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Learning Objectives

At the end of this simulation, you will be able to:

Use chromatography techniques in simulations to purify proteins, learning the key factors that affect efficiency and yield.
Learn to interpret experimental data on protein structure, stability, and functional properties.
Use interactive lessons to explore enzyme kinetics, reaction rates, and substrate interactions in a dynamic XR environment.
Conduct virtual experiments to design proteins with specific characteristics, such as increased stability or altered activity.
Study protein folding mechanisms and understand the impact of misfolding on biochemical functions and stability.

How do virtual labs work?

Enhance students' involvement in science by immersing them in interactive learning scenarios. Create simulations for experiments, provide hands-on training in laboratory techniques, and convey theoretical concepts through captivating visual experiences to improve their overall long-term learning outcomes.

Access web-based simulations that are compatible with laptops, Chromebooks, tablets, and iPads, eliminating the need for software installation.
Incorporate a teacher dashboard for automated grading and monitoring of student progress.
Utilize embedded quizzes to assist students in mastering scientific content.
Comprehensive repository of educational materials, including learning resources, lab reports, videos, theory pages, graphics, and more.

Relevant Course Packages All Course Packages →

Advanced Welding Techniques (Exotic Metals and Alloys)

The Advanced Welding Techniques (Exotic Metals and Alloys) Simulation provides experience in welding high-performance materials like titanium, Inconel, and other exotic alloys. It offers virtual practice in welding materials that require specialized techniques due to their heat sensitivity, oxidation tendencies, and high strength. Students adjust welding settings, gas flow, and filler materials to meet the unique needs of these advanced metals. Feedback is provided on weld quality, material integrity, and the specific welding methods required for working with these materials.

Machining Materials and Tool Selection

Provide hands-on training in selecting and machining various materials, including steel, aluminum, brass, and plastics. Through virtual XR simulations, students will match materials with the correct cutting tools based on hardness, toughness, and machinability. They will practice adjusting cutting parameters, like speed, feed rates, and depth of cut, ensuring optimal performance and longevity of tools in real-time machining scenarios. This immersive experience will help students understand material behavior and improve machining efficiency in both manual and CNC operations.

Mechatronic Systems Troubleshooting Simulation

Provide students with XR-based scenarios to diagnose and troubleshoot common issues in mechatronic systems, including electrical, mechanical, and software faults. Using virtual diagnostic tools like multimeters, oscilloscopes, and logic analyzers, students will identify and resolve system faults such as sensor failures, PLC logic errors, and mechanical misalignments. Real-time feedback will help refine troubleshooting approaches and improve problem-solving efficiency in an immersive XR environment.

Product Lifecycle Management (PLM)

This XR simulation teaches students about the comprehensive processes involved in managing a product's lifecycle, from initial conception through design, development, production, and eventual retirement. Virtual tools allow students to coordinate product design, development, production, and sustainability, integrating CAD, CAM, and data management into the development cycle. Students will interact with real-world scenarios to optimize project timelines, resource allocation, and overall product lifecycle efficiency. Feedback is provided on their decisions related to production costs, environmental impact, and product sustainability.

Advanced Semiconductor Materials Simulation

Experience the properties, applications, and challenges of advanced semiconductor materials like Gallium Nitride (GaN) and Silicon Carbide (SiC) through immersive XR simulations, enabling hands-on understanding of cutting-edge materials.

Finite Element Analysis (FEA) Simulation

Train students to perform stress, strain, and deformation analysis on mechanical components using Finite Element Analysis (FEA) through immersive XR simulations. The virtual environment allows students to apply loads, constraints, and boundary conditions to 3D models of mechanical components, providing interactive lessons on stress distribution, thermal effects, vibration analysis, and material failure points. Feedback is provided on the structural integrity, safety factors, and optimization of mechanical designs to improve understanding and decision-making in engineering design processes.

LMS Integration

imaginX seamlessly integrates with leading LMS (Learning Management Systems), enabling educators to track student performance and allowing students to maintain their work records. It is compatible with popular platforms such as Canvas, Blackboard, Moodle, Google Classroom, Schoology, Sakai, Brightspace/D2L, and can also be used independently of an LMS.