5 pMC. We present here a system description together with stability and performance measurements.

scholarly journals Simple nanofluidic devices for high-throughput, non-equilibrium studies at the single-molecule level

2017 ◽  
Author(s):  
Carel Fijen ◽  
Mattia Fontana ◽  
Serge G. Lemay ◽  
Klaus Mathwig ◽  
Johannes Hohlbein
Keyword(s):  
High Throughput ◽  
Single Molecule ◽  
Single Particle Tracking ◽  
Biological Interactions ◽  
Dynamic Heterogeneity ◽  
High Throughput Analysis ◽  
Equilibrium Studies ◽  
Single Molecule Level ◽  
Nanofluidic Devices ◽  
And Performance

ABSTRACTSingle-molecule detection schemes offer powerful means to overcome static and dynamic heterogeneity inherent to complex samples. Probing chemical and biological interactions and reactions with high throughput and time resolution, however, remains challenging and often requires surface-immobilized entities. Here, utilizing camera-based fluorescence microscopy, we present glass-made nanofluidic devices in which fluorescently labelled molecules flow through nanochannels that confine their diffusional movement. The first design features an array of parallel nanochannels for high-throughput analysis of molecular species under equilibrium conditions allowing us to record 200.000 individual localization events in just 10 minutes. Using these localizations for single particle tracking, we were able to obtain accurate flow profiles including flow speeds and diffusion coefficients inside the channels.A second design featuring a T-shaped nanochannel enables precise mixing of two different species as well as the continuous observation of chemical reactions. We utilized the design to visualize enzymatically driven DNA synthesis in real time and at the single-molecule level. Based on our results, we are convinced that the versatility and performance of the nanofluidic devices will enable numerous applications in the life sciences.

scholarly journals Representation of Molecular Structures with Persistent Homology Leads to the Discovery of Molecular Groups with Enhanced CO2 Binding

2020 ◽  
Author(s):  
Jacob Townsend ◽  
Cassie Putman Micucci ◽  
John H. Hymel ◽  
Vasileios Maroulas ◽  
Konstantinos Vogiatzis
Keyword(s):  
Machine Learning ◽  
High Throughput ◽  
Persistent Homology ◽  
Molecular Structures ◽  
General Interest ◽  
Molecular Fingerprinting ◽  
Computational Screening ◽  
Chemical Machine ◽  
Separation Of Co2 ◽  
And Performance

<p>Developing alternative strategies for efficient separation of CO2 and N2 is of general interest for the reduction of anthropogenic carbon emissions. In recent years, machine learning and high-throughput computational screening have been valuable tools in accelerated first-principles screening for the discovery of the next generation of functionalized molecules and materials. The application of machine learning for chemical applications requires the conversion of molecular structures to a machine-readable format known as a molecular representation. The choice of such representations impacts the performance and outcomes of chemical machine learning methods. Herein, we present a new concise and size-consistent molecular representation derived from persistent homology,an applied branch of mathematics. We have demonstrated its applicability in a high-throughput computational screening of a large molecular database (GDB-9) with more than 133,000 organic molecules. Our target is to identify novel molecules that selectively interact with CO2. The methodology and performance of the novel molecular fingerprinting method is presented and the new chemically-driven persistence image representation is used to screen the GDB-9 database to suggest molecules and/or functional groups with enhanced properties.</p>

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