Computational Design and Characterization of Biopolymers for Sensing
Computational Design and Characterization of Biopolymers for Thermal Regulation
Computational Studies of Bioeffects of Electromagnetic Energy
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.
Materials with extremely low or high 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.
Coronavirus SARS-CoV-2 has caused the outbreak of COVID-19 disease. Can electromagnetic energy based devices deactivate the virus? Modeling, simulation and machine learning techniques are used to answer the question.