LLM-Mediated Simulation Input Validation From Definition Files

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Solution Overview

Problem

Current simulation tools for physical phenomena require deep technical knowledge and complex user interfaces, making them difficult to navigate and maintain, while large language models (LLMs) struggle with very specific topics due to broad training data, limiting their effectiveness for scientists and engineers.

Innovation Solution

An apparatus and method utilizing a user interface, computer interface, and processing unit to interact with a large language model processor, facilitating the determination of simulation input data through natural language and predefined definition files, ensuring valid input data is provided to simulation software.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If complex user interfaces and extensive documentation are used for simulation software, then the functionality and precision of simulation input data are improved, but the ease of operation and user accessibility deteriorate

Engineering Contradiction:

Improveprecision of simulation input dataVSAvoidease of operation of simulation software

Core Design Contradiction:

Measurement precisionVSEase of operation

Solution Approach 1:

The patent introduces a natural language processing intermediary layer between the user and the simulation software. Users can input requirements in natural language through a chat interface, and the system automatically translates these into the complex simulation input data structures required by the software, eliminating the need for users to directly interact with complex UIs or documentation

Inventive Principle:

Principle #24Intermediary (Mediator)

Solution Approach 2:

The system enables self-service by automatically generating, validating, and optimizing simulation input data based on user requirements. The chatbot autonomously performs tasks that previously required expert knowledge, such as determining appropriate simulation parameters, selecting suitable algorithms, and ensuring data validity according to predefined schemas

Inventive Principle:

Principle #25Self-service

2Adaptability or versatility

If large language models are trained on general data, then the versatility and broad applicability of the model are improved, but the precision and reliability for very specific scientific topics deteriorate

Engineering Contradiction:

Improvebroad applicability of LLMVSAvoidreliability for specific scientific topics

Core Design Contradiction:

Adaptability or versatilityVSReliability

Solution Approach 1:

The patent applies local quality by enhancing the general LLM with domain-specific knowledge tailored to simulation science. The system uses predefined data schemas, validation rules, and scientific constraints specific to simulation input data to ensure that the model's general capabilities are directed toward producing reliable, topic-specific results with appropriate precision and formatting

Inventive Principle:

Principle #3Local quality

3Reliability

If complex data structures and technical knowledge are required for simulation input, then the validity and accuracy of simulation results are improved, but the productivity and efficiency of the simulation process deteriorate

Engineering Contradiction:

Improvevalidity of simulation resultsVSAvoidproductivity of simulation process

Core Design Contradiction:

ReliabilityVSProductivity

Solution Approach 1:

The system performs preliminary actions by pre-defining data schemas, validation rules, and acceptable input formats for simulation software. The chatbot uses these predefined structures to guide users and automatically format their inputs, ensuring validity before submission to the simulation engine, thereby maintaining reliability while accelerating the process

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The patent replaces the manual mechanical process of constructing complex simulation input data with an automated AI-driven system. The chatbot automatically translates natural language requirements into structured simulation input, validates the data against predefined schemas, and generates ready-to-execute configurations, eliminating time-consuming manual data entry and validation steps

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentUS20250291975A1Determining simulation input data

Publication Date: 2025.09.18 HQS QUANTUM SIMULATIONS GMBH

AI summary

An apparatus for determining simulation input data for simulating a physical phenomenon with a simulation software includes a user interface for receiving user input data relating to the physical phenomenon to be simulated and a computer interface for extracting initialization data from a predefined definition file. The computer interface is configured to provide the initialization data and user input data to a large language model processor and to receive feedback data and/or simulation input data from the large language model processor. The apparatus further includes a processing unit for determining whether the feedback data indicates that further user input data is required and for controlling the user interface to correspondingly prompt the user and controlling the computer interface to provide the further user input data to the large language model processor in this case, and (b) whether the simulation input data is valid based on the predefined definition file.