Atomfair Brainwave Hub: SciBase II / Advanced Materials and Nanotechnology / Advanced materials for energy and computing

Advanced materials for energy and computing

Showing 1-12 of 92 articles

Employing silicon photonics co-integration for ultra-low-power optical neural networks

Using topological insulators for spintronics in ultra-low-power quantum computing architectures

At millikelvin thermal states for quantum computing error correction

With resistive RAM for in-memory computing to break the von Neumann bottleneck

Quantum coherence in attojoule energy regimes for nanoscale thermal computing devices

Optimizing quantum error correction through topological surface code implementations

Optimizing quantum error correction at spin relaxation timescales in solid-state qubits

Exploring quantum coherence in superconducting qubits at millikelvin thermal states

Enhancing spin relaxation timescales in quantum dots via mitochondrial uncoupling techniques

Anticipating 2035 energy grid demands with Planck-scale approximation models

With resistive RAM for in-memory computing to revolutionize edge AI devices through embodied active learning

At Josephson junction frequencies with patent-expired innovations for scalable quantum computing