Travis Kessler

Research

  • CO2 and HDPE Upcycling: A Plasma Catalysis Alternative

    Fnu Gorky, Apolo Nambo, Travis J. Kessler, J. Hunter Mack, Maria L. Carreon

    Industrial & Engineering Chemistry Research (2023) · DOI

    • Plasma

  • Artificial Neural Network Models for Octane Number and Octane Sensitivity: A Quantitative Structure Property Relationship Approach to Fuel Design

    Amina SubLaban, Travis Kessler, Noah Van Dam, J. Hunter Mack

    Journal of Energy Resources Technology (2023) · DOI

    • ML
    • QSAR
    • Biofuels

  • Predicting the Cetane Number, Sooting Tendency, and Energy Density of Terpene Fuel Additives

    Travis Kessler, Amina SubLaban, J. Hunter Mack

    ASME Internal Combustion Engine Division Fall Technical Conference (2022) · DOI

    • ML
    • Biofuels
    • Sooting
    • Combustion

  • Evaluating Diesel/Biofuel Blends Using Artificial Neural Networks and Linear/Nonlinear Equations

    Travis Kessler, Thomas Schwartz, Hsi-Wu Wong, J. Hunter Mack

    ASME Internal Combustion Engine Division Fall Technical Conference (2021) · DOI

    • ML
    • Biofuels
    • Combustion

  • Predicting the Cetane Number, Yield Sooting Index, Kinematic Viscosity, and Cloud Point for Catalytically Upgraded Pyrolysis Oil Using Artificial Neural Networks

    Travis Kessler, Thomas Schwartz, Hsi-Wu Wong, J. Hunter Mack

    ASME Internal Combustion Engine Division Fall Technical Conference (2020) · DOI

    • ML
    • Biofuels
    • Sooting
    • Combustion

  • A comparison of computational models for predicting yield sooting index

    Travis Kessler, Peter C. St. John, Junqing Zhu, Charles S. McEnally, Lisa D. Pfefferle, J. Hunter Mack

    Proceedings of the Combustion Institute (2020) · DOI

    • ML
    • Sooting
    • Combustion

  • Screening Compounds for Fast Pyrolysis and Catalytic Biofuel Upgrading Using Artificial Neural Networks

    Travis Kessler, Thomas Schwartz, Hsi-Wu Wong, J. Hunter Mack

    ASME Internal Combustion Engine Division Fall Technical Conference (2019) · DOI

    • ML
    • Biofuels
    • Combustion

  • ECabc: A feature tuning program focused on Artificial Neural Network hyperparameters

    Sanskriti Sharma, Hernan Gelaf-Romer, Travis Kessler, J. Hunter Mack

    Journal of Open Source Software (2019) · DOI

    • ML
    • Open source

  • Artificial neural network based predictions of cetane number for furanic biofuel additives

    Travis Kessler, Eric Sacia, Alexis Bell, J. Hunter Mack

    Fuel (2017) · DOI

    • ML
    • QSAR
    • Biofuels

  • Application of a Rectified Linear Unit (ReLU) Based Artificial Neural Network to Cetane Number Predictions

    Travis Kessler, Gregory Dorian, J. Hunter Mack

    ASME Internal Combustion Engine Division Fall Technical Conference (2017) · DOI

    • ML
    • Biofuels
    • Combustion

  • ECNet: Large scale machine learning projects for fuel property prediction

    Travis Kessler, J. Hunter Mack

    Journal of Open Source Software (2017) · DOI

    • ML
    • Open source
    • Biofuels

  • Predicting the Cetane Number of Furanic Biofuel Candidates Using an Improved Artificial Neural Network Based on Molecular Structure

    Travis Kessler, Eric Sacia, Alexis Bell, J. Hunter Mack

    ASME Internal Combustion Engine Division Fall Technical Conference (2016) · DOI

    • ML
    • QSAR
    • Biofuels
    • Combustion

Presentations

  • Analysis of Inlier and Outlier Compounds with respect to Artificial Neural Network Cetane Number Prediction Accuracy

    Amina SubLaban, Travis Kessler, J. Hunter Mack

    Eastern States Section of the Combustion Institute Spring Technical Meeting (2022)

    • ML
    • Biofuels
    • Combustion

  • Predicting Research and Motor Octane Number using a Single Artificial Neural Network

    Travis Kessler, Amina SubLaban, J. Hunter Mack

    American Chemical Society Fall Conference (2021)

    • ML
    • Biofuels

  • Prediction of Research/Motor Octane Number and Octane Sensitivity Using Artificial Neural Networks

    Travis Kessler, Corey Hudson, Leanne Whitmore, J. Hunter Mack

    Eastern States Section of the Combustion Institute Spring Technical Meeting (2020)

    • ML
    • Biofuels
    • Combustion

  • A Computational Approach to Screening Alternative Fuel Candidates

    J. Hunter Mack, Travis Kessler

    New England Energy Research Forum (2019)

    • ML
    • Biofuels

  • Predicting Biofuel Properties with an Artificial Neural Network

    Travis Kessler, J. Hunter Mack

    UMass Lowell Student Research and Engagement Symposium (2016)

    • ML
    • Biofuels