DNA and RNA nanostructures, e.g., DNA Origami, have great potential in biological applications, including extracellular matrix scaffolds and delivery vehicles for drugs and gene therapies. While folding DNA origami under physiological conditions is plausible, significant challenges and limitations remain. For example, isothermal annealing of DNA origami...

­Node classification in real-world attributed networks is a central analytical task that is a growing research area. In real-world networks, a large portion of node classes only contain limited labeled instances. Many prevailing graph machine learning methods typically rely upon the availability of sufficient labeled data. However, the long-tail...

Background Attributed networks provide high-impact data representation in many real-world complex systems, including social network analysis, financial fraud detection, and drug discovery. In these networks, users can be represented as nodes, which are classified based on the information available from the network. However, there are currently limited...

­Background In a variety of real-world applications (e.g., social spam detection, financial fraud detection, and network intrusion detection), detecting anomalies from networked data plays a vital role in keeping malicious behaviors or attacks at bay. With the increasing usage of attributed networks for modeling information systems, anomaly detection...

­Background Deep neural networks have been shown to be vulnerable to adversarial attacks, which pose major security risks in applications such as surveillance, autonomous driving, and access control. Typical attack strategies alter authentic data subtly so as to obtain adversarial samples that resemble the original while jeopardizing network integrity,...

Metal-assisted chemical imprinting (Mac-Imprint) is a contact-based wet etching process that combines metal-assisted chemical etching (MACE) and nanoimprint lithography (NIL). Mac-Imprint processes have been used for semiconductor patterning with arbitrary and complex 3D micro- and nano-structures. While porous catalytic metal thin-films can be used...

Chemical sensors are useful in detecting many airborne chemicals for monitoring air quality, studying environmental health, and protecting people from harmful chemical exposures. Major efforts have been made to develop low cost and high performance chemical sensors. Electrochemical and metal oxide semiconductors are widely used airborne chemical sensors,...

Colorimetry is a well-known and widely used sensing platform that detects a color change associated with a reaction between a target chemical and sensing materials. Colorimetric sensors are useful in many applications including sensing toxic chemicals in air as well as detecting biomarkers in breath, urine, blood and other types of body fluids. In multiplexed...

The Basis of Primary Petroleum Production SI Case: M17-166P Background The current petroleum industry relies on Darcy’s law to calculate the production rate of a given reservoir. Darcy’s law represents a relationship between fluid flow and porous media to perform oil and gas collection, whereby the drainage rate is inversely proportional...

The state of the art of two-color focal plane arrays (FPAs) are two or three terminal photo detector pixels integrated with electronic readout circuits (ROICs). However, a multicolor (> 2) photodetector pixel requires many more terminals, making it very difficult, if not impossible, to integrate multicolor pixel arrays to ROICs due to the increase...