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Connecting Theory and Practice in Optoelectronics
It’s time again to reflect on my peer review experience over the past year. Supported by the availability of high-end commercial software, the number of journal paper submissions on optoelectronic device simulation keeps rising. However, authors often seem to view such software as “magic box” that instantaneously delivers realistic results. Some papers don’t even discuss the underlying theoretical models. Such models are based on specific assumptions that may or may not be satisfied in the given case. High-end software packages offer some alternative modeling approaches and let the user decide. In other words, the user should have a detailed understanding of internal device physics and of the modeling approaches provided by the software.
But this is only the first step of a successful simulation strategy. The next step is the evaluation of material parameters used in the software. Initial simulation results are typically far off measured characteristics because key parameters are incorrect. Literature values are widely scattered in some cases. If crucial parameters cannot be measured directly on the device, they should be varied in the simulation until quantitative agreement with measurements is achieved. The model itself may be inappropriate if such effort fails or if the fit value is outside the published range. Contradicting models could deliver nearly identical results (see picture) so that more decisive measurements are needed. Such calibration process is often difficult and time-consuming, but in my view, it is the only way to accomplish a realistic simulation. Otherwise, calculated results are unreliable and may lead to wrong conclusions. Read more of this post
This pictures provides an atomistic view of an InGaN/GaN quantum well . Inside this quantum well (QW), 17% of the Gallium atoms are replaced by Indium atoms which are here randomly distributed (red dots). Such QWs are employed in many modern light-emitting devices, from full-color displays to LED lamps. The emission wavelength is controlled by the Indium concentration.
QW models and device simulations typically ignore this atomistic structure and assume a uniform QW alloy layer with uniform material properties. Such continuum models still deliver reasonable results in many cases. But some phenomena are hard to explain this way and require an atomistic approach. One example is the much discussed efficiency droop that seems to be mainly caused by strong Auger recombination. Recent studies link this effect to the non-uniformity of InGaN quantum wells (details). Read more of this post
Our NUSOD handbook was finally published this month, comprising 1682 pages with 52 chapters written by more than 100 experts from all over the world. I think the handbook format is ideal for beginners but it is also useful for experienced researchers who would like to update and broaden their knowledge in this field.
Mathematical models and simulation methods for optoelectronic devices have experienced a great diversification, mainly driven by the expanding variety of available and envisioned practical applications. Furthermore, the development of commercial software opens the door for a rising number of scientists and engineers to perform sophisticated simulation tasks. However, it is often difficult to identify the best approach to a given problem, considering the ever growing variety and complexity of devices, materials, physical mechanisms, theoretical models, and numerical techniques. Therefore, this handbook offers an introductory yet detailed review of modern optoelectronic device models and simulation techniques. Read more of this post
Thus far, the highest output power measured on GaN-based lasers is about 7W, as shown in the picture.  In comparison, some GaAs-based lasers emit more than 30W in continuous-wave operation at room temperature. A key reason for this difference is the inherently large p-side electrical resistance of GaN-based laser diodes. It leads to strong Joule heating which lowers the gain and boosts various loss mechanisms that eventually cause the typical power roll-off at high currents.  Read more of this post
A record number of 128 papers was presented last week at the NUSOD 2017 conference, stimulating many valuable discussions. Summaries of all presentations are now available online. Poster prizes were awarded to papers MP01, MP25, and MP28. The rump session focused on improved publication methods as recently announced on this blog.
I would like to thank all participants and organizers for making this conference a great success and I hope to see many again next year at the 18th NUSOD conference in Hong Kong.