ArticleNanoscale research letters2020
Atomic-Resolution EDX, HAADF, and EELS Study of GaAs
Article in Nanoscale research letters, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
5 citing papers in PubMed.
- Performance assessment of a triple-junction solar cell with 1.0 eV GaAsBi absorber.Discover nano · 2023Article
- Atomic-scale 3D imaging of individual dopant atoms in an oxide semiconductor.Nature communications · 2022Article
- Understanding the Anisotropy in the Electrical Conductivity of CuPtACS applied electronic materials · 2022Article
- STEM Tools for Semiconductor Characterization: Beyond High-Resolution Imaging.Nanomaterials (Basel, Switzerland) · 2022Review
- Techniques for the characterization of single atom catalysts.RSC advances · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors.
Funding
Abstract
The distribution of alloyed atoms in semiconductors often deviates from a random distribution which can have significant effects on the properties of the materials. In this study, scanning transmission electron microscopy techniques are employed to analyze the distribution of Bi in several distinctly MBE grown GaAs
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.