{"artifact_id":"L1-932","layer":"L1","title":"DNA Nanotechnology — Programmable Self-Assembly","domain":"Nanotechnology","sub_domain":"DNA Origami","physics_fingerprint":{"title":"DNA Nanotechnology — Programmable Self-Assembly","domain":"Nanotechnology","chapter":"Ch.15 Materials & Nanotechnology","sub_domain":"DNA Origami","forward_model":"Sequence-programmed self-assembly: hybridization thermodynamics (nearest-neighbor ΔG) set a folding free-energy landscape; correct-fold yield from the equilibrium partition function over the staple/scaffold design.","challenge_blurb":"Program matter to fold itself — design DNA sequences that self-assemble into a target nanostructure at high yield.","challenge_group":"nano","challenge_short":"DNA Self-Assembly","grand_challenge":true,"governing_equation":"ΔG = Σ ΔG_NN;   yield = Z_target / Z_total  over the folding landscape"},"observable_profile":{"unit":"correct-fold yield (higher better)","floor":0.7,"metric":"folding_yield","sota_reference":"scaffolded DNA origami (caDNAno/oxDNA design pipelines)"},"size_tiers":{"staples":[20,200,2000],"scaffold_nt":[1000,7000,50000]},"hardness_fn":{"type":"grand_challenge","metric":"folding_yield","baseline":"Nearest-neighbor ΔG heuristic","delta_tier":50},"initiator_dataset":[{"name":"DNA-origami design/yield corpus","weight":0.6,"ipfs_cid":null,"license_hash":null},{"name":"oxDNA folding-simulation set","weight":0.4,"ipfs_cid":null,"license_hash":null}],"status":"testnet","staked_pwm":5000.0,"chain_hash":null,"chain_tx_hash":null,"chain_block":null}