AI-driven innovations and computational methods

During RNA world transitions using gate-all-around nanosheet transistors

RNA world nanosheet transistors abiogenesis computational biology nanotechnology

Synthesizing algebraic geometry with neural networks for 3D protein folding predictions

algebraic geometry neural networks protein folding computational biology AI-driven modeling

Reengineering Renaissance clock mechanisms using generative design optimization

computational design heritage engineering mechanical clocks topology optimization cultural preservation

Engineering next-generation gene therapies employing viral vector capsid diversification

viral vectors gene therapy capsid engineering computational biology immunotherapy

Computational retrosynthesis for rare-earth element recycling from e-waste under green chemistry constraints

solvent design ligand databases circular economy life cycle assessment hydrometallurgy

Considering 10,000-year material stability in nuclear waste encapsulation employing retrieval-augmented generation AI

nuclear waste storage material stability AI-assisted design radiation shielding long-term encapsulation

Protein folding intermediates in microgravity via reaction prediction transformers

protein folding microgravity transformer models biophysics space biology

For exascale system integration of neuromorphic computing architectures

exascale computing neuromorphic engineering AI integration supercomputing adaptive algorithms

Catalyst discovery algorithms for sustainable megayear material degradation prediction

catalyst discovery material degradation AI simulation extreme environments sustainability

Investigating quantum coherence windows for error-resistant photonic quantum computing architectures

quantum coherence photonic computing quantum error correction qubits quantum optics

Marrying ethology with swarm robotics through cephalopod-inspired camouflage algorithms

bioinspired robotics dynamic camouflage swarm intelligence cephalopod ethology morphable surfaces

Bridging current and next-gen AI through hybrid photonic-electronic tensor cores

optical computing matrix multiplication heterogeneous integration analog AI