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Rose K Cersonsky, Ph.D. - Publications

Affiliations: 
2010-2014 Materials Science and Engineering University of Connecticut, Storrs, CT, United States 
 2014-2019 Macromolecular Science and Engineering University of Michigan, Ann Arbor, Ann Arbor, MI 
 2019- Institute of Materials École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland 
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9/13 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2023 Goscinski A, Principe VP, Fraux G, Kliavinek S, Helfrecht BA, Loche P, Ceriotti M, Cersonsky RK. scikit-matter : A Suite of Generalisable Machine Learning Methods Born out of Chemistry and Materials Science. Open Research Europe. 3: 81. PMID 38234865 DOI: 10.12688/openreseurope.15789.2  0.429
2023 Pártay LB, Teich EG, Cersonsky RK. Not yet defect-free: the current landscape for women in computational materials research. Npj Computational Materials. 9: 98. PMID 37305611 DOI: 10.1038/s41524-023-01054-z  0.533
2023 Cersonsky RK, Pakhnova M, Engel EA, Ceriotti M. A data-driven interpretation of the stability of organic molecular crystals. Chemical Science. 14: 1272-1285. PMID 36756329 DOI: 10.1039/d2sc06198h  0.541
2021 Zhou Y, Cersonsky RK, Glotzer SC. A route to hierarchical assembly of colloidal diamond. Soft Matter. PMID 34878488 DOI: 10.1039/d1sm01418h  0.574
2021 Cersonsky RK, Antonaglia J, Dice BD, Glotzer SC. The diversity of three-dimensional photonic crystals. Nature Communications. 12: 2543. PMID 33953178 DOI: 10.1038/s41467-021-22809-6  0.569
2020 Fraux G, Cersonsky R, Ceriotti M. Chemiscope: interactive structure-property explorer for materials and molecules Journal of Open Source Software. 5: 2117. DOI: 10.21105/joss.02117  0.483
2020 Helfrecht BA, Cersonsky RK, Fraux G, Ceriotti M. Structure-property maps with Kernel principal covariates regression Machine Learning: Science and Technology. 1: 045021. DOI: 10.1088/2632-2153/aba9ef  0.42
2018 Cersonsky RK, van Anders G, Dodd PM, Glotzer SC. Relevance of packing to colloidal self-assembly. Proceedings of the National Academy of Sciences of the United States of America. PMID 29382766 DOI: 10.1073/Pnas.1720139115  0.573
2018 Cersonsky RK, Dshemuchadse J, Antonaglia J, Anders Gv, Glotzer SC. Pressure-tunable photonic band gaps in an entropic colloidal crystal Physical Review Materials. 2. DOI: 10.1103/Physrevmaterials.2.125201  0.56
Low-probability matches (unlikely to be authored by this person)
2021 Cersonsky RK, Helfrecht BA, Engel EA, Kliavinek S, Ceriotti M. Improving sample and feature selection with principal covariates regression Machine Learning: Science and Technology. 2: 035038. DOI: 10.1088/2632-2153/abfe7c  0.075
2017 Cersonsky RK, Foster LL, Ahn T, Hall RJ, Laan HLvd, Scott TF. Augmenting Primary and Secondary Education with Polymer Science and Engineering Journal of Chemical Education. 94: 1639-1646. DOI: 10.1021/Acs.Jchemed.6B00805  0.056
2023 Cersonsky TEK, Cersonsky RK, Saade GR, Silver RM, Reddy UM, Goldenberg RL, Dudley DJ, Pinar H. Placental lesions associated with stillbirth by gestational age, according to feature importance: Results from the stillbirth collaborative research network. Placenta. 137: 59-64. PMID 37080046 DOI: 10.1016/j.placenta.2023.04.005  0.044
2023 Cersonsky TEK, Cersonsky RK, Silver RM, Dudley DJ, Pinar H. Placental Lesions Associated With Stillbirth by Gestational Age, as Related to Cause of Death: Follow-Up Results From the Stillbirth Collaborative Research Network. Pediatric and Developmental Pathology : the Official Journal of the Society For Pediatric Pathology and the Paediatric Pathology Society. 10935266231197349. PMID 37749052 DOI: 10.1177/10935266231197349  0.029
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