Some Observations on the Performance of the Most Recent Exchange-Correlation Functionals for the Large and Chemically Diverse GMTKN55 Benchmark
Golokesh Santra, Jan M.L. Martin

TL;DR
This study evaluates the performance of recent exchange-correlation functionals on the GMTKN55 benchmark, revealing the importance of dispersion corrections, the effectiveness of combinatorial development, and identifying top-performing functionals like {}B97M(2).
Contribution
It provides a comprehensive assessment of the latest DFT functionals on a diverse benchmark, highlighting development strategies and the impact of dispersion models.
Findings
{}B97M(2) is currently the best DFT functional.
revDSD-D4 functionals achieve similar performance with fewer parameters.
D4 dispersion model outperforms D3BJ and NL models.
Abstract
Benchmarks that span a broad swath of chemical space, such as GMTKN55, are very useful for assessing progress in the quest for more universal DFT functionals. We find that the WTMAD2 metrics for a great number of functionals show a clear "Jacob's Ladder hierarchy"; that the "combinatorial" development strategy of Head-Gordon and coworkers generates "best on rung" performers; that the quality of the nonlocal dispersion correction becomes more important as functionals become more accurate for nondispersion properties; that fitting against small, unrepresentative benchmark sets leads to underperforming functionals; and that {\omega}B97M(2) is currently the best DFT functional of any kind, but that revDSD-D4 functionals are able to reach similar performance using fewer parameters, and that revDOD-D4 in addition permits reduced-scaling algorithms. If one seeks a range-separated hybrid (RSH)…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
