Wave Functions, Density Functionals, and Artificial Intelligence for Materials and Energy Research: Future Prospects and Challenges-Reference-Cited by-同舟云学术

Wave Functions, Density Functionals, and Artificial Intelligence for Materials and Energy Research: Future Prospects and Challenges

Published:2017-12-07 Issue:1 Volume:3 Page:155-162
ISSN:2380-8195
Container-title:ACS Energy Letters
language:en
Short-container-title:ACS Energy Lett.

Author:

Mosquera Martín A.¹^ORCID,Fu Bo²,Kohlstedt Kevin L.¹^ORCID,Schatz George C.¹^ORCID,Ratner Mark A.¹

Affiliation:

1. Department of Chemistry and the Materials Research Center, Northwestern University, 2145 Sheridan Road, Evanston, Illinois 60208, United States

2. Department of Physics and Astronomy, Northwestern University, 2145 Sheridan Road, Evanston, Illinois 60208, United States

Publisher

American Chemical Society (ACS)

Subject

Materials Chemistry,Energy Engineering and Power Technology,Fuel Technology,Renewable Energy, Sustainability and the Environment,Chemistry (miscellaneous)

Link

https://pubs.acs.org/doi/pdf/10.1021/acsenergylett.7b01058

Reference67 articles.

1. Potential Functional Embedding Theory at the Correlated Wave Function Level. 2. Error Sources and Performance Tests

2. The polarizable embedding coupled cluster method

3. Introduction to Quantum Information and Computation for Chemistry

4. A natural linear scaling coupled-cluster method

5. Linear scaling multireference singles and doubles configuration interaction

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