Use Cases

PapersFlow for Physics & Mathematics Research

Explore physics and mathematics research with SymPy symbolic computation, TikZ/LaTeX diagram generation, numerical analysis with scipy and numpy, and dual-source search via Semantic Scholar and OpenAlex.

Search physics and math papers, run symbolic computations with SymPy, generate TikZ diagrams and LaTeX, and perform numerical analysis — all in one AI research platform.

Physics and mathematics research requires a unique combination of literature awareness, symbolic computation, and visual communication. You read a paper on topological quantum computing, need to verify a derivation using symbolic math, want to generate a quantum circuit diagram for your own paper, and must cite everything in APS format. Each step requires a different tool, and the mathematical notation that is central to these fields makes standard text-based search inadequate.

What You Can Do

  • SymPy Symbolic Mathematics
  • TikZ and LaTeX Diagram Generation
  • Numerical Analysis (scipy, numpy, pint)
  • Dual-Source Search (Semantic Scholar + OpenAlex)

Tools

Compare

Frequently Asked Questions

Can PapersFlow handle LaTeX math notation in queries?
Yes. You can include LaTeX notation in your queries and PapersFlow will understand the mathematical content. For example, you can search for papers involving specific equations, operators, or mathematical structures using standard LaTeX syntax.
How good are the TikZ diagrams it generates?
PapersFlow generates compilable TikZ code for common physics and math diagrams: quantum circuits, Feynman diagrams, commutative diagrams, geometric constructions, and flowcharts. Simple diagrams often compile on the first try; complex ones may need iterative refinement via natural-language instructions or direct TikZ editing.
Does it cover both physics and pure mathematics?
Yes. The search spans physics, pure mathematics, applied mathematics, and mathematical physics. This is particularly valuable for interdisciplinary areas like quantum information theory, where results from computer science, physics, and mathematics all contribute.
Can I verify symbolic derivations from papers?
Yes. Use the SymPy integration to reproduce and verify symbolic computations. You can input equations from a paper and check intermediate steps, solve for specific variables, or extend the derivation in new directions.