We provide cutting-edge machine-learning algorithms tailored to the unique needs of materials research and quality control. ScienceDesk has a broad network of experts in areas including spectroscopy, microscopy, and synthesis. This helps us better understand the challenges you face and propose effective solutions tailored to your specific needs.
Application Fields | Reasons for AI | AI Technology |
Material Characterization | Improve Material Characterization | Clusterization, Classification, Image Recognition |
Bench Tests | Optimize Experimental Parameters | Category Learning, Relationship Learning |
Synthesis | Plan Synthetic Routes | Machine Learning, Predictive Inference |
Simulation & Prediction | Accelerate Simulations and Predict new Material Properties | Machine Learning, General Identification |
Use Case – Correlative Microscopy
ScienceDesk has created a new AI algorithm that powers the automatic correlation between topographic and materials information measured by scanning tunnelling microscopy (SEM) and atomic force microscopy (AFM). Our edge-computing solutions are ready to be embedded into your devices.
AI Development Process
Plan
AI Awareness
Process
- Initial AI briefing
- Identify your key challenges
- Review the opportunities
Outcome
- Awareness of the value of AI
Define
Define your AI Use cases
Process
- Dive into your objectives
- Engage with R&D teams
- Gather supporting data
Outcome
- Define your use case and prepare for project
Kick-start
Define AI Model and Prototype
Process
- Build a proof of concept
- Provide supporting resources
Outcome
- Kick-start your AI journey, gaining initial value
Build
Operationalize AI with ScienceDesk Data Automation
Process
- ScienceDesk implements the AI Solution
Outcome
- ScienceDesk provides support and improvements
Run
Advance your AI journey
Process
- We continue to refine your AI solutions
Outcome
- Achieve continuous improvement and increase business value
Technology Landscape
Docker
Kurbernets
PostgreSQL
Redis
Socket.io
Elastic Search
Django
Flask
GraphQL
Angular 2+
React
Flutter