Overcoming Distrust in Solid State Simulations: Adding Error Bars to Computational Data

Simulations are progressively becoming an everyday tool for the understanding of materials. DFT is without any doubt the working horse in the vast majority of cases in which quantum mechanical effects need to be included for a correct description of the chemical problem. However, unlike other quantum-mechanical methods, DFT approaches cannot be improved in a systematic manner. This leads to distrust and the feeling that calculation parameters can be tuned with the explicit aim of matching the experimental results, even at the expense of the quality of the simulation. More specifically, it would appear that changing the functional can provide any desired quantity to match the experiment. Hereby, we focus on the nature of systematic simulation errors as compared to reproducibility–experimental ones. We show that DFT errors need to be estimated from bracketing physical descriptions. Highlighting the role of the main error affecting DFT calculations, the delocalization error, we show that HF and LDA provide b...