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Two-dimensional (2D) semiconducting materials have distinct optoelectronic properties that could be advantageous for the development of ultra-thin and tunable electronic components. Despite their potential advantages over bulk semiconductors, optimally interfacing these materials with gate dielectrics has so far proved challenging, often resulting in interfacial traps that rapidly degrade the performance of transistors.

Researchers at King Abdullah University of Science and Technology (KAUST), Soochow University and other institutes worldwide recently introduced an approach that could enable the fabrication of better performing transistors based on 2D semiconductors. Their proposed design, outlined in a paper in Nature Electronics, entails the use of hexagonal boron nitride (h-BN) dielectrics and metal gate electrodes with a high cohesive energy.

“Initially, we found that when we use platinum (Pt) as an anode, the h-BN stack is less likely to trigger breakdown,” Yaqing Shen, first author of the paper, told Tech Xplore. “Based on this finding, we designed our experiments and found that Pt/h-BN gate stacks show 500-times lower leakage current than Au/h-BN gate stacks and exhibit a high dielectric strength of at least 25 MV/cm. This gave us the idea of using CVD h-BN as a gate dielectric in 2D transistors.”

A new study led by Rice University’s Qimiao Si has unveiled a new class of quantum critical metal, shedding light on the intricate interactions of electrons within quantum materials. Published in Physical Review Letters on Sept. 6, the research explores the effects of Kondo coupling and chiral spin liquids within specific lattice structures.

Humans are still learning from nature.

Researchers mimicked ancient fish scales for a 3D-printed concrete structure:


Concrete is a ubiquitous building material, but over time, it may become prone to cracking. In order to ensure the long-term durability and safety of concrete structures, it is essential to prevent or minimize cracking.

Researchers have developed a novel approach to improve the longevity of concrete by increasing its fracture resistance mechanisms.

The Princeton Engineering team used cutting-edge additive manufacturing processes and precision robotic automation to create twisted concrete components. The resulting concrete is stronger and more durable than the standard cast concrete.

The 2011 accident at the Fukushima-Daiichi plant in Japan inspired extensive research and analysis that elevated nuclear energy into a standard bearer for safety. It also inspired a number of studies at the U.S. Department of Energy’s (DOE) Argonne National Laboratory. Scientists want to look more closely at nuclear fuel materials to better understand how they will behave at extremely high temperatures.

Researchers at Tohoku University have successfully increased the capacity, lifetime durability, and cost-effectiveness of a capacitor in their pursuit of a more power-efficient future. The research is published in the journal ACS Applied Materials & Interfaces.

A capacitor is a device used as part of a circuit that can store and release energy, just like a battery. What makes a capacitor different from a battery is that it takes much less time to charge. For example, your cellphone battery will power your phone instantly, but charging that back up to 100% when it dies is far from instantaneous.

While this makes capacitors sound like the superior choice, they have some big drawbacks that need to be overcome. First, their is much smaller than batteries, so they cannot store large amounts of energy at once. Second, they can be quite expensive.

A study out recently has prompted much media attention about the role of plastics in developing autism.

In particular, the study focused on exposure to a component of hard plastics—bisphenol A, or BPA—in the womb and the risk of boys developing this neurodevelopmental disorder.

Importantly, the study doesn’t show plastics containing BPA cause autism.

Metamaterials have recently garnered substantial research interest as they can be engineered to achieve materials properties not found in nature, thus presenting unique opportunities across various fields. In order to facilitate the rational design of metamaterials, computational methods have been widely employed, but not without numerous challenges yet to be addressed. This Focus highlights recent advancements, challenges, and opportunities in computational models for metamaterials design and manufacturing, as well as explores their potential promises in emerging information processors and computing technologies.