Electronics Guide

Emerging and Advanced Components

The electronics industry continues to push the boundaries of what is possible, developing components that promise to reshape computing, memory, sensing, and signal processing. This category surveys technologies that are moving from research laboratories toward practical use, representing the next generation of devices beyond the conventional resistor, capacitor, transistor, and silicon integrated circuit.

These components address fundamental limits of conventional silicon. Memristors offer a path toward brain-inspired, in-memory computing; carbon nanotube and graphene devices aim to extend transistor scaling beyond silicon; quantum and superconducting devices reach sensitivities and computational regimes unattainable with ordinary electronics; and flexible, bioelectronic, and micro-electro-mechanical systems extend electronics into new physical forms and into the human body. Understanding these advanced components prepares engineers and researchers for the shifts now underway across the field.

Articles in This Category

This category groups the devices and material systems that are extending electronics beyond conventional silicon. The topics below span a wide range of maturity, from components already manufactured in the billions to devices still confined to the laboratory.

Common Themes Across Emerging Components

Despite their diversity, the technologies in this category share several recurring ideas. Recognizing these themes explains why such different devices are grouped together and what problems they aim to solve.

  • Novel materials: carbon nanotubes, graphene and other two-dimensional materials, transition-metal oxides, ferroelectrics, and biocompatible polymers replace or supplement bulk silicon.
  • Quantum and nanoscale effects: quantum tunneling, quantized conductance, electron spin, and superconductivity become design resources rather than parasitic effects to be suppressed.
  • Unconventional device physics: resistance that depends on the history of applied charge (memristance), mechanical motion coupled to circuits (MEMS), and Cooper-pair tunneling (Josephson junctions) provide behaviors no ordinary transistor offers.
  • Computing beyond the von Neumann model: memristive and neuromorphic arrays perform computation where the data are stored, reducing the energy lost shuttling information between separate memory and processor.
  • New physical form factors: flexible, stretchable, and biodegradable substrates let electronics conform to curved surfaces, textiles, and living tissue.
  • Co-design of materials, devices, and architecture: realizing these components usually means rethinking fabrication, circuit design, and system architecture together, not dropping a new device into an existing flow.

From Laboratory to Market

These technologies sit at very different stages of maturity. Some are already produced in enormous volumes, while others remain confined to research laboratories and specialized facilities. Placing a device on this spectrum is essential when judging whether it is a practical option or a long-term prospect.

  • Mature and ubiquitous: MEMS sensors are manufactured in the billions. Accelerometers, gyroscopes, pressure sensors, and silicon microphones appear in nearly every smartphone, vehicle, and wearable device.
  • Entering volume production: emerging non-volatile memories such as magnetoresistive RAM (MRAM) and resistive RAM (ReRAM) are now offered as embedded memory on mature foundry nodes, targeting microcontrollers, secure devices, and automotive electronics.
  • Early commercial and specialized use: superconducting devices power SQUID magnetometers and the magnets in magnetic resonance imaging, and superconducting qubits run in early quantum computers reached mainly through the cloud.
  • Primarily in research: carbon nanotube and graphene logic, molecular and DNA electronics, and large-scale neuromorphic memristor arrays remain largely experimental, marked by demonstrations rather than mass production.

Design and Engineering Challenges

The same properties that make these components powerful also make them difficult to manufacture, integrate, and deploy at scale. Several challenges recur across the category.

  • Manufacturability and yield: new materials and devices must be produced with consistent properties across millions of units, ideally with processes compatible with existing CMOS fabrication.
  • Integration with silicon: most emerging devices must coexist with conventional electronics, which constrains the processing temperatures, materials, and interconnects that designers may use.
  • Cryogenic and infrastructure demands: superconducting and many quantum devices operate only at temperatures of a few tens of millikelvin, requiring bulky, power-hungry dilution refrigerators and dedicated control electronics.
  • Reliability and durability: flexible and stretchable systems must survive repeated bending and strain, while implantable bioelectronics must remain stable and safe inside the body for years.
  • Biocompatibility and regulation: devices that contact living tissue face strict material, safety, and regulatory requirements in addition to their electrical specifications.
  • Modeling and standards: compact device models, design tools, and industry standards for many of these technologies are still immature, which slows their adoption in mainstream design flows.

The Evolution of Electronic Components

Electronics has progressed through several transformative eras: from vacuum tubes to discrete transistors, then to integrated circuits, and now toward the physical limits of conventional silicon scaling. The components in this category represent the technologies expected to define the next era, offering new approaches to computation, storage, and sensing.

Many of these technologies draw on quantum mechanical effects, novel materials, and unconventional device physics. The memristor, predicted by Leon Chua in 1971 and demonstrated as a solid-state device by Hewlett-Packard researchers in 2008, behaves like a synapse and underpins neuromorphic and in-memory computing. Carbon nanotube field-effect transistors, with their near-ballistic transport and ultrathin channels, are a leading candidate to extend logic scaling beyond silicon; researchers have already built complete microprocessors from them, including a programmable 16-bit design. Superconducting Josephson junctions form the basis of both ultra-sensitive SQUID magnetometers and many quantum-computing qubits. Whether enabling neuromorphic computing, ultra-dense memory, conformable systems, or quantum information processing, these advanced devices broaden what electronic components can accomplish.