Document Type
Student Presentation
Presentation Date
12-6-2023
Faculty Mentor
Eric Hayden, Ph.D.
Abstract
Advancing digital Nucleic Acid Memory (dNAM) as an innovative data storage method, our research harnesses DNA's high information density, stability, and energy efficiency for non-volatile memory applications . dNAM offers a sustainable alternative that improves upon the limitations of current memory materials .
Recommended Citation
Day, Chloe; Goodwin, Kiara; Naftzger, Jeremy; Rice, Alayne; Thompson, Audrey; Balzer, Ben; Dickinson, George; Clay, William; Piantanida, Luca; Mortuza, Golam; Andersen, Tim; Kuang, Wan; and Hayden, Eric, "Digital Nucleic Acid Memory" (2023). VIP 2023. 4.
https://scholarworks.boisestate.edu/vip_2023/4
Comments
National Science Foundation award #2227626 - SemiSynBio-III: Scalable Nucleic Acid Memory