By COMSOL, Inc.
Modeling and simulation gives a preview of the real-world outcome before committing to a project plan or design, and coupled with experimental data, it creates a more comprehensive understanding of results. In that sense, building and distributing your own simulation apps is like giving your employees and colleagues direct access to a personal simulation expert in the exact moment when they need it, whether out in the field, on the factory floor, or in the lab. Organizations that use simulation apps throughout the R&D process see productivity gains through faster iterations and improved collective knowledge retention. The apps can also be used to gather real-world data from the field, factory, or lab to help the design and simulation engineers validate their models back at the office. The simulation-driven R&D workflow is most successful when collaborators across teams, departments, organizations, and enterprises are able to access and contribute to the modeling results, and simulation apps make this possible. Bring Apps... Into the Field Make simulation-guided decisions onsite using real-time information such as weather, customer-provided, and other situational data. Onto the Factory Floor Manufacture better products by optimizing production processes based on facility conditions and validating on-the-spot design changes. Into the Lab Combine experimental testing with simulation on location to enhance understanding and make faster predictions based on results. Throughout the Office Streamline the R&D workflow, iterate on designs faster, and facilitate knowledge sharing by making simulation accessible across teams and departments. To the Classroom Train the next generation of innovators more easily by building simulation apps to teach physics concepts in an intuitive way and to make lab courses accessible virtually. Built-In Tools Use drag-and-drop functionality to quickly build your app's user interface to include input fields, buttons, sliders, knobs, and more. You can also customize your apps further by writing your own code. Machine Learning Train surrogate models using the Model Builder and integrate them into your simulation apps to provide app users with near-instantaneous results in response to their inputs.
