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Predicting ground state with novel quantum descriptor of molecules using QML #21
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I want to be a mentor in this project! |
I want to join, but do I need a major-level background in Chemistry / Materials science? |
I can mentor this project as well! |
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Could you DM me at the SLACK? |
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Abstract
Let's predict ground state energy with novel quantum descriptor!
Description
Ground state energy of molecules have been predicted using classical NN. To feed the NN information about molecules should be preprocessed properly. Lot of classical preprocessing techniques used such as ACSF, SOAP, However these descriptors are for classical settings, not accurate with large molecule and have fundamental limit(high lower bound).
With quantum computer we expect something better. We aim to find better "quantum" descriptor that can outperform classical settings assuming that both case possesses same amount of information. Specifically, we aim to beat the 2nd generation NN potentials.
Members
@slackhandle
email:example@example.com
Deliverable
Four Generations of High-Dimensional Neural Network Potentials, https://pubs.acs.org/doi/abs/10.1021/acs.chemrev.0c00868
GitHub repo
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