{"_id":"HQjiBbLnuAzZWJ2Jr","bibbaseid":"kong-ricci-guevarra-neaton-gomes-gregoire-densityofstatespredictionformaterialsdiscoveryviacontrastivelearningfromprobabilisticembeddings-2022","author_short":["Kong, S.","Ricci, F.","Guevarra, D.","Neaton, J. B","Gomes, C. P","Gregoire, J. M"],"bibdata":{"bibtype":"article","type":"article","title":"Density of states prediction for materials discovery via contrastive learning from probabilistic embeddings","author":[{"propositions":[],"lastnames":["Kong"],"firstnames":["Shufeng"],"suffixes":[]},{"propositions":[],"lastnames":["Ricci"],"firstnames":["Francesco"],"suffixes":[]},{"propositions":[],"lastnames":["Guevarra"],"firstnames":["Dan"],"suffixes":[]},{"propositions":[],"lastnames":["Neaton"],"firstnames":["Jeffrey","B"],"suffixes":[]},{"propositions":[],"lastnames":["Gomes"],"firstnames":["Carla","P"],"suffixes":[]},{"propositions":[],"lastnames":["Gregoire"],"firstnames":["John","M"],"suffixes":[]}],"journal":"Nature communications","volume":"13","number":"1","pages":"949","year":"2022","publisher":"Nature Publishing Group UK London","bibtex":"@article{kong2022density,\n title={Density of states prediction for materials discovery via contrastive learning from probabilistic embeddings},\n author={Kong, Shufeng and Ricci, Francesco and Guevarra, Dan and Neaton, Jeffrey B and Gomes, Carla P and Gregoire, John M},\n journal={Nature communications},\n volume={13},\n number={1},\n pages={949},\n year={2022},\n publisher={Nature Publishing Group UK London}\n}\n\n","author_short":["Kong, S.","Ricci, F.","Guevarra, D.","Neaton, J. B","Gomes, C. P","Gregoire, J. M"],"key":"kong2022density","id":"kong2022density","bibbaseid":"kong-ricci-guevarra-neaton-gomes-gregoire-densityofstatespredictionformaterialsdiscoveryviacontrastivelearningfromprobabilisticembeddings-2022","role":"author","urls":{},"metadata":{"authorlinks":{}},"html":""},"bibtype":"article","biburl":"https://bibbase.org/network/files/b8o7AhSvYNGn6xBLC","dataSources":["HDTuyXm4RZ9mmF8Bk"],"keywords":[],"search_terms":["density","states","prediction","materials","discovery","via","contrastive","learning","probabilistic","embeddings","kong","ricci","guevarra","neaton","gomes","gregoire"],"title":"Density of states prediction for materials discovery via contrastive learning from probabilistic embeddings","year":2022}