Atomfair Brainwave Hub: SciBase II / Artificial Intelligence and Machine Learning / AI-driven innovations and computational methods

AI-driven innovations and computational methods

Showing 49-60 of 88 articles

Optimizing photomask designs via computational lithography for next-gen semiconductor manufacturing

Developing silicon photonics co-integration for next-generation optical computing architectures

Accelerating green hydrogen production via high-throughput screening of transition metal dichalcogenide catalysts

Via generative design optimization, can we create more efficient heat exchangers for nuclear fusion reactors?

Accelerating 2030 materials development using high-throughput computational screening techniques

For post-quantum cryptography transition using lattice-based homomorphic encryption

Via computational lithography optimizations to extend EUV patterning limits

Through EUV mask defect mitigation using AI-driven nanoscale repair techniques

Mitigating EUV mask defects through advanced computational lithography techniques

Investigating axonal propagation delays in neurodegenerative diseases using computational models

Integrating neutrino physics with positron emission tomography for enhanced medical imaging resolution

Enhancing quantum error correction with human-in-the-loop adaptation for scalable qubit arrays