Qualified Research

Can Simulation and Modeling Be Part of Qualified Research?

Simulation and modeling may be part of qualified research when used to evaluate alternatives to resolve a technical uncertainty. Running standard simulations for verification or estimation generally is not, by itself, qualified research.

A common question is whether simulation and modeling can be part of qualified research for the federal R&D tax credit under Section 41. The short answer is that simulation and modeling may be part of qualified research when they are used to evaluate alternatives to resolve a technical uncertainty about a business component. Running standard simulations for verification or estimation generally is not, by itself, qualified research. This page explains the framework in general terms. It is educational and is not individualized advice. For the foundational framework, see our page on qualified research.

When Simulation and Modeling May Warrant Review

Simulation and modeling may warrant review as part of qualified research when they are used as an evaluative process of alternatives. The Treasury Regulations expressly identify modeling and simulation as examples of evaluative processes that can constitute a process of experimentation. Under the four-part test, the work must be for a permitted purpose, be technological in nature, be intended to eliminate uncertainty, and be conducted through a process of experimentation.

Common scenarios that may warrant review include:

  • Alternative design evaluation — using simulation to evaluate alternative designs to resolve uncertainty about which can achieve the required performance.
  • New system prediction — using modeling to resolve uncertainty about whether a new system can achieve a required capability.
  • Parameter optimization — using simulation to evaluate alternative parameters to resolve uncertainty about which combination achieves the target.
  • Failure prediction — using modeling to resolve uncertainty about how a new design will perform under operating conditions.

Routine Simulation vs. Simulation as Research

A central distinction is between routine simulation and simulation as research:

  • Routine simulation — running standard simulations for verification, estimation, or compliance using established models and known inputs. There is no technical uncertainty about whether the simulation will produce a result. This is analysis, not research.
  • Simulation as research — using simulation to evaluate alternatives where there is a technical uncertainty about whether the design or process can achieve the required performance, and the simulation is designed to resolve that uncertainty. This may warrant review.

The distinction turns on whether the simulation is being used to evaluate alternatives to resolve a genuine technical uncertainty, or merely to verify a known result.

Hypothetical Example

Consider a manufacturer that is developing a new heat-exchanger design for a new application and is uncertain whether any available geometry can achieve the required heat-transfer performance within the space constraints. The company builds a simulation model, evaluates alternative geometries, runs each through the simulation, and systematically varies the approach to resolve the uncertainty. This use of simulation to evaluate alternatives to resolve a technical uncertainty may warrant review as qualified research.

By contrast, if the same manufacturer runs a standard heat-transfer simulation on a known heat-exchanger design to verify its performance, that is routine simulation, not research.

This example is illustrative only and does not state that the activity definitely qualifies.

Modeling and the Regulations

The Treasury Regulations expressly identify modeling and simulation as examples of evaluative processes that can constitute a process of experimentation. This means that simulation and modeling are not categorically excluded — but they must be part of an evaluative process directed at resolving a technical uncertainty about a business component. A simulation that merely confirms a known result, or that is used for estimation or compliance, is generally not part of a process of experimentation.

Documentation That May Help

Records that can help support simulation-related claims include simulation plans identifying the uncertainty and the alternatives being evaluated, model inputs and assumptions, simulation results, and records of how the results informed design or process decisions. For more, see our page on R&D tax credit documentation.

Key Takeaway

Simulation and modeling may be part of qualified research when they are used to evaluate alternatives to resolve a technical uncertainty about a business component. Running standard simulations for verification or estimation generally is not, by itself, qualified research. Because the distinction is fact-specific, professional review is appropriate before claiming the credit.

Sources

  1. Treasury Regulation §1.41-4

    Cornell Law Institute (LII)

    Expressly identifies modeling and simulation as examples of evaluative processes that can constitute a process of experimentation.

  2. Internal Revenue Code §41

    Cornell Law Institute (LII)

    Section 41(d) defines qualified research and the four-part test.

  3. Instructions for Form 6765

    Internal Revenue Service

    Summarizes qualified research and excluded activities.

  4. Research Credit

    Internal Revenue Service

    IRS landing page for the Credit for Increasing Research Activities.

By R&D Ledger Editorial Team

Last reviewed: August 2026

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