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2D Materials for Integrated Electronics

As many in the field would agree, the growing interest in two-dimensional (2D) materials is not just a trend, it reflects real progress and curiosity. Materials like graphene and MoS2 have shown fascinating behaviour, particularly because they are atomically thin and yet still possess strong electrical, optical, and mechanical properties. These features make them promising candidates for new directions in electronics. That said, turning this promise into reliable technology is still a work in progress.

This Collection focuses on how 2D materials are being developed and used in integrated electronics. The emphasis is not only on device performance, but also on the actual process of bringing these materials into practical systems. From what I have seen, some of the most exciting results come from experiments where 2D materials are added into traditional semiconductor setups, whether that is in transistors, photodetectors, or memory elements. But challenges like scalability, environmental stability, and material quality remain real obstacles.

We’re interested in contributions across the board: device demonstrations, growth techniques, interface studies, or even theoretical modelling that can guide experimental designs. For instance, studies on how these materials interact with metal contacts, or how to reduce contact resistance, are very relevant here. So are efforts to pattern or align 2D layers over large areas, which is a challenge still not fully solved.

Defect Characterization and Control in 2D Materials and Devices

As soon as 2DMs are employed for devices, at some point they have to be grown or transferred onto insulators. A wide range of insulators has already been suggested for the use with 2DMs, starting with the amorphous 3D oxides known from Si technologies (SiO2, HfO2, Al2O3), and expanding to native 2D oxides (MoO3, WO3, Bi2SeO5), layered 2D crystals (hBN, mica) and 3D crystals like fluorides (CaF2, SrF2, MgF2) or perovskites (SrTiO3, BaTiO3). These insulators also contain various defects which can also be detrimental to device stability and reliability. Again, on the other hand, these defects can be exploited for added functionality like resistive switching devices, neuromorphic devices, and sensors.

Finally, 2DMs need to be contacted with metals, which typically introduces defects in the 2DMs which then have a strong impact on the behaviour of the resulting Schottky contacts as they tend to pin the Fermi-level and result in large series resistances.

This collection aims to provide a comprehensive overview of the latest research on defect characterization and control in 2D materials and devices. By bringing together studies that utilize advanced theoretical calculations, such as density functional theory (DFT) and first-principles calculations, as well as experimental techniques like transmission electron microscopy (TEM), scanning tunneling microscopy (STM), X-ray photoemission spectroscopy (XPS), atomic force microscopy (AFM), and various optical spectroscopies, this collection seeks to deepen our understanding of defect formation, propagation, control, and their impact on device performance.

Sensing with 2D Materials

After the successful separation of a monolayer of carbon atoms with honeycomb lattice known as graphene in 2004, a large group of 2D materials known as TMDCs and MXenes were discovered and studied. The realm of 2D materials and their heterostructures has created new opportunities for the development of various types of advanced rigid, flexible and stretchable biosensors, and chemical, optoelectronic and electrical sensors due to their unique and versatile electrical, chemical, mechanical and optical properties. The high surface to volume ratio and quantum confinement in 2D materials make them strong candidates for the development of sensors with improved sensitivity and performance. This group of atomically thin material also offer mechanical flexibility and limited stretchability harvested towards making flexible and stretchable sensors that can be used at the interface with soft tissues and in soft robotics. However, challenges remain in fully realizing their potential in practical applications.

The aim of this collection is to highlight the current progress in the research of 2D materials, focusing on their integration into sensing technologies. We seek to provide a comprehensive overview of the advancements made in this area while addressing the challenges faced in developing practical applications.

Characterization of the antibacterial activity of Bald’s eyesalve against drug resistant Staphylococcus aureus and Pseudomonas aeruginosa

In this study, we have shown that Bald’s eyesalve, an Anglo-Saxon remedy for eye sty infections, displays growth inhibitory activity against S. aureus and P. aeruginosa, including a multi-drug resistant strain. This activity was more pronounced against S. aureus than P. aeruginosa, which is consistent with the fact that Gram-negative bacteria, particularly Pseudomonads, are notably more resistant to antibacterial agents than Gram-positive bacteria, including Staphylococcus sp. [12]. Our data indicate that the specific formulation composition had little impact on the inhibition of S. aureus. This is inconsistent with a previous report where the presence of an additional Allium species, onion or leek, was found to significantly contribute to the antibacterial activity of Bald’s eyesalve [6]; however, this previous study evaluated the antibacterial activity using a synthetic wound model in which S. aureus inoculum was grown as a biofilm for 24 hr prior to treatment and based upon colony-forming units [6]. Our conflicting results may be due to our assessment of the antibacterial activity of Bald’s eyesalve exclusively against planktonic S. aureus rather than S. aureus biofilms, and we did not investigate whether onion or leek are necessary for specific efficacy against bacterial biofilms. Previous studies have shown that quercetin, an antibacterial flavonoid found in onion [13], and its derivatives demonstrate anti-biofilm and anti-quorum sensing activity against S. aureus and P. aeruginosa [14, 15]. Although plant extracts have been shown to display growth inhibitory activity against P. aeruginosa [16, 17], to our knowledge our study represents the first report of the antibacterial efficacy of Bald’s eyesalve against P. aeruginosa.

Although all known Allium species contain organosulfur compounds, the chemical composition and resultant antibacterial activity of their extracts greatly varies [18]. Prior investigations have determined the main constituents of garlic essential oil to be diallyl disulfide (DADS), diallyl trisulfide (DATS), allyl methyl trisulfide, diallyl sulfide (DAS), and diallyl tetrasulfide (DATTS), while the main constituents of onion and leek essential oils were found to be dipropyl disulfide, dipropyl trisulfide, methyl propyl disulfide, methyl propyl trisulfide, and 1-propenyl propyl disulfide [18, 19]. Tsao et al. previously demonstrated that DAS, DADS, DATS, and DATTS exhibit MICs of 20, 4, 2, and 0.5 μg/ml against S. aureus, respectively, and 80, 64, 32, and 12 μg/ml against P. aeruginosa, respectively [20, 21].

Inhaled farm dust alters gut bacteria and weakens intestinal barrier in mice

Inhaling agricultural dust may pose significant risks to gut health for workers in animal agriculture, a University of California, Riverside, study has found.

Led by Declan McCole, a professor of biomedical sciences in the UCR School of Medicine, the study expands on prior findings that hog farm causes airway inflammation. The researchers now report in the Journal of Applied Toxicology that inhaling this dust also alters the gut microbiome and impairs intestinal function, including increased “” or intestinal permeability. Leaky gut is associated with a range of chronic diseases, including , celiac disease, and type 1 diabetes.

“Exposure to swine farm dust, which contains high levels of bacteria and endotoxins, caused both airway inflammation and increased passage of gut bacterial products into the bloodstream in our mouse models,” said Meli’sa Crawford, a former postdoctoral researcher in McCole’s lab and the paper’s first author. “But what’s especially striking is the impact we observed on the and metabolism.”

PAPO: Perception-Aware Policy Optimization for Multimodal Reasoning

Suppose you’re trying to solve a puzzle that includes both words and pictures — like reading a comic strip and figuring out what happens next. That’s the kind of challenge today’s AI faces in “multimodal reasoning,” where it must understand both text and images to think and respond accurately.