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Record W4401006421 · doi:10.1093/mam/ozae044.714

Dynamics of Beam Interaction and Damage within a Thin TEM Specimen

2024· article· en· W4401006421 on OpenAlexaff
R.F. Egerton, Peter Rez, Yimei Zhu

Bibliographic record

VenueMicroscopy and Microanalysis · 2024
Typearticle
Languageen
FieldEngineering
TopicIntegrated Circuits and Semiconductor Failure Analysis
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMaterials scienceBeam (structure)Dynamics (music)Composite materialOpticsPhysicsAcoustics

Abstract

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Specimen heating is an unavoidable consequence of the inelastic scattering of primary electrons. For a thin-slab specimen, the temperature at the center of the beam increases with a time constant that depends on the beam radius R and to a lesser extent on the distance R0 to the heat sink [1]. The temperature rise ΔT is typically below 10 K for beam currents of 1 nA or less; see Fig. 1. Electrostatic charging occurs for poorly conducting samples (density ρ, thickness t), with a rise time ε0εrρ/σ that ranges from fs to ms, depending on the electrical conductivity σ; see Table 1. For small-radius probes, an equilibrium potential Vs may be reached, resulting in hole drilling due to ion emission [2] if the local charge density exceeds about 0.1 electrons/atom, or in ionic drift or dielectric breakdown caused by the field dV/dr near the edge of the probe [3]. Estimated charging properties [1] that arise from a STEM probe (2R = 1 nm, Ib = 0.4nA) and from TEM illumination (2R = 5 μm, Ib = 0.4nA; values in parenthesis), taking t = 100 nm, R0 = 30 μm and SE yield (at surface potential Vs) = 0.01. Estimated charging properties [1] that arise from a STEM probe (2R = 1 nm, Ib = 0.4nA) and from TEM illumination (2R = 5 μm, Ib = 0.4nA; values in parenthesis), taking t = 100 nm, R0 = 30 μm and SE yield (at surface potential Vs) = 0.01. All of the above data are based on macroscopic values of the thermal and electrical properties. Further insight can be obtained by considering the effects of the secondary electrons (SE) generated by each inelastic scattering event of a primary electron. Nielsen et al. [4] used Monte Carlo calculations to predict the behavior of a single 100eV electron, created in diamond or GaN. Inelastic scattering reduces this kinetic energy to below 10 eV within 1 fs, generating 8 electron-hole pairs but sub-nm radial spread; see Fig. 2a. Between 1 fs and 1 ps, the SE become thermalized by phonon scattering and three more e-h pairs are created, with significant radial spread; see Fig. 2b. In this respect, electron irradiation differs from that of incident ions, which deposit most of their energy directly to atomic nuclei, generating highly localized thermal spikes that expand at the speed of sound, dissipating their energy [5]. In a beam-sensitive organic material, radiation damage (radiolysis) arises mainly from SE that are produced with energies of 10 – 30 eV (from valence-electron excitation) or several hundred eV if generated by K-shell excitation. In such a material, hole production is replaced by the creation of ionized molecules, which repel and react with each other, while the generated secondary electrons are mobile and create further damage within the “spur” [5]. The subsequent (chemical) stage of radiolysis involves diffusion processes that occur on a longer time scale. So mass loss can be reduced (for the same amount of acquired data) by using a high dose rate [6], even though Coulomb repulsion between primary electrons precludes outrunning the primary (physical) damage processes. Conversely, low dose rates can be beneficial where a back-reaction (repair) process acts to reduce damage, or where beam heating exacerbates the damage. The use of pulsed electron beams could lead to a better understanding of radiation damage or even the possibility of reducing it [7]. For this purpose, precise timing of the incident electrons might be achievable with laser-driven electron sources but is more problematic for a chopped thermionic beam. Fig. 3 shows a typical electron-arrival pattern for a beam current of 22 pA and a chopping frequency of 5.2 GHz, as used in damage studies on paraffin [8]. The spatial delocalization and time dependence of damage is relevant to the possibility of cooperative effects (between inelastic-scattering events of different primary electrons) that could in principle be reduced with a pulsed beam. However, such effects should show up as a measurable dose-rate dependence of damage [9]. Thermal time constant τ and temperature rise ΔT at the center of the beam (current = 1 nA) for electrons transmitted through thin samples of silicon, PMMA and ice. (a) Mean number of electron-hole pairs generated by a single 100eV electron in GaN, versus time after creation. (b) Radial displacement of the hot electrons created in GaN, as a function of time. Thirty electrons in a gated beam with 22% duty cycle (top) and in a continuous beam from a thermionic source (middle) with the same current (22 pA). The horizontal axis represents distance along the beam time, or arrival time at the specimen. The gating effect becomes apparent only at higher beam current (e.g. 1 nA, bottom red display).

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.006
GPT teacher head0.229
Teacher spread0.223 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2024
Admission routes1
Has abstractyes

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