Impact of scaling on the soft error sensitivity of bulk, FDSOI and FinFET technologies due to atmospheric radiation

Monte Carlo Evaluation of Single Event Effects in a Deep-Submicron Bulk Technology: Comparison Between Atmospheric and Accelerator Environment

“…Compared to other published work [15], we used a full Monte Carlo approach for the assessment of both monoenergetic cross sections and SEE rate as well as the primary particle spectra in different radiation environments. FLUKA Monte Carlo simulation was used to study the energy deposition in the SRAM model and to transport particle spectra previously assessed in different radiation environments such as the terrestrial environment, commercial flight altitude, LHC critical areas for electronics and CERN's CHARM test facility.…”

“…The need to investigate the SEE beyond the "classical" vision that only certain kind radiation fields may have a significant impact on the technology currently available, was considered in [10]. QARM [11], [12] and EXPACS [13], [14] codes were extensively used in the past [10] to assess particle spectra in the atmospheric and terrestrial environments, but a systematic evaluation of the different particle contribution to the total SEE rate, in a given environment, has been investigated only in a few publications [15]. In [15] spectra from QARM and EXPACS were used as primary source to investigate the impact of terrestrial radiation on soft error.…”

“…QARM [11], [12] and EXPACS [13], [14] codes were extensively used in the past [10] to assess particle spectra in the atmospheric and terrestrial environments, but a systematic evaluation of the different particle contribution to the total SEE rate, in a given environment, has been investigated only in a few publications [15]. In [15] spectra from QARM and EXPACS were used as primary source to investigate the impact of terrestrial radiation on soft error. Recently, our group demonstrated how FLUKA Monte Carlo simulation allows one to assess the environmental particle flux distribution, particularly of atmospheric and terrestrial muons, down to low energies and with a better statistics compared to the codes reported above [16].…”

Atmospheric radiation environment analyses based-on CCD camera at various mountain altitudes and underground sites

“…As feature sizes scales down, charge collection at multiple nodes (i.e., charge sharing) due to a single particle hit results from the decrease spacing dimensions between cells [12][13][14][15]. Then the sensitivity to SEE is expected to increase and recent studies have shown the occurrence of soft-errors due to protons [16,17] and to muons [18] for advanced nano-scales electronics. In order to know the muon contribution in soft-errors, the first requirement is to ensure a solid understanding of the muon radiation environment.…”

Modeling and Design of Ring Oscillators and their Application in Radiation Environments

“…[Cre13] have shown resistance to radiation effects. Modern technologies such as FinFETs have also proved being a good alternative to bulk technologies for radiation sensitive applications [HAR15].…”