C&EN

Learning Drug Functions from Chemical Structures with Convolutional Neural Networks and Random Forests

Department of Chemistry, Department of Biomolecular Chemistry and National Center for Quantitative Biology of Complex Systems, University of Wisconsin—Madison, Madison, Wisconsin 53706, United States ...
IEEE

Experimental Characterization of Physical Unclonable Function Based on 1 kb Resistive Random Access Memory Arrays

Abstract: In this letter, we propose a reliable design of physical unclonable function (PUF) exploiting resistive random access memory (RRAM). Unlike the conventional silicon PUFs based on ...
IEEE

Utilizing the Variability of Resistive Random Access Memory to Implement Reconfigurable Physical Unclonable Functions

Abstract: The stochastic switching mechanism and intrinsic variability of resistive random access memory (RRAM) present severe challenges for memory applications, which, however, may be utilized to ...