This guide will help you start using ThinkMaterial to accelerate your materials research and development process. Follow these steps to set up your account, configure your first project, and begin exploring the platform's capabilities.

1. Account Setup

Creating Your Account

1. Visit turingai.cc/signup
2. Select the appropriate subscription tier for your needs
3. Complete the registration form with your details
4. Verify your email address via the confirmation link
5. Set up your password and security preferences

Completing Your Profile

For the best experience, complete your profile with relevant information:

1. Navigate to Settings → Profile from the top-right menu
2. Add your professional details and research interests
3. Connect your ORCID or other research identifiers (optional)
4. Set your notification preferences
5. Configure time zone and display preferences

Adding Team Members (Professional & Enterprise Plans)

If you're on a team plan:

1. Go to Settings → Team Management
2. Click Add Team Member
3. Enter email addresses for your colleagues
4. Assign appropriate roles and permissions
5. Team members will receive invitation emails with setup instructions

2. Creating Your First Project

Projects in ThinkMaterial organize your research activities and collaborations.

Project Setup

1. From the dashboard, click Create New Project
2. Enter a descriptive project name and optional description
3. Select a project type:
   • Material Discovery: For finding new materials with target properties
   • Material Optimization: For improving existing materials
   • Process Development: For optimizing synthesis or processing
   • Literature Research: For knowledge mining and analysis
4. Choose relevant material categories (e.g., battery materials, polymers, catalysts)
5. Set project privacy settings (private, team, or organization)
6. Click Create Project

Defining Research Objectives

Clear objectives help ThinkMaterial's AI systems focus on your specific needs:

1. In your new project, navigate to the Objectives tab
2. Click Add Objective
3. Define target properties with desired values and acceptable ranges
4. Set relative importance for multiple objectives
5. Add constraints (e.g., exclude toxic elements, cost limits)
6. Save your objectives

Importing Initial Data (Optional)

If you have existing data to start with:

1. Go to the Data tab within your project
2. Select Import Data
3. Choose the appropriate import method:
   • Upload files (CSV, JSON, specific material formats)
   • Connect to external data source
   • Manual entry for small datasets
4. Map your data fields to ThinkMaterial's schema
5. Validate and complete the import

3. Exploring the Knowledge System

ThinkMaterial's knowledge system helps you explore existing materials science knowledge.

Conducting Your First Search

1. From your project, go to the Knowledge tab
2. Enter search terms related to your research area
3. Use filters to narrow results by:
   • Material class
   • Property ranges
   • Publication date
   • Data source type
4. Review search results showing materials, properties, and relationships
5. Save interesting results to your project

Exploring Material Details

To dive deeper into specific materials:

1. Click on any material in your search results
2. Explore the comprehensive material profile:
   • Composition and structure
   • Reported properties with uncertainty ranges
   • Synthesis methods and conditions
   • Related materials and applications
   • Literature references
3. Save materials of interest to your project collection

Visualizing Knowledge Relationships

Understand connections within materials science knowledge:

1. From the Knowledge tab, select Knowledge Graph
2. Choose visualization parameters:
   • Central concepts or materials
   • Relationship types to display
   • Visualization depth
3. Interact with the graph to explore relationships
4. Identify promising research directions and connections
5. Save visualizations to your project

4. Making Predictions

Use ThinkMaterial's prediction capabilities to estimate properties and identify promising candidates.

Property Prediction

1. From your project, go to the Prediction tab
2. Select New Prediction
3. Choose the prediction type:
   • Structure to Property: Predict properties from material structure
   • Composition to Property: Predict properties from elemental composition
   • Process to Structure: Predict structure from processing conditions
4. Enter or import material descriptions
5. Select properties to predict
6. Configure prediction settings:
   • Desired confidence level
   • Similar materials to compare
   • Model selection (if available)
7. Run the prediction
8. Review results with uncertainty quantification
9. Save promising predictions to your project

Candidate Generation

To discover new material candidates:

1. From the Prediction tab, select Generate Candidates
2. Input your design constraints and target properties
3. Configure generation parameters:
   • Number of candidates to generate
   • Diversity settings
   • Manufacturability constraints
4. Start the generation process
5. Review candidates with predicted properties
6. Select promising candidates for experimental verification

Inverse Design

To find materials meeting specific property targets:

1. From the Prediction tab, select Inverse Design
2. Define target property values with acceptable ranges
3. Set additional constraints (elements, cost, etc.)
4. Configure search parameters
5. Run the inverse design process
6. Review suggested materials with confidence levels
7. Save promising materials to your experimental plan

5. Designing Experiments

Use ThinkMaterial's experimental design capabilities to maximize research efficiency.

Creating an Experimental Plan

1. From your project, go to the Experiments tab
2. Select New Experimental Plan
3. Choose the experiment type:
   • Material synthesis
   • Property characterization
   • Process optimization
4. Define your experimental objectives
5. Specify available resources and constraints:
   • Equipment availability
   • Material quantities
   • Time limitations
6. Set optimization preferences:
   • Information gain priority
   • Batch size requirements
   • Parallelization options
7. Generate the experimental plan
8. Review and adjust the suggested experiments
9. Finalize your plan

Executing Experiments

Track your experimental work within the platform:

1. From the Experiments tab, select your active plan
2. Mark experiments as in-progress when you begin work
3. Record results as they become available:
   • Enter measured values
   • Upload supporting files (images, spectra, etc.)
   • Note observations and conditions
4. The system will automatically update predictions and recommendations
5. Continue with the suggested next experiments
6. Adjust the plan as needed based on emerging results

Analyzing Results

Make sense of your experimental findings:

1. From the Experiments tab, go to Analysis
2. Select experiments to include in analysis
3. Choose visualization and analysis methods:
   • Property correlation plots
   • Process-structure-property relationships
   • Statistical analysis
   • Uncertainty quantification
4. Generate and review analysis
5. Draw conclusions and plan next steps
6. Save insights to your project knowledge base

6. Collaboration Features

Leverage ThinkMaterial's collaboration capabilities to enhance team research.

Sharing Project Results

1. From your project, go to Sharing
2. Select specific content to share:
   • Entire project
   • Specific experiments or predictions
   • Analysis results
   • Knowledge collections
3. Choose sharing settings:
   • Team members only
   • Organization-wide
   • Specific external collaborators
4. Set permission levels (view, comment, edit)
5. Send invitations with optional message

Collaborative Analysis

Work together on interpreting results:

1. Open any shareable item in your project
2. Click Collaborative Analysis
3. Invite team members to the session
4. Use shared visualization and annotation tools
5. Discuss via integrated chat or video
6. Save the collaborative session outcomes

Project Reporting

Generate comprehensive reports on your work:

1. From your project, select Reports
2. Choose report type:
   • Progress summary
   • Experimental results
   • Prediction accuracy
   • Resource utilization
3. Configure report content and format
4. Generate and download the report
5. Share with stakeholders as needed

7. Integration with External Systems

Connect ThinkMaterial with your existing research infrastructure.

Laboratory Integration

1. Go to Settings → Integrations
2. Select Laboratory Systems
3. Choose your LIMS or ELN system from the list
4. Enter connection details and authentication
5. Test the connection
6. Configure synchronization settings
7. Begin data exchange between systems

Instrument Connection

For direct instrument data import:

1. From Settings → Integrations, select Instruments
2. Choose your instrument type and model
3. Configure connection parameters
4. Test data acquisition
5. Set up automated data import
6. Map data fields to ThinkMaterial schema

API Access

For programmatic access to ThinkMaterial:

1. Go to Settings → API Access
2. Generate an API key
3. Set appropriate permissions
4. Copy API documentation link
5. Implement in your custom tools or scripts

Next Steps

After completing this quickstart guide, explore these additional resources:

• In-Depth Tutorials - Comprehensive guides for specific workflows
• API Documentation - Details for advanced integration
• Knowledge Base - Answers to common questions
• Use Cases - Real-world applications and success stories
• Community Forum - Connect with other ThinkMaterial users

Remember that our support team is always available to help with any questions or challenges you encounter in your materials innovation journey.

Ready to accelerate your materials research? Sign up for ThinkMaterial today