Research Articles

As the demand for lightweight materials increases in the automotive and aerospace industries, so does the demand for suitable processing methods. Can we minimize material use? Can we obtain high-strength welds without damaging temperature sensitive composites?

Metal Matrix Composites (MMCs) have been known and explored for a very long time, but new innovations and an increased demand for high-performance lightweight materials means that they are finally ready to make it beyond their previous false starts.

Sensel creates next-generation touch technology. Multi-touch, highly sensitive, low power, and mobile, Sensel's PressureGrid™ makes computing more comfortable and creative.

Hamamatsu is a manufacturer of devices for the generation and measurement of infrared, visible, UV light and x-rays.

Terrafugia's mission is to create practical flying cars that enable a new dimension of personal freedom. Terrafugia (ter-ra-FOO-jee-ah) is derived from the Latin for "Escape the Earth".

The new report by IDTechEx, Conductive Ink Markets 2018-2028, provides the most comprehensive and authoritative view of the conductive inks and paste market.

Data-basing movement in sport, fitness and healthcare using precision location technology and unique cross platform software for sensor based systems.

IDTechEx will be holding a free webinar on Thursday 22 February titled Electric Buses 2018-2038.

Lightweight metals are forecast to enter a growth phase as both material maturity and market drivers become aligned. IDTechEx has released a new technical report on this topic, Lightweight Metals 2018-2028: Forecasts, Developments, Players, which provides extensive coverage of this field based on analyst-led primary research.

Ares Materials is developing novel transparent polymer materials for the next generation of truly flexible mobile, wearable and embedded electronics.

Using printed electronics and fiber science Myant seamlessly embed technology into textiles to change the way we live.

In the past five years or so several major research groups have demonstrated that robots can learn to grasp novel varied objects with accuracy levels around 80-85%. Still performance levels, even in the labs, are sub-human but this is changing fast.