Publications
] . Using Classifiers to Understand Coarse-grained Models and Their Fidelity with the Underlying All-Atom Systems. J. Chem. Phys. Submitted .
. Utilizing Machine Learning to Greatly Expand the Range and Accuracy of Bottom-Up Coarse-Grained Models through Virtual Particles. J. Chem. Theory Comput. In Press .
. Bottom-up Coarse-Graining: Principles and Perspectives. J. Chem. Theory Comput. 2022 ;18(10):5759–5791.
. Adversarial-Residual-Coarse-Graining: Applying Machine Learning Theory to Systematic Molecular Coarse-Graining. J. Chem. Phys. 2019 ;151(12):124110.
. Compatible Observable Decompositions for Coarse-grained Representations of Real Molecular Systems. J. Chem. Phys. 2019 ;151(13):134115.
. Insights into the Cooperative Nature of ATP Hydrolysis in Actin Filaments. Biophys. J. 2018 ;115(18):1589–1602.