DFT Functionals Quiz

by Jonathon Vandezande · Jan 10, 2025

Ready to test your knowledge of density-functional-theory functionals (minus dispersion corrections) in a multiple-choice game of "real or fake"?

1. M05-L

2. PBE

3. MS1

4. revPBE0

5. PBX

6. ωB97X-2

7. B3LYP

8. B97

9. QQQ

10. M06-L

11. MS13

12. DSD-PBEPBE

13. LINK

14. B2PLYP2PLYP

15. ΩB97X

16. TPSSh

17. B5LYP

18. revB3LYP2

19. ωB97X

20. BLIP

21. CAM-B5LYP

22. BLYP

23. B97M

24. M06-2X

25. ωB97M(2)

26. B97R

27. ωB97M

28. TPSS

29. MINIX

30. ωM05

This quiz is modified from a version originally made for Rowan's employees. The real functionals are derived from those suggested in the QChem manual. The fake ones were deliberately designed to baffle even the most seasoned DFT experts. To learn more about the various classes of DFT functionals, how they're constructed, and which ones Rowan recommends, check out our article on The "Charlotte's Web" of Density-Functional Theory (DFT).

Banner background image

What to Read Next

Partnering with Macrocosmos to Accelerate Next-Generation NNP Development

Partnering with Macrocosmos to Accelerate Next-Generation NNP Development

Starting today, Rowan is teaming up with Macrocosmos to accelerate the development of the next generation of NNPs through Bittensor Subnet 25 - Mainframe.
May 1, 2025 · Ari Wagen
Introducing Egret-1

Introducing Egret-1

trusting computation; speed vs accuracy; Egret-1, Egret-1e, and Egret-1t; benchmarks; speed on CPU and GPU; download Egret-1 or use it through Rowan
Apr 30, 2025 · Eli Mann, Corin Wagen, Jonathon Vandezande, Ari Wagen, and Spencer Schneider
Egret-1: Pretrained Neural Network Potentials For Efficient and Accurate Bioorganic Simulation

Egret-1: Pretrained Neural Network Potentials For Efficient and Accurate Bioorganic Simulation

Here, we present Egret-1, a family of large pre-trained NNPs based on the MACE architecture with general applicability to main-group, organic, and biomolecular chemistry.
Apr 30, 2025 · Elias L. Mann, Corin C. Wagen, Jonathon E. Vandezande, Arien M. Wagen, Spencer C. Schneider
Introducing Egret-1

Introducing Egret-1

Today, we're releasing Egret-1, a family of open-source NNPs for bioorganic simulation.
Apr 30, 2025 · Eli Mann, Corin Wagen, Jonathon Vandezande, Ari Wagen, and Spencer Schneider
Starling: Macroscopic pKa, logD, and Blood–Brain-Barrier Permeability

Starling: Macroscopic pKa, logD, and Blood–Brain-Barrier Permeability

microscopic vs. macroscopic pKa; Uni-pKa and Starling; microstate ensembles; logD and Kp,uu predictions
Apr 25, 2025 · Corin Wagen
Physics-Informed Machine Learning Enables Rapid Macroscopic pKa Prediction

Physics-Informed Machine Learning Enables Rapid Macroscopic pKa Prediction

Here we introduce Starling, a physics-informed neural network based on the Uni-pKa architecture trained to predict per-microstate free energies and compute macroscopic pKa values via thermodynamic ensemble modeling.
Apr 25, 2025 · Corin C. Wagen
Predicting Infrared Spectra and Orb-v3

Predicting Infrared Spectra and Orb-v3

light and its manifold interactions with matter; why IR spectroscopy is useful; predicting IR spectra through Rowan; Orb-v3
Apr 17, 2025 · Ari Wagen, Corin Wagen, and Jonathon Vandezande
What's in a Name?

What's in a Name?

Why our company is named after a tree with no obvious connection to what we do.
Apr 11, 2025 · Corin Wagen and Ari Wagen
2D Scans, More Fukui Options, & Max Concurrency

2D Scans, More Fukui Options, & Max Concurrency

escape from scan-land; making More O'Ferrall–Jencks plots in Rowan; extending Fukui calculations to more levels of theory; managing large numbers of concurrent jobs
Apr 10, 2025 · Corin Wagen, Ari Wagen, Spencer Schneider, and Jonathon Vandezande
Can AI Can Accelerate Scientific Research?

Can AI Can Accelerate Scientific Research?

New research from Aiden Toner-Rodgers at MIT suggests the answer is yes, but with important caveats.
Apr 2, 2025 · Corin Wagen