Data management plan for the grant, "Collaborative Research: Research Infrastructure: CCRI: ENS: Enhanced Open Networked Airborne Computing Platform." The project aims to develop an enhanced open networked airborne computing platform to facilitate the design, implementation, and testing of an airborne computing platform that seamlessly integrates control, computing, communication, and networking. The project will provide community support based on the flywheel model, and to attract and engage community users through organized support from four regional sites in the nation, hands-on workshops, testbed access, and technical user services.

Data management plan for the grant, "SaTC: CORE: Small: Customizable Geo-Obfuscation to Protect Users' Location Privacy in Mobile Crowdsourcing."

Data management plan for the grant, "Targeted Systemic Delivery of SDF-1 DNA for the Treatment of Chronic Heart Disease."

Data management plan for the grant, "Tunable Plasmonic Multispectral Meta surfaces." This project investigates the fundamental light-matter interactions and light emission tunability of 2D materials augmented by plasmonic gratings. A key application of our fundamental research is the development of the next generation of optical transistor that use photons to transmit signals containing digital information.

Data management plan for the grant, "CICI: UCSS: Secure Containers in High-Performance Computing Infrastructure." Ensuring the security and privacy of high-performance computing (HPC) infrastructures is of utmost importance due to their handling of sensitive data and critical scientific computations. HPC infrastructures commonly employ containers, which provide lightweight and isolated environments for running applications. Nevertheless, containers in HPC infrastructures encounter security challenges, including insecure container images and vulnerabilities related to isolation. Existing container image scanners face a major challenge of low coverage, while current container runtimes struggle to ensure both security and performance for HPC workloads simultaneously. This project addresses these challenges by developing secure containers specifically tailored for HPC infrastructures. The project introduces innovative solutions, including the development of an efficient image vulnerability scanner and a secure container runtime.

Data management plan for the grant, "Mechanoregulators of Nanoparticle-Cell Interactions at Tissue Interfaces."

Data management plan for the grant, "Ex situ and in situ Investigation of the Thermomechanical Behavior of Shape Morphing Materials from Room Temperature to Ultra-High Temperatures."

Data management plan for the grant, "New approach based on enzyme stimulating of peptides for targeting drug resistance breast cancers." In this project, we propose the development of selective self-assembling peptides that form nanofibers via a self-assembling process upon the action of Eyes absent (EYA) enzyme, specific to drug resistance Triple Negative Breast cancer cells (TNBC). The objectives are: Aim 1: Design and synthesize self-assembling peptide substrates for EYA enzymes; Aim 2:Determining the efficacy of peptide substrates for inhibiting TNBC in spheroid 3D cell cultures. The correlation between the enzyme kinetic and the activity of nanostructures for targeting EYA will be evaluated. Aim 3: The apoptosis response of the TNBC cells will be determined. This study will lead to finding the potent peptide substrate and the effective dose for inhibiting TNBC cells with apoptosis cell death.

Data management plan for the grant, "High-Contrast Elasto-Metamaterial Photonics for Adaptable and Stable Lasing."

Data management plan for the grant, "Collaborative Research: SHF: Small: LEGAS: Learning Evolving Graphs At Scale." This project aims to improve the computation efficiency of graph neural networks (GNNs), which are an emerging class of deep learning models on graphs, with many successful applications, such as, recommendation systems, drug discovery, social network analysis, and code vulnerability detection. This project aims to to design an efficient GNN framework via algorithm and system co-design for both static and dynamic graphs.

Data management plan for the grant, "Collaborative Research: CIF: Medium: Fundamental Limits of Cache-aided Multi-user Private Function Retrieval." This project is motivated by the need to efficiently execute complex queries on massive databases in a way that minimizes the use of communication resources while preserving the privacy of the entity that initiated the query. Such queries are functions of the data points that are stored at remote servers. This project develops a principled and holistic framework for the problem of privately retrieving, at distributed cache-aided nodes, the output of functions based on both data that is locally computed and data that is received from multiple servers.

Article discusses how sensing temperature is important for a wide variety of applications such as control systems and instrumentation which are integral to various industrial sectors and in research settings. The authors emphasize the importance of high sensitivity and reliable methods using a frequency-based approach for detecting temperature changes. In their study, Au rectangular single-arm spiral antennas with varying sizes were fabricated and RF S-parameter measurements were conducted over the frequency range of 300 kHz to 20 GHz. Alongside the experimental measurements, they also present results from their simulation analysis conducted using High Frequency Structure Simulator (HFSS) from ANSYS.

Article discusses how understanding gas flow behavior is crucial in the ability of materials to sense toxic gasses for environmental, industrial, safety, agriculture, and related applications. In their study, the authors measure the electrical transport characteristics of ink jet printed graphene to incoming gas flow, specifically to N2 and CO2. This work serves as a prototypical platform to study the device characteristics of solution processed graphene and other 2D materials for more exotic gases in the future for gas sensing applications.

Article discusses a study on synthesizing 0D-2D vdW heterostructure by spin coating C60 molecules on halide-assisted-low-pressure chemical-vapor-deposition (HA-LPCVD) produced monolayer WSe2 flakes. The study reveals that WSe2-C60 hybrid system is an appealing choice for next generation optical sensing devices.

Article discusses findings on two distinct classes of van der Waals solids, that based on in-organic transition metal dichalcogenides and the other based on a hybrid mixed organic-inorganic composition of 2D perovskites, specifically organo-halides (CH3(CH2)3NH3)2(CH3NH3)n-1PbnI3n+1.

Article discusses how semiconducting two-dimensional transition-metal dichalcogenides (TMDs) have garnered a great deal of interest owing to their large surface-to-volume ratios compared to traditional three-dimensional (3D) semiconductors, and focuses on a specific TMD; tungsten diselenide (WSe₂). In their study, the authors demonstrate the halide-assisted low-pressure chemical vapor deposition (HA-LPCVD) of high crystalline-quality, monolayer WSe₂.

Article describes how plasmons associated with zero-dimensional (0D) metal nanoparticles and their synergistic interactions with excitons in two-dimensional (2D) semiconductors offer opportunities for remarkable spectral tunability not otherwise evident in the pristine parent materials, which necessitates an in-depth study elucidating the nature of the plasmonic and excitonic interactions, jointly referred to as plexcitons in order to understand the foundational aspects of the light–matter interactions in hybrid 0D–2D systems. The authors examine the plexcitonic interactions of van der Waals (vdWs) hybrid structures composed of 2D WSe2 and 0D Au nanoparticles (Au-NPs) in their spherical (Au-Sp) and bi-pyramidical (Au-BP) architectures, which demonstrates that geometry-mediated response of the AuNPs provides another degree of freedom to modulate the carrier photodynamics in WSe₂.

Article focuses on the fact that there are no clear mechanisms for the interaction of electrode-induced absorber degradation pathways. Furthermore, the authors hypothesize that the formation of AgI in the PSCs, leads to corrosion of the perovskite absorber, as opposed to the benign AuI when Au electrodes are used in the solar cell stack.

Article discussing two-dimensional organic halide layered perovskites in the Ruddlesden Popper structure (CH3(CH2)3NH3)2(CH3NH3)n􀀀1PbnI3n+1) layered perovskites in the Ruddlesden Popper structure, represented as BA2MA3Pb4I13 for the n = 4 formulation, for both photoabsorbers in a two-terminal architecture and solar cells. A comparative study of the 3DP and 2DP film stability was also conducted.

Data management plan for the grant, "Mechanochemical Reconstruction Principles for Two-Dimensional Material Adaptation to Applied Stresses." This grant focuses on understanding how 2D materials change their structure and function under loading and shear stresses. For this, we will investigate the fundamental origins of solid-state interactions, unraveling the processes occurring at contacting surfaces during sliding, why some materials show better stability than others, and how one can use these novel 2D materials for mitigating friction and wear and enabling superlubricity.

Article states that the AlCoCrFeNi2.1 eutectic high entropy alloy is of great interest due to its unique mechanical properties combining both high strength and plasticity. This work establishes the potential for using arc-based welding for joining eutectic high entropy alloys.

Article asserts that weldability studies on high entropy alloys are still relatively scarce, delaying the deployment of these materials into real-life applications, thus, there is an urgent need for in-depth studies of the weldability of these novel advanced engineering alloys. In the current work, an as-cast Fe42Mn28Co10Cr15Si5 metastable high entropy alloy was welded for the first time using gas tungsten arc welding.

Article explores the possibility of using friction stir welding (FSW) to join jacket web sections of two nitrogen-containing stainless steels for housing internally cooled superconducting cables which are utilized to generate magnetic fields in tokamak type fusion reactor systems. It has been shown that the FSW fabricated SS 316 LN jackets possessed the required strength and magnetic properties critical to this application.

Article describes how processes including hot compression, cold compression and subsequent annealing on the structures and properties are investigated and compared. They found that applying pressure up to 10 GPa at the glass transition temperature led to permanent densifications and a dramatic increase of elastic moduli by 90%, while thermal annealing reversed the increase and applying pressure at ambient temperature did not increase the modulus.