Physics World Model

Find SOTA solutions for your scientific problem

Physics World Model provides Solutions, Benchmarks, Specs and Principles for AI4Science, starting from Computational Imaging.

A decentralized registry of verifiable scientific solution certificates — browse 169 imaging-system variants with public + hidden test sets, on-chain leaderboards, and dataset downloads.

Or jump straight in: Browse all benchmarks · AI4Science · How to get PWM · AI-assisted templates

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169

Benchmarks

172

Modalities

Trust tiers

Open

NumFOCUS nonprofit

Flagship Leaderboards

Top-performing methods on 10 flagship imaging challenges — from medical to quantum.

CT

Medical

R(θ) → Π(fan) → D(g, η₁)

Standard Leaderboard

MRI

Medical

F(k-traj) → D(g, η₁)

Standard Leaderboard

🥇 SwinMR++ 43.8 dB

🥈 HUMUS-Net++ 43.1 dB

🥉 MR-IPT 42.5 dB

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Cryo-EM Single Particle Analysis

Scientific Instrumentation

C → D

Standard Leaderboard

🥇 DiffusionCryo 39.8 dB

🥈 CryoSTAR 38.4 dB

🥉 CryoFormer 37.1 dB

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Ultrasound

Medical Ultrasound

P(acoustic) → Σ_t → D(g, η₂)

Standard Leaderboard

🥇 ScoreUS 36.3 dB

🥈 DiffUS 36.0 dB

🥉 AttentionBeam 35.5 dB

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CASSI

Compressive

M(mask) → W(α, a) → Σ_λ → D(g, η₄)

Standard Leaderboard

🥇 MiJUN-5stg 40.9 dB

🥈 RDLUF-MixS2-9stg 39.6 dB

🥉 DAUHST-9stg 38.4 dB

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NeRF

Neural Rendering

Π(ray) → Σ(volume) → D(g, η₁)

Standard Leaderboard

🥇 NeRFactor2 35.9 dB

🥈 GaussianShader 35.2 dB

🥉 3D-GS++ 34.5 dB

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OCT

Clinical Optics

P(low-coherence) → Σ(interference) → D(g, η₁)

Standard Leaderboard

🥇 ScoreOCT 38.0 dB

🥈 DiffusionOCT 37.5 dB

🥉 SpeckleFormer 36.9 dB

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PET

Medical

Π(LOR) → Σ_t → D(g, η₃)

Standard Leaderboard

SAR

Remote Sensing

F(azimuth×range) → D(g, η₁)

Standard Leaderboard

🥇 DiffusionSAR 35.4 dB

🥈 PanSharpener++ 34.6 dB

🥉 SARFormer 33.9 dB

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Ghost Imaging

Quantum

M → Σ → D

Standard Leaderboard

🥇 ScoreQuantum 29.5 dB

🥈 Ghost-ViT 30.1 dB

🥉 Quantum-ViT 28.8 dB

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✦

AI4Science

4 operators

Compose PWM's protocol primitives — L1 principles, L2 specs, L3 benchmarks, L4 certificates — into intelligent operators for reconstruction, design, mismatch diagnosis, and scientific simulation.

Open AI4Science →

L1 Principle L2 Spec L3 Benchmark L4 Certificate