Communications of the ACM
Computational Model Could Speed Development of Semiconductors for Quantum Applications
The model analyzed all possible combinations for chlorine and fluorine at defect sites and correctly predicted outcomes such as electronic and optical properties, ionization energy, and light emission from the doped ZnSe.
Credit: Doug Irving
North Carolina State University (NC State) scientists have developed a computational model that can forecast how doping semiconductor material zinc selenide (ZnSe) with halogen elements chlorine and fluorine changes its optical properties.
The model analyzed all possible chlorine-fluorine combinations at defect sites, and correctly anticipated electronic and optical properties, ionization energy, and light emission from the doped ZnSe.
NC State's Doug Irving said, "We can use [this method] to search for defects and interactions that might be interesting."
Altering how ZnSe absorbs or discharges light could enable researchers to use it in quantum applications that could operate at higher temperatures.
From NC State University News
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Abstracts Copyright © 2022 SmithBucklin, Washington, DC, USA
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