Design and Implementation of pyPRISM: A Polymer Liquid-State Theory Framework. - Tyler B. Martin; Thomas E. Gartner III; Ronald L. Jones; Chad R. Snyder; Arthi Jayaraman (SciPy, 2018)

Self-supervised machine learning model for analysis of nanowire morphologies from transmission electron microscopy images. - Shizhao Lu; Brian Montz; Todd Emrick; Arthi Jayaraman (CoRR, 2022)

Pair-Variational Autoencoders (PairVAE) for Linking and Cross-Reconstruction of Characterization Data from Complementary Structural Characterization Techniques. - Shizhao Lu; Arthi Jayaraman (CoRR, 2023)

Towards MatCore: A Unified Metadata Standard for Materials Science. - Jane Greenberg; Pámela Bóveda-Aguirre; John Allison; Pietro Asinari; Maria Chan; Anand Chandrasekaran; Elif Ertekin; Emmanouel Garoufallou; Giulia Galli; Paolo Giannozzi; Feliciano Giustino; Gerhard Goldbeck; et al. (MTSR, 2024)

Machine Learning for Analyzing Atomic Force Microscopy (AFM) Images Generated from Polymer Blends. - Aanish Paruchuri; Yunfei Wang; Xiaodan Gu; Arthi Jayaraman (CoRR, 2024)

Machine Learning for Identifying Grain Boundaries in Scanning Electron Microscopy (SEM) Images of Nanoparticle Superlattices. - Aanish Paruchuri; Carl Thrasher; A. J. Hart; Robert MacFarlane; Arthi Jayaraman (CoRR, 2025)

CREASE-2D Analysis of Small Angle X-ray Scattering Data from Supramolecular Dipeptide Systems. - Nitant Gupta; Sri V. V. R. Akepati; Simona Bianco; Jay Shah; Dave J. Adams; Arthi Jayaraman (CoRR, 2025)