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Physical Sciences · Engineering

Radiation Effects in Electronics
Research Guide

What is Radiation Effects in Electronics?

Radiation Effects in Electronics is the study of challenges and techniques for fault tolerance in electronic systems exposed to radiation, focusing on soft errors, single event upsets, and transient faults in CMOS technology.

This field encompasses 46,389 works addressing error detection, reliability evaluation, and mitigation strategies in nanoelectronics. Key concerns include soft errors and single event upsets induced by radiation in CMOS devices. Research spans foundational error-correcting codes to advanced verification methods for dependable systems.

Topic Hierarchy

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graph TD D["Physical Sciences"] F["Engineering"] S["Electrical and Electronic Engineering"] T["Radiation Effects in Electronics"] D --> F F --> S S --> T style T fill:#DC5238,stroke:#c4452e,stroke-width:2px
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46.4K
Papers
N/A
5yr Growth
377.8K
Total Citations

Research Sub-Topics

Why It Matters

Radiation effects impact electronic reliability in space missions, nuclear facilities, and high-altitude aviation, where single event upsets can cause transient faults in CMOS circuits. Hamming (1950) introduced error detecting and correcting codes that detect and fix transmission errors, enabling fault-tolerant communication systems with applications in early computing and telecommunications. Blahut (1983) detailed theory and practice of error control codes, supporting reliability in modern nanoelectronics against radiation-induced soft errors, as evidenced by over 2,000 citations each for these works.

Reading Guide

Where to Start

"Error Detecting and Error Correcting Codes" by R. W. Hamming (1950) is the starting point, as it introduces foundational parity-check codes essential for understanding radiation-induced error mitigation in electronics.

Key Papers Explained

Hamming (1950) lays the groundwork for error-correcting codes, extended by Gallager and Peterson (1962) in "Error-Correcting Codes." Blahut (1983) builds on these in "Theory and practice of error control codes," applying theory to practical systems. Chauhan et al. (2014) evaluate modern implementations in "ERROR DETECTING AND ERROR CORRECTING CODES," comparing convolutional codes for radiation-like errors. Clarke et al. (1996) and Bryant (1992) connect verification methods to reliability analysis.

Paper Timeline

100%
graph LR P0["Error Detecting and Error Correc...
1950 · 5.0K cites"] P1["Range and stopping-power tables ...
1970 · 2.7K cites"] P2["Symbolic model checking
1996 · 2.8K cites"] P3["Valgrind
2007 · 2.2K cites"] P4["Graphene transistors
2010 · 5.1K cites"] P5["ERROR DETECTING AND ERROR CORREC...
2014 · 3.2K cites"] P6["P4
2014 · 2.7K cites"] P0 --> P1 P1 --> P2 P2 --> P3 P3 --> P4 P4 --> P5 P5 --> P6 style P4 fill:#DC5238,stroke:#c4452e,stroke-width:2px
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Most-cited paper highlighted in red. Papers ordered chronologically.

Advanced Directions

Current work emphasizes symbolic model checking (Clarke et al. 1996) and binary-decision diagrams (Bryant 1992) for verifying fault tolerance in nano-CMOS, with dynamic instrumentation (Nethercote and Seward 2007) for runtime analysis.

Papers at a Glance

# Paper Year Venue Citations Open Access
1 Graphene transistors 2010 Nature Nanotechnology 5.1K
2 Error Detecting and Error Correcting Codes 1950 Bell System Technical ... 5.0K
3 ERROR DETECTING AND ERROR CORRECTING CODES 2014 3.2K
4 Symbolic model checking 1996 Lecture notes in compu... 2.8K
5 Range and stopping-power tables for heavy ions 1970 Atomic Data and Nuclea... 2.7K
6 P4 2014 ACM SIGCOMM Computer C... 2.7K
7 Valgrind 2007 2.2K
8 Theory and practice of error control codes 1983 Virtual Defense Librar... 2.1K
9 Error-Correcting Codes. 1962 Mathematics of Computa... 2.1K
10 Symbolic Boolean manipulation with ordered binary-decision dia... 1992 ACM Computing Surveys 2.0K

Frequently Asked Questions

What are soft errors in radiation effects on electronics?

Soft errors are transient faults in CMOS technology caused by radiation, such as single event upsets, that alter stored data without permanent damage. They require error detection and correction mechanisms for mitigation. Studies like Hamming (1950) provide foundational codes to address these in communication systems.

How do error-correcting codes mitigate radiation effects?

Error-correcting codes detect and correct errors introduced by radiation in electronic systems, as shown in Hamming (1950) and Blahut (1983). Chauhan et al. (2014) evaluated mechanisms for convolutional encoders under AWGN, selecting optimal codes based on accuracy, complexity, and power. These codes ensure fault tolerance in nanoelectronics.

What role does CMOS technology play in radiation vulnerability?

CMOS technology is prone to single event upsets and soft errors from radiation, central to this field's 46,389 works. Mitigation involves reliability evaluation and transient fault techniques. Papers like Hamming (1950) and Gallager and Peterson (1962) underpin error correction for CMOS dependability.

What are single event upsets?

Single event upsets are radiation-induced changes in CMOS memory states, classified as soft errors. They demand fault tolerance methods like error detection codes. Hamming (1950) established parity-check codes that identify and correct such upsets in electronic systems.

How is reliability evaluated in radiation-affected electronics?

Reliability evaluation assesses transient faults and soft errors using model checking and verification tools. Clarke et al. (1996) applied symbolic model checking for system dependability. Bryant's (1992) ordered binary-decision diagrams enable efficient Boolean manipulation for error analysis.

What are key methods for error detection in nanoelectronics?

Key methods include convolutional codes and symbolic verification for radiation effects. Chauhan et al. (2014) compared error mechanisms for accuracy and power efficiency. Nethercote and Seward (2007) used dynamic binary instrumentation in Valgrind for runtime error detection.

Open Research Questions

  • ? How can error-correcting codes be optimized for low-power nanoelectronics under high-radiation environments?
  • ? What verification techniques best model single event upsets in advanced CMOS nodes?
  • ? How do soft error rates scale with shrinking transistor sizes in radiation-exposed systems?
  • ? Which fault tolerance strategies minimize overhead in real-time embedded systems facing transient faults?
  • ? How effectively do ordered binary-decision diagrams predict radiation-induced failures in complex circuits?

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