Organic semiconductors have emerged as a promising alternative to their inorganic counterparts owing to their versatility, low-cost fabrication and tunable electronic characteristics. These ...

The intrinsic properties of semiconductor nanocrystals are profoundly influenced by their exposed facets, which dictate both their electronic and chemical behaviours. The orientation of these ...

Semiconductor materials play an important part in developing nanophotonic technologies. Semiconductors are used for generating controllable photons as well as for confining and exploiting them for ...

In the pursuit of next-generation electronic devices, it is not silicon semiconductors leading the way, but III-V semiconductors that are at the forefront of this endeavor. These remarkable compounds, ...

Researchers have demonstrated that by using a semiconductor with flexible bonds, the material can be moulded into various structures using nano containers, without altering its composition, the ...

Researchers at the Georgia Institute of Technology have created the world’s first functional semiconductor made from graphene, a single sheet of carbon atoms held together by the strongest bonds known ...

Semiconductors are the foundation of modern-day technology, and improving their computing power is at the core of this dynamic industry. However, the mechanical performance also matters: adhesion of ...

Whether or not a solid can emit light, for instance as a light-emitting diode (LED), depends on the energy levels of the electrons in its crystalline lattice. An international team of researchers led ...

Semiconductor nanoparticles typically consist of a crystalline core made from a semiconductor material, such as cadmium selenide (CdSe), cadmium sulfide (CdS), or indium phosphide (InP). The core is ...

For decades, scientists have relied on electrodes and dyes to track the electrical activity of living cells. Now, engineers have discovered that quantum materials just a single atom thick can do the ...

A technical paper titled “Accelerating Defect Predictions in Semiconductors Using Graph Neural Networks” was published by researchers at Purdue University, Indian Institute of Technology (IIT) Madras, ...