Andy Tek

Publications

• Chemical Foundation Model-Guided Design of High Ionic Conductivity Electrolyte Formulations

  • • Murtaza Zohair
    • Vidushi Sharma
    • et al.
  • 2025
  • npj Computational Materials

• Extracting Electrolyte Design from Interpretable Data-Driven Methods

  • • Vidushi Sharma
    • Maxwell Giammona
    • et al.
  • 2025
  • ACS Spring 2025

• Improving electrolyte performance for target cathode loading using an interpretable data-driven approach

  • • Vidushi Sharma
    • Andy Tek
    • et al.
  • 2024
  • Cell Reports Physical Science

• Formulation Graphs for Mapping Structure-Composition of Battery Electrolytes to Device Performance

  • • Vidushi Sharma
    • Maxwell Giammona
    • et al.
  • 2023
  • J. Chem. Inf. Model.

• AI-directed discovery of high entropy electrolyte formulations for batteries using interhalogen cathodes and lithium metal anodes

  • • Maxwell Giammona
    • Vidushi Sharma
    • et al.
  • 2023
  • ACS Fall 2023

• Understanding the role of mass transport and lithium interphase design in enabling conversion batteries

  • • Murtaza Zohair
    • Maxwell Giammona
    • et al.
  • 2023
  • ACS Fall 2023

• Accelerated Electrolyte Discovery using Data Driven Approach

  • • Vidushi Sharma
    • Maxwell Giammona
    • et al.
  • 2023
  • ACS Fall 2023

• Oxygen Assisted Lithium-Iodine Batteries: Towards Practical Iodine Cathodes and Viable Lithium Metal Protection Strategies

  • • Maxwell J. Giammona
    • Jangwoo Kim
    • et al.
  • 2023
  • Advanced Materials Interfaces

• Going beyond High Throughput Screening towards AI in Accelerated Electrolyte Discovery

  • • Vidushi Sharma
    • Maxwell Giammona
    • et al.
  • 2022
  • MRS Fall Meeting 2022

• Transfer Learning Enabled Deep Learning Model for the Prediction of Battery Performance from Electrolyte Formulations

  • • Vidushi Sharma
    • Maxwell Giammona
    • et al.
  • 2022
  • ECS Meeting 2022