activity
20172024
most citedRelevance of Packing to Colloidal Self-Assembly

73 citations · 95 across the 6 of their papers we have counts for

collaborators

8 papers

physics.comp-ph2024

Expanding Density-Correlation Machine Learning Representations for Anisotropic Coarse-Grained Particles

Arthur Y. Lin, Kevin K. Huguenin-Dumittan, Yong-Cheol Cho +2

Physics-based, atom-centered machine learning (ML) representations have been instrumental to the effective integration of ML within the atomistic simulation community. Many of thes…

cond-mat.mtrl-sci2023

The rule of four: anomalous stoichiometries of inorganic compounds

Elena Gazzarrini, Rose K. Cersonsky, Marnik Bercx +2

Why are materials with specific characteristics more abundant than others? This is a fundamental question in materials science and one that is traditionally difficult to tackle, gi…

physics.chem-ph2022

A data-driven interpretation of the stability of molecular crystals

Rose K. Cersonsky, Maria Pakhnova, Edgar A. Engel +1

Due to the subtle balance of intermolecular interactions that govern structure-property relations, predicting the stability of crystal structures formed from molecular building blo…

cond-mat.mtrl-sci2021

A Route to Hierarchical Assembly of Colloidal Diamond

Yuan Zhou, Rose K. Cersonsky, Sharon C. Glotzer

Photonic crystals, appealing for their ability to control light, are constructed by periodic regions of different dielectric constants. Yet, the structural holy grail in photonic m…

physics.chem-ph2020

Improving Sample and Feature Selection with Principal Covariates Regression

Rose K. Cersonsky, Benjamin A. Helfrecht, Edgar A. Engel +1

Selecting the most relevant features and samples out of a large set of candidates is a task that occurs very often in the context of automated data analysis, where it can be used t…

stat.ML2020

Structure-Property Maps with Kernel Principal Covariates Regression

Benjamin A. Helfrecht, Rose K. Cersonsky, Guillaume Fraux +1

Data analyses based on linear methods constitute the simplest, most robust, and transparent approaches to the automatic processing of large amounts of data for building supervised…

cond-mat.mtrl-sci2018★ 22 cited

Pressure-Tunable Photonic Band Gaps in an Entropic Colloidal Crystal

Rose K. Cersonsky, Julia Dshemuchadse, James A. Antonaglia +2

Materials adopting the diamond structure possess useful properties in atomic and colloidal systems, and are a popular target for synthesis in colloids where a photonic band gap is…

cond-mat.soft2017★ 73 cited

Relevance of Packing to Colloidal Self-Assembly

Rose Cersonsky, Greg van Anders, Paul M. Dodd +1

Since the 1920s, packing arguments have been used to rationalize crystal structures in systems ranging from atomic mixtures to colloidal crystals. Packing arguments have recently b…