Open Access

Letzte Einträge:
2021-01-25
10:08
OpenAccess [FZJ-2021-00716] Journal Article
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Elastic form factors of nucleon excitations in lattice QCD
First principles calculations of the form factors of baryon excitations are now becoming accessible through advances in lattice-QCD techniques. In this paper, we explore the utility of the parity-expanded variational analysis (PEVA) technique in calculating the Sachs electromagnetic form factors for excitations of the proton and neutron. [...]
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2021-01-25
09:20
OpenAccess [FZJ-2021-00705] Journal Article
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Bias evaluation and reduction in 3D OP-OSEM reconstruction in dynamic equilibrium PET studies with 11C-labeled for binding potential analysis
PLOS ONE 16(1), e0245580 - () [10.1371/journal.pone.0245580]
Iterative image reconstruction is widely used in positron emission tomography. However, it is known to contribute to quantitation bias and is particularly pronounced during dynamic studies with 11C-labeled radiotracers where count rates become low towards the end of the acquisition. [...]
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ddc:610

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2021-01-24
16:57
OpenAccess [FZJ-2021-00681] Contribution to a conference proceedings/Contribution to a book
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Obstacle Tower Without Human Demonstrations: How Far a Deep Feed-Forward Network Goes with Reinforcement Learning
2020 IEEE Conference on Games (CoG) : [Proceedings] - IEEE, 2020
2020 IEEE Conference on Games (CoG), OsakaOsaka, Japan, 24 Aug 2020 - 27 Aug 20202020-08-242020-08-27
IEEE 447 - 454 () [10.1109/CoG47356.2020.9231802]
The Obstacle Tower Challenge is the task to master a procedurally generated chain of levels that subsequently get harder to complete. Whereas the most top performing entries of last year's competition used human demonstrations or reward shaping to learn how to cope with the challenge, we present an approach that performed competitively (placed 7th) but starts completely from scratch by means of Deep Reinforcement Learning with a relatively simple feed-forward deep network structure. [...]
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2021-01-23
12:45
Embargoed OpenAccess [FZJ-2021-00670] Journal Article
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Memristors with alloyed electrodes
Nanoionic memrisitve devices are one of the most promising building blocks for next generation hardware architectures for cognitive type data processing. These highly scalable, low power, fast operating units offer a broad spectrum of functionalities at various operation conditions. [...]
Fulltext: Download fulltextPDF; Published on 2020-06-08. Available in OpenAccess from 2020-12-08.: Download fulltextPDF;
ddc:600

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2021-01-23
12:40
OpenAccess [FZJ-2021-00667] Journal Article
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Brain‐Inspired Structural Plasticity through Reweighting and Rewiring in Multi‐Terminal Self‐Organizing Memristive Nanowire Networks
Acting as artificial synapses, two‐terminal memristive devices are considered fundamental building blocks for the realization of artificial neural networks. Current memristive crossbar architectures demonstrate the implementation of neuromorphic computing paradigms, although they are unable to emulate typical features of biological neural networks such as high connectivity, adaptability through reconnection and rewiring, and long‐range spatio‐temporal correlation. [...]
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ddc:620

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2021-01-23
12:35
Embargoed OpenAccess [FZJ-2021-00666] Journal Article
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Water-Mediated Ionic Migration in Memristive Nanowires with a Tunable Resistive Switching Mechanism
Memristive devices based on electrochemical resistive switching effects have been proposed as promising candidates for in-memory computing and for the realization of artificial neural networks. Despite great efforts toward understanding the nanoionic processes underlying resistive switching phenomena, comprehension of the effect of competing redox processes on device functionalities from the materials perspective still represents a challenge. [...]
Fulltext: Download fulltextPDF; Published on 2020-10-14. Available in OpenAccess from 2021-10-14.: Download fulltextPDF;
ddc:600

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2021-01-22
18:01
OpenAccess [FZJ-2021-00654] Journal Article
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Microwave Transmittance Technique Using Microstrip Patch Antennas, as a Non-Invasive Tool to Determine Soil Moisture in Rhizoboxes
Sensors 20(4), 1166 () [10.3390/s20041166]
Investigating the growth behavior of plant root systems as a function of soil water isconsidered an important information for the study of root physiology. A non-invasive tool based onelectromagnetic wave transmittance in the microwave frequency range, operating close to 4.8 GHz,was developed using microstrip patch antennas to determine the volumetric moisture of soil inrhizoboxes. [...]
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ddc:620

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2021-01-22
16:37
OpenAccess [FZJ-2021-00653] Lecture (Other)

GPU Accelerators at JSC
Lecture at JSC at training course "Introduction to usage and programming the supercomputing resources at JSC" (Jülich / online, Germany), 20 May 20202020-05-20
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2021-01-22
16:34
OpenAccess [FZJ-2021-00652] Lecture (Other)
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JupyterLab - Supercomputing in Your Browser
Lecture at JSC at training course "Introduction to usage and programming the supercomputing resources at JSC" (Jülich / online, Germany), 20 May 20202020-05-20
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2021-01-22
16:32
OpenAccess [FZJ-2021-00651] Lecture (Other)

UNICORE - Uniform Access to the JSC Resources
Lecture at JSC at training course "Introduction to usage and programming the supercomputing resources at JSC" (Jülich / online, Germany), 19 May 20202020-05-19
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