Self-Healing Circuit for Signal Transmission

Have you damaged a circuit and thought shouldn’t have done it? A recent research has come across an idea of a circuit that can possibly heal on its own and can still transfer the power and signals. Materials used in semiconductors these days are vulnerable to mechanical damage. A single drop of water can almost entirely ruin the circuitry.
A single removal of wire from a circuit board during data transmission can stop doing its function. 
The researchers at Carnegie Mellon University have created a self-healing material. This material immediately repairs itself under extreme mechanical damage. The human body also heals itself which is taken care by blood in the body. In a similar way, the manufactured machines will now be able to heal themselves by using the property of this material. This material also exhibits high electrical conductivity even when it is stretched. 
The material is very soft in nature and is consisting of liquid metal droplets suspended in a soft elastomer. Whenever the material gets damaged, the droplets get rupture to form new connections with the existing neighboring droplets and complete its electrical circuit without interruption. Such a material is useful even if some part of material is punctured or removed.
The researchers group is led by Mr. Majidi, who directs the Integrated Soft Materials Laboratory, is a pioneer in developing new classes of materials in the fields of soft matter engineering & soft robotics.
This research was published in Nature Materials.
“The unprecedented level of functionality of our self-healing material can enable soft-matter electronics and machines to exhibit extraordinary resilience of soft biological tissue and organisms.” said Majidi.
“If we want to build machines that are more compatible with the human body and natural environment, we have to start with new types of materials,” he pointed.

Applications for this material: –

This material can be used in the following sectors: –

  1. Bio-inspired robotics.
  2. Human-machine interaction.
  3. Wearable computing.
  4. Power and data transmission.

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