Modeling Simulation and Analysis for Biomaterials & Biotechnology



  1. Computational Design and Characterization of Biopolymers for Sensing

  2. Biotic materials such as antibodies, peptides and aptamers are coated on abiotic surfaces such as gold and graphene for biosensing applications. These biomaterials act as recognition elements in sensing and monitoring target markers. Modeling, simulation and machine learning techniques are used to design highly specific and high binding affinity biomolecular recognition elements. Molecular dynamics simulations and statistical physics are used to study the biotic-abiotic interactions to investigate the factors affecting device stability.

  3. Computational Design and Characterization of Biopolymers for Thermal Regulation

  4. Materials with extremely low thermal conductivity are highly demanded. Protein-based polymers are tunable to achieve desired properties through modifying protein structures. Modeling, simulation and machine learning techniques are used to design and characterize protein-based polymers for thermal regulation.

  5. Computational Studies of Bioeffects of External Fields

  6. Coronavirus SARS-CoV-2 has caused the outbreak of COVID-19 disease. Can electromagnetic fields inactivate the virus? Modeling, simulation and machine learning techniques are used to answer the question.