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Accelerating Radiation Damage Simulation Through Machine Learning
Online Presentations | 21 May 2024 | Contributor(s):: Vinay Gupta, Shrienidhi Gopalakrishnan, Brian Hyun-jong Lee, Alejandro Strachan
This study explores the challenge of material degradation from radiation exposure, a phenomenon that significantly impacts fields ranging from materials science to nuclear engineering and space exploration. As of today, the primary solution of conventional simulation techniques are...
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Andrew Joseph O'Connor
https://nanohub.org/members/124665
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Matthew Russell Halstead
https://nanohub.org/members/68938
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From density functional theory to defect level in silicon: Does the “band gap problem” matter?
Online Presentations | 01 Oct 2008 | Contributor(s):: Peter A. Schultz
Modeling the electrical effects of radiation damage in semiconductor devices requires a detailed description of the properties of point defects generated during and subsequent to irradiation. Such modeling requires physical parameters, such as defect electronic levels, to describe carrier...
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Cory D. Cress
https://nanohub.org/members/19085