AI for science

Terminal-Bench-Science

Scientific computing tasks for calibration, experimental design and uncertainty analysis.

Benchmark / task domain

Terminal-Bench format

The work

Turn scientific models and research inputs into executable tasks.

Agents work with scientific models and research inputs to estimate parameters, compare explanations and assess predictions. Required outputs include numerical results and a clear account of the method used.

Delivery can include

01
Harbor-format task packages with Markdown instructions and task.toml configuration
02
Docker environment definitions, research inputs and output schemas
03
Reference solutions and numerical evaluation code

How we evaluate the task

Define how to evaluate the result.

01

Scientific task requirements

02

Numerical results and interpretation

03

Completeness of the analysis

WORK WITH ASTRAFLUX

What should your
model be able to do?

Share the capability, task types and delivery requirements. We’ll discuss the right program and representative tasks.

Contact us norman383@astraflux.space

Benchmark names indicate reference directions. Task scope and delivery specifications are agreed for each project.