publications

2025

  1. Generative active learning across polymer architectures and solvophobicities for targeted rheological behavior
    S. Jiang and M. A. Webb
    npj Computational Materials, 2025
  2. Physics-guided neural networks for transferable property prediction in architecturally diverse copolymers
    S. Jiang and M. A. Webb
    Macromolecules, 2025
  3. Implementing topological data analysis for monitoring mass transfer during vacuum-assisted osmotic dehydration of apples
    J. E. González-Pérez, S. Jiang, O. Jiménez-González, and 5 more authors
    ACS Omega, 2025
  4. Accelerating multicomponent phase-coexistence calculations with physics-informed neural networks
    S. Dhamankar*, S. Jiang*, and M. A. Webb
    Molecular Systems Design & Engineering, 2025
  5. A digital twin simulator of a pastillation process with applications to automatic control based on computer vision
    L. D. Gonzalez, J. L. Pulsipher, S. Jiang, and 3 more authors
    Computers & Chemical Engineering, 2025

2024

  1. Understanding the interplay between electro-catalytic C(sp3)–C(sp3) fragmentation and oxygenation reactions
    C. Lucky, S. Jiang, C.-R. Shih, and 2 more authors
    Nature Catalysis, 2024
  2. Property-guided generation of complex polymer topologies using variational autoencoders
    S. Jiang, A. B. Dieng, and M. A. Webb
    npj Computational Materials, 2024
  3. Uncertainty quantification for molecular property predictions with graph neural architecture search
    S. Jiang, S. Qin, R. C. Van Lehn, and 2 more authors
    Digital Discovery, 2024
  4. Robust plastic waste classification using wavelet transform multi-resolution analysis and convolutional neural networks
    F. Long*, S. Jiang*, E. Bar-Ziv, and 1 more author
    Computers & Chemical Engineering, 2024

2023

  1. Scalable extraction of information from spatiotemporal patterns of chemoresponsive liquid crystals using topological descriptors
    S. Jiang, N. Bao, A. D. Smith, and 5 more authors
    The Journal of Physical Chemistry C, 2023
  2. Capturing molecular interactions in graph neural networks: a case study in multi-component phase equilibrium
    S. Qin, S. Jiang, J. Li, and 3 more authors
    Digital Discovery, 2023

2022

  1. Online characterization of mixed plastic waste using machine learning and mid-infrared spectroscopy
    F. Long*, S. Jiang*, A. G. Adekunle, and 2 more authors
    ACS Sustainable Chemistry & Engineering, 2022
  2. Sensing gas mixtures by analyzing the spatiotemporal optical responses of liquid crystals using 3D convolutional neural networks
    N. Bao*, S. Jiang*, A. Smith, and 5 more authors
    ACS Sensors, 2022

2021

  1. Using ATR-FTIR spectra and convolutional neural networks for characterizing mixed plastic waste
    S. Jiang, Z. Xu, M. Kamran, and 5 more authors
    Computers & Chemical Engineering, 2021
  2. Accurate characterization of mixed plastic waste using machine learning and fast infrared spectroscopy
    S. Zinchik, S. Jiang, S. Friis, and 4 more authors
    ACS Sustainable Chemistry & Engineering, 2021
  3. Convolutional neural nets in chemical engineering: Foundations, computations, and applications
    S. Jiang and V. M. Zavala
    AIChE Journal, 2021
  4. Using machine learning and liquid crystal droplets to identify and quantify endotoxins from different bacterial species
    S. Jiang, J. Noh, C. Park, and 3 more authors
    Analyst, 2021

2020

  1. Fast predictions of liquid-phase acid-catalyzed reaction rates using molecular dynamics simulations and convolutional neural networks
    A. K. Chew, S. Jiang, W. Zhang, and 2 more authors
    Chemical Science, 2020

2019

  1. Highly compact, free-standing porous electrodes from polymer-derived nanoporous carbons for efficient electrochemical capacitive deionization
    F. Ji, L. Wang, J. Yang, and 5 more authors
    Journal of Materials Chemistry A, 2019

2018

  1. Scalable synthesis of uniform nanosized microporous carbon particles from rigid polymers for rapid ion and molecule adsorption
    F. Ji, Y. Shi, M. Li, and 4 more authors
    ACS Applied Materials & Interfaces, 2018
  2. Understanding the electrochemical properties of naphthalene diimide: implication for stable and high-rate lithium-ion battery electrodes
    Y. Shi, H. Tang, S. Jiang, and 7 more authors
    Chemistry of Materials, 2018