Defect Formation Energies without the Band-Gap Problem: Combining DFT and GW for the Silicon Self-Interstitial

Physics – Condensed Matter – Materials Science

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

4 pages including 3 figures; related publications can be found at http://www.fhi-berlin.mpg.de/th/th.html

Scientific paper

10.1103/PhysRevLett.102.026402

We present an improved method to calculate defect formation energies that overcomes the band-gap problem of Kohn-Sham density-functional theory (DFT) and reduces the self-interaction error of the local-density approximation (LDA) to DFT. We demonstrate for the silicon self-interstitial that combining LDA with quasiparticle energy calculations in the G0W0 approach increases the defect formation energy of the neutral charge state by ~1.1 eV, which is in good agreement with diffusion Monte Carlo calculations (E. R. Batista et al. Phys. Rev. B 74, 121102(R) (2006), W.-K. Leung et al. Phys. Rev. Lett. 83, 2351 (1999)). Moreover, the G0W0-corrected charge transition levels agree well with recent measurements.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Defect Formation Energies without the Band-Gap Problem: Combining DFT and GW for the Silicon Self-Interstitial does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Defect Formation Energies without the Band-Gap Problem: Combining DFT and GW for the Silicon Self-Interstitial, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Defect Formation Energies without the Band-Gap Problem: Combining DFT and GW for the Silicon Self-Interstitial will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-193271

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.