Input structures, fluids, workflows or even conversations for a specialized results file
SolverAI learns from simulations, physical tests and generic data to predict results for your engineering and scientific analysis.
SolverAI
Leveraging advanced artificial intelligence, d3VIEW now integrates SOLVERAI, deployable across both on-premise and cloud environments. SOLVERAI is designed to learn from existing simulation results or CAD data provided in neutral formats, as well as from Workflow-generated, curated Design-of-Experiments (DOE) datasets, to systematically build predictive intelligence.
Originally developed to address AI-driven material calibration incorporating full strain-field responses and time-history predictions, SOLVERAI has since evolved into a core component of a broader application framework. It now supports learning and prediction across a wide spectrum of engineering problems, ranging from material behavior at the coupon level to highly dynamic, non-linear systems such as airbag deployment involving leakage, contact, and transient interactions.
SOLVERAI can be deployed as a standalone capability or embedded within end-to-end workflows to automate and streamline complex engineering processes. Development is expected to accelerate through 2026, with SOLVERAI becoming an integral intelligence layer within the d3VIEW platform, enabling scalable, AI-driven modeling and prediction across universal engineering systems.
SolverAI
A Comprehensive Application using Artificial Intelligence to learn and predict transient real-world physics using numerical simulation data.
SolverAI’s Deep Learning interface is designed to enable seamless integration of deep learning capabilities within the d3VIEW platform.
Neural Network Based and Physics Integrated
SolverAI provides a powerful and flexible package that supports a wide range of tasks including :
- Mesh Graph Neural Network Modeling
Built for handling complex 3D structural simulations and predict sequential states of nodal positions and their properties.
- Curve Prediction/Regression
Designed for modeling sequential trends commonly seen in time-dependent or simulation-based tasks.
- Classification
Designed to address both traditional and ordinal classification problems using deep learning.
SolverAI leverages state-of-the-art deep learning models – both standard and custom built with extensive support for hyperparameter tuning through:
- Config Files
- Command Line Interface (CLI)
Mesh Graph Neural Net Output:
Comparison between Actual and Predicted Cross Model State Transition
Actual Cross Model State Transition
Predicted Cross Model State Transition
Start Solving with AI
d3VIEW SolverAI is available On Premise or Cloud and does not require an extra license.