It shortens molecular simulation time to a couple of days which could have taken weeks of pure quantum chemical calculations.

Here we make a summary of the upgrades in case you missed them!

Delta-learning is slower than pure ML models but the benefit is typically an increased robustness and accuracy.

MLatom provides you not just with many lego-bricks (both ML models and quantum chemical methods) but also with the powerful and intuitive tools to glue them together in arbitrarily complex workflows!

We have developed an interpretable machine learning approach based on experimental data which predicts two-photon absorption strength instantaneously with accuracy comparable to DFT.