Latest Smart Textiles News

Hardvard sensor

Strength and sensitivity in carbon fibre sensor

An ultra-sensitive strain sensor that is at the same time extremely resilient can be embedded into textiles and soft robotic systems.

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Pixabay

Liquid crystals spun into colour-changing fibres

Electrospinning processes for the production of thermochromic fibres from liquid crystals, which change colour in response to changes in temperature, are being developed by researchers at Virginia Commonwealth...

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Circularid1

A digital twin for every garment in the world

Microsoft and New York, USA-headquartered Eon have announced an ambitious plan to initially bring 400m products online by 2025 through their Connected Products project – a collaboration that will...

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Mylo2

Major brands back Mylo mushroom leather

Adidas, Kering, Lululemon and Stella McCartney are the major brand names in a consortium that has secured exclusive access to Mylo – a new material made from...

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nanotube filtrations875

CNTs for advanced water filtration

Researchers at Lawrence Livermore National Laboratory have created carbon nanotube (CNT) pores which – at just 0.

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Cambridge STaN

Microfibre sensors as home-testing kits

Three-dimensional printed microfibre sensors with potential beyond the capabilities of conventional film-based devices have been developed in the UK.

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Empa2

Energy on the move

Empa researchers in Switzerland have developed a material that works like a luminescent solar concentrator (LSC) and can be applied to textile fibres, opening up the possibility...

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Penn state skin

Simple sintering route for silver skin patches

Sensors have been printed directly onto human skin without the use of heat in an international project led by Huanyu Cheng, at the Pennsylvania State University Department...

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RMIT3

Stretchable electronic skin reacts to pain

Electronic artificial skin that reacts to pain just like real skin will open the way to better prosthetics, smarter robotics and non-invasive alternatives to skin grafts....

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KAIST

Five fingers, one sensor

A team led by Professor Sungho Jo from the School of Computing at the Korea Advanced Institute of Science and Technology (KAIST) collaborated with Professor Seunghwan Ko from...

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