Research Discovery Intelligence

AI-discovered hypotheses, stress-tested and formally validated

solver.press publishes cross-domain research hypotheses generated by a five-model AI ensemble, validated through adversarial debate and Z3 formal verification.

✦ Cross-domain hypothesis generation✦ Five-model adversarial debate✦ Z3 logical consistency checks✦ Experimental Validation Packages

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Highest-confidence discovery

72% evaluation scoreEVP available

FlashOptim's memory-efficient mixed-precision training can be extended to surrogate models used in amortized optimization, enabling larger surrogate networks on memory-constrained accelerators.

Physics · FlashOptim's memory-efficient mixed-precision training can be extended to surrogate models used in amortized optimizatio…

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Recent discoveries

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Computer Science + Biology + PhysicsApr 14, 2026Evaluation Score: 68%

Post-quantum cryptographic techniques for message transformation can be applied to secure the transmission of sensitive …

EVP available

Source: AegisMind Research

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Biology + Medicine + PhysicsApr 9, 2026Evaluation Score: 68%

Proton quantum effects in high-pressure H₃S superconductors, as studied via NEO-DFT, can be modeled using resource-ef…

EVP available

Source: AegisMind Research

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Computer Science + PhysicsMar 11, 2026Evaluation Score: 67%

The evolutionary loop in AdaEvolve can incorporate a reduced-order model of the fitness landscape, analogous to structur…

EVP available

Source: AegisMind Research

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Mathematics + PhysicsApr 1, 2026Evaluation Score: 70%

Performative scenario optimization solutions converge to classical stochastic programming solutions as the strength of t…

EVP available

Source: AegisMind Research

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Physics + Computer ScienceMar 19, 2026Evaluation Score: 68%

The amortized optimization framework can learn a mapping from market condition parameters to optimal portfolio allocatio…

Source: AegisMind Research

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Physics + Computer ScienceMar 18, 2026Evaluation Score: 67%

The adaptive sampling algorithm for reduced-order models can be repurposed to adaptively select training examples for am…

Source: AegisMind Research

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How discoveries are made

Ingest research papers

arXiv and Semantic Scholar papers across 15+ scientific domains are embedded into a vector store and searched for cross-domain bridges.

Multi-model debate

Five frontier models (Claude, GPT, Gemini, Grok, Mistral) independently generate hypotheses then critique each other in adversarial debate. Only survivors are kept.

Formal validation + EVP

Z3 checks logical consistency. High-confidence discoveries receive an Experimental Validation Package — a full protocol for how to test the hypothesis.

For research teams

solver.press is the public window into the AegisMind discovery engine. Research teams can query the engine directly for specific domains and receive full Experimental Validation Packages with experimental protocols, cost estimates, and dependency maps.

Access the discovery engine at aegismind.app →