Open research in spectral theory, optimization dynamics, and physics-based computation. All results publicly verifiable. Datasets CC-BY-4.0. Scripts MIT.
Stagnation Dynamics, Semantic Precision & Hybrid Optimization
Five-paper series establishing stagnation dynamics as the dominant predictor of optimization outcomes with a universal three-regime structure.
Cross-Domain Spectral Neural Network
A 72,264-parameter pure Python neural network trained across 18 scientific domains using spectral mathematics from the Unity Lang project.
Physics-Native Programming Language
A programming language implementing the Trinity Execution Model and spectral mathematics — where code IS mathematics IS physics.
Phase-Based Neural Embeddings
Complex-valued phase-rotation embeddings achieving 97.1% certified accuracy with 10M parameters and sub-10ms latency for precision NLP.
Monster Group--Riemann Zeta Spectral Connection
28,160 testable Lehmer pair predictions plus Monster Group moonshine peaks. 6 confirmed, 1 falsified and reported.
Public Verification Tools
Open-source problem generators, solution validators, and claim verification scripts for independent evaluation of DSC-1 performance claims.
Blockchain Key Overlap Detection Tool
Tool built on Daugherty et al. (arXiv:2601.19500) for detecting cross-chain cryptographic key reuse across Bitcoin and Ethereum networks.