Towards the Quantum Machine: Using Scalable Machine Learning Methods to Predict Photovoltaic Efficacy of Organic Molecules
Recent advances in machine learning have resulted in an upsurge of interest in developing a “quantum machine”, a technique of simulating and predicting quantum-chemical properties on the molecular level. This paper explores the development of a large-scale quantum machine in the context of accuratel...
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| Language: | en_US |
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Harvard University
2014
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| Online Access: | http://nrs.harvard.edu/urn-3:HUL.InstRepos:12553271 |