Hsiao-Feng Liu

PhD candidate | The Siepmann group

Minneapolis, Minnesota, United States

About

Experience

  • Research Assistant at The Siepmann Group, University of Minnesota - Twin Cities, MN
    Dec 2020 - Present · 5 yrs 8 mos

    Perform high-precision calculations for phase coexistence of complex systems using molecular simulations: 1. Achieved the prediction of the retention increment of a hydroxyl group and a methylene group from homologous series of alcohols, diols, and glycerol under HILIC conditions by molecular simulation for the first time, with a deviation of less than 8% from experimental measurements; 2. Proposed an improved model for chromatographic particles with validation using argon adsorption measurements, yielding only a 1% deviation from experimental BET surface area data; 3. Collaborate with industrial and experimental partners, including Dr. Mark Schure at Kroungold Analytical Inc., Prof. Dr. Matthias Thommes at Friedrich–Alexander’Universität, and the research team of Advanced Materials Technology.

  • Teaching Assistant at Dept. of Chemical Engineering and Materials Science, University of Minnesota - Twin Cities, MN
    2023 - 2023 · Less than a year

    1. Assisted graduate students in applying machine learning to research and instructed undergraduate students to use numerical methods to solve engineering problems; 2. Awardee of the CEMS Outstanding TA Award and finalist of the COGS Teaching Excellence Award.

  • Material Design R&D Intern at Daxin Materials Corporation
    Jul 2020 - Aug 2020 · 2 mos

    1. Investigated the corrosion inhibition of electroplated and sputtered copper by azole-based inhibitors using both experiments and molecular dynamics simulations; 2. Guided the design of etchant solution by demonstrating that triazoles outperform imidazoles in enhancing adsorption selectivity and minimizing lateral etching of electroplated copper; 3. Collaborated in three teams across theoretical methodology, experiment, and spectroscopy

  • Undergraduate Researcher at Computational Molecular Engineering Lab, National Taiwan University, Taipei, Taiwan
    Jun 2017 - Jun 2019 · 2 yrs 1 mo

    1. Predicted the heat capacity of liquids from the classical molecular dynamics simulation by including the quantum corrections using the two-phase thermodynamic model; 2. Refined the original model to include the temperature dependence, which increased the accuracy by 30%.