Energy-Physics-Pipeline

Package Install

Installable package: python3.11 -m pip install energy-physics-pipeline. Current release: 0.1.0 on PyPI. Source: Zer0pa/Energy-Physics-Pipeline.

python3.11 -m pip install energy-physics-pipeline

For full install, smoke, source, and developer commands, click here.

---

00 · ENERGY · IN-SILICO PHYSICS PIPELINE RESEARCH-READY · H100 WAVE OPEN Six-Layer Physics Energy R&D Live experiment. Not a release. Ambition headlined. Claims bounded. In-silico physics pipeline · electrochemistry to fusion · Energy-Physics-Pipeline Energy research groups need a reproducible baseline before they spend H100 budget. Energy-Physics-Pipeline organizes six in-silico layers — electrons, atoms, mesoscale, device, stack, orchestration — across electrochemistry and fusion/plasma research, all running on commodity CPUs today. 475 of 475 strict CPU tests pass at 79.72% coverage; 39 of 39 source manifests verify; 6 of 6 anchors resolve. H100 execution remains untested. This is research infrastructure, not a deployable energy product.

Scope: CPU baseline across six in-silico layers. 475 strict tests, manifests, and anchors pass; H100 evidence is not yet claimed.

01 · THE GAP CPU BASELINE FIRST “Energy teams need a reproducible CPU baseline before GPU/H100 physics runs carry weight.”

02 · MARKETS USER GROUPS Fusion / plasma research $496.7B '31 Hydrogen generation $316.5B '30 Fuel-cell modeling $17.9B '30 Computational chemistry $13.7B '30 Battery software $8.9B '30 Adjacent energy-transition forecasts; this pipeline is research infrastructure, not a deployable energy product or certification claim.

03 · VALUE OF MARKET 475/475 PASS Six layers run end-to-end on commodity CPUs, before any GPU hour is spent.

04 · INSIGHT 475 / 475 CPU pass. GPU execution still untested.

05.0 · CURRENT TECH POINT TOOLS + HPC Battery, electrochemistry, and fusion teams each run mature solvers — but in separate stacks, with separate manifests, separate result formats, and separate notions of which version of which dataset was actually used.

05.1 · OUR TECH CPU-FIRST BASELINE Energy-Physics-Pipeline ships one CPU-first stack across six layers — electrons, atoms, mesoscale, device, stack, orchestration. Source manifests resolve at known SHAs, electrochemistry and fusion runs share the same execution path, and the same code path will run on GPU once cluster time arrives. A research engineer can re-run the full chain on a laptop.

05.2 · BENCHMARKS STRICT FULL CHECK Strict475 / 475tests PASS Coverage79.72% of source Sources39 / 39verified, 0 miss Anchors6 / 6resolve CPU strict 475/475 Source verify 39/39 Cutover hooks staged Open work: H100 enterprise wave untested — 180–500 GPU-hours pending real cluster time.

06 · MEASUREMENT STRICT FULL + SOURCE VERIFY CPU results come first; GPU runs are still untested.

06.1 · BOUNDED VALIDATION ON STRICT CPU CHAIN CPU strict 475 / 475 Source verify 39 / 39 Runpod cutover hooks staged H100 execution wave 0 / 180–500 hrs Strict CPU check plus source verification across all six layers · 39 of 39 manifests resolve at known SHAs · GPU execution path wired but unrun · H100 wave open at 180–500 GPU-hours.

07 · KEY METRICS STRICT FULL CHECK + SOURCE VERIFY

07.1 · CPU STRICT CHECK 475/475PASS Strict full check · 0 miss

07.2 · COVERAGE 79.72% Of source · strict full check

07.3 · SOURCE MANIFESTS 39/39OK Verified at known SHAs · 0 miss

07.4 · H100 BUDGET 180–500HRS H100 execution · not yet run

07.5 · PIPELINE LAYERS 6layers Electrons through orchestration

08 · DETERMINISM FROZEN-INPUTS · CPU CHAIN CPU layer outputs re-derive from frozen inputs.

08.1 · WHAT DETERMINISTIC MEANS STRICT-FULL · SAME ENDPOINTS Across all six layers — electrons through orchestration — current results are reproducible from frozen inputs on commodity CPU. Source manifests resolve at known SHAs, and Runpod cutover hooks preserve the same endpoint shape for later GPU runs. Unit of bit-exactness: per-layer, against strict-full on a fresh venv. H100 enterprise work must later pass CPU-vs-GPU regression against real GPU artifacts before it can claim parity with the CPU baseline.

08.2 · THE FIDELITY GAP Honest Blocker · No GPU-backed enterprise completion wave has run yet. PyPI remains at energy-physics-pipeline 0.1.0 with stale text; 0.1.1 is pending. Smoke tests and shaped envelopes are not completion. No production, regulatory, or defense claim. 180–500 H100-hours are owed before this becomes a GPU-backed result.

09 ONE STACK FROM ELECTRONS TO FUSION.

09.1 · THIS REPO'S AMBITION The ambition is one public energy-computation workbench that a fusion lab, an electrochemistry group, and a grid-physics modeler can all extend without forking. CPU baselines, GPU execution, source manifests, and domain routing share one architecture so the science argument stays about physics, not tooling.

09.2 · WHAT WORKS NOW Working now: CPU strict baseline, source manifests at known SHAs, domain routing, and Runpod GPU cutover staged.

09.3 · WHAT'S STILL OPEN Still open: H100 execution wave, PyPI 0.1.1 release, GPU-comparison artifacts, and broader domain data.

09.4 · RELEASES · NEAR-TERM (12–24 MO) Public package matches the working repo A research engineer evaluating tools no longer has to choose between a stale PyPI page and a fresher GitHub. Procurement, software audits, and library-of-record decisions can use the same identity the running pipeline carries.

09.5 · ELECTROCHEMISTRY · NEAR-TERM (12–24 MO) Battery and hydrogen runs gain a shared yardstick A battery-materials group and a hydrogen-electrolyzer group can compare numbers across the same six-layer chain instead of arguing about toolchains. CPU baselines settle the methodology argument before either team spends device-cluster hours.

09.6 · FUSION · MID-TERM (24–48 MO) GPU plasma runs inherit the CPU receipt When H100 fusion and plasma work lands inside the same execution path, scale stops weakening evidence. A national lab can attach the GPU run, the CPU comparison, and the source manifest to the same record a reviewer will read.

09.7 · DOMAINS · MID-TERM (24–48 MO) Energy domains stop forking their stacks Battery research, fuel-cell modeling, and fusion teams stop maintaining bespoke pipelines for queueing, source manifests, and result tables. A shared workbench means a postdoc moves between domains without learning a new operations stack.

09.8 · GRID · PARADIGM (48 MO+) Energy R&D ships the whole run, not the result Funders, regulators, and grid planners stop reviewing a single number. They review the run object — inputs, environment, source SHAs, comparisons, boundary notes — and decide what to fund or interconnect against an artifact they can re-run themselves.

---

Install / Developer Commands Detailed

Package Install

Installable package: python3.11 -m pip install energy-physics-pipeline. Current release: 0.1.0 on PyPI. Source: Zer0pa/Energy-Physics-Pipeline.

python3.11 -m pip install energy-physics-pipeline

Import smoke:

python3.11 - <<'PY'
import importlib.metadata as md
import energy_physics_pipeline

print("energy-physics-pipeline", md.version("energy-physics-pipeline"))
PY

CLI smoke:

energy-physics --help

Install success only proves package acquisition/import. Product scope, stale PyPI state, platform limits, and blockers remain in the front-door sections below.

• PyPI project URLs are incomplete and PyPI copy is stale; install success is not product readiness.

Quick Start

git clone https://github.com/Zer0pa/Energy-Physics-Pipeline
cd Energy-Physics-Pipeline
python3.13 -m venv .venv
.venv/bin/pip install -e '.[test,tda,mcp]'
.venv/bin/pip install pybamm pybop pypsa pvlib cantera pyscf netCDF4 freegs omas pyrokinetics qiskit mcp ripser persim
ENERGY_AUDIT_DIR=$(mktemp -d) ENERGY_KG_DIR=$(mktemp -d) bash scripts/full_check.sh
energy-physics --help

Runpod migration starts by setting ENERGY_RUNPOD_BASE_URL and flipping the target layer with ENERGY_L?_BACKEND=runpod_rest. The enterprise completion standard is in H100-ENTERPRISE-COMPLETION-PLAN.md.