All Outputs (2)

The Graphene Field Effect Transistor Modeling Based on an Optimized Ambipolar Virtual Source Model for DNA Detection (2021)
Journal Article
Akbari, M., Shahbazzadeh, M. J., La Spada, L., & Khajehzadeh, A. (2021). The Graphene Field Effect Transistor Modeling Based on an Optimized Ambipolar Virtual Source Model for DNA Detection. Applied Sciences, 11(17), Article 8114. https://doi.org/10.3390/app11178114

The graphene-based Field Effect Transistors (GFETs), due to their multi-parameter characteristics, are growing rapidly as an important detection component for the apt detection of disease biomarkers, such as DNA, in clinical diagnostics and biomedica... Read More about The Graphene Field Effect Transistor Modeling Based on an Optimized Ambipolar Virtual Source Model for DNA Detection.

Deep Learning Techniques and COVID-19 Drug Discovery: Fundamentals, State-of-the-Art and Future Directions (2021)
Book Chapter
Jamshidi, M. B., Lalbakhsh, A., Talla, J., Peroutka, Z., Roshani, S., Matousek, V., …Lotfi, S. (2021). Deep Learning Techniques and COVID-19 Drug Discovery: Fundamentals, State-of-the-Art and Future Directions. In I. Arpaci, M. Al-Emran, M. A. Al-Sharafi, & G. Marques (Eds.), Emerging Technologies During the Era of COVID-19 Pandemic (9-31). Cham: Springer. https://doi.org/10.1007/978-3-030-67716-9_2

The world is in a frustrating situation, which is exacerbating due to the time-consuming process of the COVID-19 vaccine design and production. This chapter provides a comprehensive investigation of fundamentals, state-of-the-art and some perspective... Read More about Deep Learning Techniques and COVID-19 Drug Discovery: Fundamentals, State-of-the-Art and Future Directions.