hbar.science

An AI-native, artifact-first research environment for computational and interdisciplinary science.

A public curated research environment. Methods and artifacts are documented below. Contributions are currently by invitation or collaboration.

What this is

hbar.science is a research environment focused on transparent, reproducible, AI-assisted inquiry. Work here is published as inspectable artifacts—code, data, and models—rather than opaque claims.

How work is labeled

Zone

Hypothesis, Exploration, Evidence, or Synthesis

Rigor Tier

T0 (concept) through T3 (validated)

AI Level

A0 (none) through A4 (autonomous)

Featured artifacts

The Future Evolution of hbar.science

Plausible directions for platform evolution: living artifacts, AI transparency, replication workflows, and lightweight stewardship.

SynthesisT0A1essayRigor: 0/82024-12-14

GPU Concurrency Benchmark — vLLM Serving Box (RTX PRO 6000 Blackwell)

Measured the concurrent-request ceiling of a single RTX PRO 6000 Blackwell Server Edition GPU serving Llama 3.3 70B Q4_K_M GGUF under vLLM 0.21.0, to replace the ~25-user-per-box estimate in the sovereign-compute architecture with a measured number. Result: as-deployed ceiling is ~5 in-flight requests, falsifying the architecture-doc hypothesis 5×; the gap is attributable to software configuration (GGUF format, fp16 KV cache, FlashAttention v2, native PyTorch sampler) rather than hardware. Derived per-user GPU cost ~€16/month validates the €29 subscription placeholder within ~€2.

EvidenceT0A0analysisRigor: 0/82026-05-21

HOPSO: Harmonic Oscillator–Based Particle Swarm Optimization (Reference Implementation)

Reference Python implementation of the Harmonic Oscillator–Based Particle Swarm Optimization (HOPSO) algorithm, corresponding to the published PLOS ONE article.

EvidenceT3A0codeRigor: 7/8
!

Compliance: 4/5 (80%)

Missing: Environment hash documented

2025-01-01

HOPSO — VQE Optimizer Implementation

Reference implementation of the HOPSO classical optimizer adapted for use in variational quantum eigensolver (VQE) workflows.

ExplorationT1A0codeRigor: 1/8
!

Compliance: 1/2 (50%)

Missing: Deterministic seed documented

2025-01-01

Institutionalized Science: Incentives, Access, and the Limits of the Journal Model

An analysis of structural constraints in contemporary scientific publishing and institutional research.

SynthesisT0A1essayRigor: 0/82024-12-14

VQE Regularization Evaluation Pipeline

Computational pipeline for evaluating regularization effects in variational quantum eigensolvers, including parameter sweeps and optimization landscape analysis.

ExplorationT1A1analysisRigor: 1/8
!

Compliance: 1/3 (33%)

Missing: Deterministic seed documented

Missing: AI audit missing/incomplete

2025-01-01