A Data-Driven Sparse-Learning Approach to Model Reduction in Chemical Reaction Networks. - Farshad Harirchi; Omar A. Khalil; Sijia Liu 001; Paolo Elvati; Angela Violi; Alfred O. Hero III (CoRR, 2017)

Model Reduction in Chemical Reaction Networks: A Data-Driven Sparse-Learning Approach. - Omar A. Khalil; Farshad Harirchi; Doohyun Kim; Sijia Liu 001; Paolo Elvati; Angela Violi; Alfred O. Hero III (CoRR, 2017)

A deep learning architecture for metabolic pathway prediction. - Mayank Baranwal; Abram Magner; Paolo Elvati; Jacob Saldinger; Angela Violi; Alfred O. Hero III (Bioinform., 2020)

A Multiphysics Modeling of Electromagnetic Signaling Phenomena at kHz-GHz Frequencies in Bacterial Biofilms. - Navid Barani; Kamal Sarabandi; Nicholas A. Kotov; J. Scott Vanepps; Paolo Elvati; Yichun Wang; Angela Violi (IEEE Access, 2022)

Struct2Graph: a graph attention network for structure based predictions of protein-protein interactions. - Mayank Baranwal; Abram Magner; Jacob Saldinger; Emine Sumeyra Turali-Emre; Paolo Elvati; Shivani Kozarekar; J. Scott Vanepps; Nicholas A. Kotov; Angela Violi; Alfred O. Hero III (BMC Bioinform., 2022)

Domain-agnostic predictions of nanoscale interactions in proteins and nanoparticles. - Jacob Saldinger; Matt Raymond; Paolo Elvati; Angela Violi (Nat. Comput. Sci., 2023)

Universal Feature Selection for Simultaneous Interpretability of Multitask Datasets. - Matt Raymond; Jacob Charles Saldinger; Paolo Elvati; Clayton Scott; Angela Violi (CoRR, 2024)

Machine learning models for Si nanoparticle growth in nonthermal plasma. - Matt Raymond; Paolo Elvati; Jacob Charles Saldinger; Jonathan Lin; Xuetao Shi; Angela Violi (CoRR, 2025)