Development of computing and data storage systems at the nanoscale.
Nanoparticles: Tiny particles that can be used for data storage due to their high stability and ability to store information.
Molecular Electronics: An interdisciplinary field that combines chemistry, physics, engineering and computer science to create electronic devices at the molecular level.
Quantum Computing: A computing system that uses quantum mechanics principles to store and manipulate information. It has the potential to solve many computational problems faster than classical computers.
Nanoscale Device Fabrication: The process of making electronic devices using nanoscale materials and tools.
Nanomaterials: Materials made up of nanometer-sized particles that have unique properties such as high surface area and reactivity.
Nanostructured Materials: Materials that have a hierarchical structure with nanometer-sized features and properties that are superior to bulk materials.
Nanorobotics: A field that involves designing and building tiny robots that can perform tasks at the nanoscale.
Nanotubes and Nanowires: Types of nanoscale structures that can be used for data storage and other applications.
Spintronics: An emerging field that uses the electron’s spin instead of its charge to store, process and transport information.
Magnetic Storage: A common data storage technique that uses magnetized materials to store information.
Non-Volatile Memory Technologies: Memory devices that can retain data even when power is turned off.
Semiconductor Devices: Electronic devices made using semiconducting materials, such as silicon.
Molecular Memory: A type of non-volatile memory that uses molecules for data storage.
Solid State Drives: A type of data storage device that uses flash memory to store information.
Optical Memory: A type of data storage that uses light to store and retrieve data.
Polymer Electronics: An interdisciplinary field that combines organic chemistry and electrical engineering to create electronics made of polymers.
Nanolithography: The process of making structures at the nanoscale using lithographic techniques.
Carbon Nanotubes: A type of nanomaterial that can be used for data storage and other applications.
Quantum Dots: A type of nanoparticle that can have unique optical and electronic properties.
DNA Computing: A computing system that uses DNA molecules instead of the traditional silicon-based electronic devices.
Single-Electron Transistors: A type of electronic device that can control the flow of individual electrons.
Phase-Change Memory: A type of non-volatile memory that uses changes in the physical state of materials to store information.
Superconducting Electronics: A field that involves using materials that can conduct electricity with no resistance at very low temperatures.
Biocomputing: A field that involves using biological molecules, such as DNA, RNA or proteins, to perform computing tasks.
Data Encryption: A technique used to protect sensitive data by converting it into a unique code that is unreadable without a decryption key.
Quantum Computing: Uses quantum bits (qubits) to perform operations, leading to a vast improvement in speed and efficiency over classical computing.
Molecular Electronics: The use of molecules for electronic devices, leading to ultra-small computing systems.
Nanowires: Conductive wires on a nanometer scale, leading to higher density data storage and faster processing speeds.
Spintronics: Utilizes an electron's spin instead of its charge, leading to lower power consumption and faster data processing.
DNA Computing: Uses the unique characteristics of DNA molecules to perform complex calculations.
Atomic Scale Memory: A type of data storage where single atoms are used to represent bits of data.
Nanophotonics: The use of light to manipulate and process data at a nanoscale, leading to faster communication speeds and increased bandwidth.
Carbon Nanotubes: Extremely strong and conductive cylinders made of carbon atoms, with potential applications in computing and data storage.
Memristor Technology: A type of memory device that can store data without a constant power source and is more energy-efficient than traditional memory technologies.
Neuromorphic Computing: A type of computing that mimics the architecture and functionality of the human brain, leading to faster data processing and lower power consumption.