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Rose K. Cersonsky
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The diversity of three-dimensional photonic crystals
RK Cersonsky, J Antonaglia, BD Dice, SC Glotzer
Nature communications 12 (1), 2543, 2021
842021
Relevance of packing to colloidal self-assembly
RK Cersonsky, G van Anders, PM Dodd, SC Glotzer
Proceedings of the National Academy of Sciences 115 (7), 1439-1444, 2018
752018
Structure-Property Maps with Kernel Principal Covariates Regression
BA Helfrecht, RK Cersonsky, G Fraux, M Ceriotti
Machine Learning: Science and Technology 1 (4), 2020
422020
Improving Sample and Feature Selection with Principal Covariates Regression
RK Cersonsky, BA Helfrecht, EA Engel, M Ceriotti
Machine Learning: Science and Technology, 2021
362021
Chemiscope: interactive structure-property explorer for materials and molecules
G Fraux, R Cersonsky, M Ceriotti
282020
Pressure-Tunable Photonic Band Gaps in an Entropic Colloidal Crystal
RK Cersonsky, J Dshemuchadse, JA Antonaglia, G van Anders, ...
Phys. Rev. Materials 2, 125201, 2018
222018
Augmenting primary and secondary education with polymer science and engineering
RK Cersonsky, LL Foster, T Ahn, RJ Hall, HL Van Der Laan, TF Scott
Journal of Chemical Education 94 (11), 1639-1646, 2017
222017
scikit-matter: A suite of generalisable machine learning methods born out of chemistry and materials science
A Goscinski, VP Principe, G Fraux, S Kliavinek, BA Helfrecht, P Loche, ...
Open Research Europe 3, 2023
122023
A data-driven interpretation of the stability of organic molecular crystals
RK Cersonsky, M Pakhnova, EA Engel, M Ceriotti
Chemical Science 14 (5), 1272-1285, 2023
72023
Placental lesions associated with stillbirth by gestational age, according to feature importance: results from the stillbirth collaborative research network
TEK Cersonsky, RK Cersonsky, GR Saade, RM Silver, UM Reddy, ...
Placenta 137, 59-64, 2023
52023
A route to hierarchical assembly of colloidal diamond
Y Zhou, RK Cersonsky, SC Glotzer
Soft Matter 18 (2), 304-311, 2022
52022
The rule of four: anomalous distributions in the stoichiometries of inorganic compounds
E Gazzarrini, RK Cersonsky, M Bercx, CS Adorf, N Marzari
Npj Computational Materials 10 (1), 73, 2024
4*2024
Not yet defect-free: the current landscape for women in computational materials research
LB Pártay, EG Teich, RK Cersonsky
NPJ Computational Materials 9 (1), 98, 2023
32023
Unsupervised learning
RK Cersonsky, S De
Quantum Chemistry in the age of Machine Learning, 153-181, 2023
22023
35+ 1 challenges in materials science being tackled by PIs under 35 (ish) in 2023
M Allen, K Bediako, WJ Bowman, M Calabrese, L Caretta, RK Cersonsky, ...
Matter 6 (8), 2480-2487, 2023
12023
Expanding density-correlation machine learning representations for anisotropic coarse-grained particles
A Lin, KK Huguenin-Dumittan, YC Cho, J Nigam, RK Cersonsky
The Journal of Chemical Physics 161 (7), 2024
2024
Machine Learning for Generating and Analyzing Thermophysical Data: Where We Are and Where We’re Going
RK Cersonsky, B Cheng, D Kofke, EA Müller
Journal of Chemical & Engineering Data 69 (6), 2041-2043, 2024
2024
Anisotropic Machine Learning Representations for Multiscale Systems
A Lin, K Huguenin-Dumittan, J Nigam, YC Cho, R Cersonsky
Bulletin of the American Physical Society, 2024
2024
Determining the Limit of Extrapolation for Macromolecular Machine Learning Potentials
N Hooven, R Cersonsky
Bulletin of the American Physical Society, 2024
2024
Placental Lesions Associated With Stillbirth by Gestational Age, as Related to Cause of Death: Follow-Up Results From the Stillbirth Collaborative Research Network
TEK Cersonsky, RK Cersonsky, RM Silver, DJ Dudley, H Pinar
Pediatric and Developmental Pathology 27 (1), 39-44, 2024
2024
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Articles 1–20