Paolo Elvati

According to our database, Paolo Elvati authored at least 8 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2025

Machine learning models for Si nanoparticle growth in nonthermal plasma.

Matt Raymond, Paolo Elvati, Jacob Charles Saldinger, Jonathan Lin, Xuetao Shi, Angela Violi

CoRR, January, 2025

2024

Universal Feature Selection for Simultaneous Interpretability of Multitask Datasets.

Matt Raymond, Jacob Charles Saldinger, Paolo Elvati, Clayton Scott, Angela Violi

CoRR, 2024

2023

Domain-agnostic predictions of nanoscale interactions in proteins and nanoparticles.

Jacob Saldinger, Matt Raymond, Paolo Elvati, Angela Violi

Nat. Comput. Sci., 2023

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

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

2020

A deep learning architecture for metabolic pathway prediction.

Mayank Baranwal, Abram Magner, Paolo Elvati, Jacob Saldinger, Angela Violi, Alfred O. Hero III

Bioinform., 2020

2017

Model Reduction in Chemical Reaction Networks: A Data-Driven Sparse-Learning Approach.

Omar A. Khalil, Farshad Harirchi, Doohyun Kim, Sijia Liu, Paolo Elvati, Angela Violi, Alfred O. Hero III

CoRR, 2017

A Data-Driven Sparse-Learning Approach to Model Reduction in Chemical Reaction Networks.

Farshad Harirchi, Omar A. Khalil, Sijia Liu, Paolo Elvati, Angela Violi, Alfred O. Hero III

CoRR, 2017