• Composing graph theory and deep neural networks to evaluate SEU type soft error effectsBalakrishnan, Aneesh; Lange, Thomas; Glorieux, Maximilien; Alexandrescu, Dan; Jenihhin, Maksim9th Mediterranean Conference on Embedded Computing (MECO'2020), Budva, Montenegro, 8-11 June 20202020 https://doi.org/10.1109/MECO49872.2020.9134279
• Modeling gate-level abstraction hierarchy using graph convolutional neural networks to predict functional de-rating factorsBalakrishnan, Aneesh; Lange, Thomas; Glorieux, Maximilien; Alexandrescu, Dan; Jenihhin, Maksim2019 NASA/ESA conference on adaptive hardware and systems AHS 2019 : proceedings2019 / p. 72-78 : ill https://doi.org/10.1109/AHS.2019.00007
• SEU study of wideband heterostructure diode for particle detectionPatankar, Udayan Sunil; Koel, Ants2021 IEEE International Conference on Consumer Electronics (ICCE)2021 / 4 p. : ill https://doi.org/10.1109/ICCE50685.2021.9427613 https://www.scopus.com/sourceid/26010 https://www.scopus.com/record/display.uri?eid=2-s2.0-85106001116&origin=inward&txGid=213c070857afd99405ffe0aa33165574 https://www.webofscience.com/wos/woscc/full-record/WOS:000675600200033