BOMP is Your Partner in Sustainable and Cost-Effective Material Optimization
Join the Revolution in Material Optimization with BOMP: Fast, Cost-Effective, and Sustainable Solutions Powered by Advanced AI and Machine Learning.
BOMP is a Research to Business project founded by Aalto University Applied Physics Department and Business Finland.
The BOMP (Bayesian Optimization for Material Properties) project was founded by Professor Mikko Alava and his dedicated research group at Aalto University’s Department of Applied Physics. Driven by a passion for innovation and a vision for the future of material science, Professor Alava and his team embarked on a journey to revolutionize how material properties are optimized.
The team recognized a growing need in the industry for fast, reliable, and cost-effective optimization algorithms. Traditional methods relied heavily on trial and error and costly consultants, often making material optimization inaccessible to many manufacturers. Determined to fill this gap, the research group focused on developing a tool that could leverage AI and ML to optimize material properties quickly and efficiently. This led to the creation of the BOMP framework – Bayesian Optimization for Material Properties.
The BOMP framework combines advanced Bayesian probabilistic reasoning with practical applications in material science, offering a powerful solution for exploring and optimizing complex variables in the materials industry. BOMP is an invaluable tool, helping researchers identify optimal material compositions and processing parameters with remarkable speed and accuracy.
In 2024, with support from Business Finland and Aalto University, the team launched the BOMP-R2B (Research to Business) project. The goal is to transform BOMP into a user-friendly, distributable software package that could be used by industries of all sizes, from small startups to large manufacturing companies.
Today, BOMP stands as a testament to the power of innovation and collaboration. By combining cutting-edge AI technology with a deep understanding of material science, BOMP empowers companies to optimize their material properties, reduce costs, and achieve their sustainability goals. Join us on this exciting journey and discover how BOMP can revolutionize your material optimization processes.
The team recognized a growing need in the industry for fast, reliable, and cost-effective optimization algorithms. Traditional methods relied heavily on trial and error and costly consultants, often making material optimization inaccessible to many manufacturers. Determined to fill this gap, the research group focused on developing a tool that could leverage AI and ML to optimize material properties quickly and efficiently. This led to the creation of the BOMP framework – Bayesian Optimization for Material Properties.
The BOMP framework combines advanced Bayesian probabilistic reasoning with practical applications in material science, offering a powerful solution for exploring and optimizing complex variables in the materials industry. BOMP is an invaluable tool, helping researchers identify optimal material compositions and processing parameters with remarkable speed and accuracy.
In 2024, with support from Business Finland and Aalto University, the team launched the BOMP-R2B (Research to Business) project. The goal is to transform BOMP into a user-friendly, distributable software package that could be used by industries of all sizes, from small startups to large manufacturing companies.
Today, BOMP stands as a testament to the power of innovation and collaboration. By combining cutting-edge AI technology with a deep understanding of material science, BOMP empowers companies to optimize their material properties, reduce costs, and achieve their sustainability goals. Join us on this exciting journey and discover how BOMP can revolutionize your material optimization processes.
Innovative Solutions Tailored to Your Needs
Streamline Your Processes with Our Advanced Features
- AI-Driven OptimizationAdvanced Bayesian Algorithms: Harness the power of cutting-edge AI to explore complex variable interactions and optimize material properties with precision.
Real-Time Analysis and Feedback: Receive instant insights and adjustments, ensuring continuous improvement and efficient decision-making.
Multi-Objective Optimization: Balance multiple goals, such as strength, cost, and environmental impact, to achieve the best possible outcomes. - User-Friendly InterfaceIntuitive Design: Navigate effortlessly through our easy-to-use interface, designed for users of all technical backgrounds.
Customizable Parameters: Tailor the optimization process to your specific needs and constraints, ensuring relevant and actionable results.
Visual Data Representation: Understand complex data through clear and concise visualizations, aiding in quick and informed decision-making. - Scalable and Adaptable SolutionsLaboratory to Industrial Scale: Utilize BOMP’s capabilities across various scales, from small research labs to large industrial applications.
Versatile Applications: Optimize a wide range of materials and processes, including recycled and side-stream materials, for diverse industry needs.
Continuous Improvement: Leverage BOMP’s learning algorithms to adapt and evolve, keeping your material optimization efforts at the forefront of innovation.
How It Works
1
Define Your Optimization Goals
Input your specific material property targets, such as strength, cost, or environmental impact.
Customize parameters according to your unique requirements and constraints.
Set your desired outcomes, whether it's discovering new materials, optimizing existing ones, or improving production processes.
2
Leverage AI-Powered Optimization
Utilize BOMP’s advanced Bayesian optimization algorithms to explore and analyze multiple variables.
BOMP efficiently identifies optimal measurement points and extreme values, guiding you toward the best solutions.
Benefit from real-time adjustments and feedback, ensuring continuous improvement and precision.
3
Achieve Superior Results
Receive actionable insights and recommendations for optimal material compositions and processing parameters.
Implement BOMP’s suggestions to enhance material properties, reduce costs, and minimize environmental impact.
Monitor and refine your processes with BOMP’s intuitive interface, driving ongoing innovation and efficiency.
How Our Technology Works in a Simple Words
Imagine you have a big box of LEGO bricks, and you want to build the coolest, strongest castle ever. But there are so many bricks to choose from, and you don't know which ones will make the best castle.
Here's how our technology helps:
Here's how our technology helps:
- 1Tell Us What You WantYou tell us what kind of castle you want to build. Maybe you want it to be very tall, super strong, or made with fewer bricks.
- 2Smart HelperWe have a smart helper, like a magic robot, that knows a lot about LEGO bricks. This robot can look at all the bricks you have and figure out the best way to use them to build your castle.
- 3Build Your CastleThe robot gives you the best plan. It tells you which bricks to use and where to put them. You follow the plan, and soon you have the coolest, strongest castle just the way you wanted!
So, our technology is like having a magic robot that helps you build the best LEGO castle by telling you exactly how to use your bricks. It makes everything easier, faster, and cost effective.
Meet Our Team
The smartest people work every day to provide the best service and make our clients happy
- Mikko AlavaResearch TeamProfessor at Aalto University for 11 years, more than 200 published articles; more than 40 in high impact journals.
- Isaac MirandaResearch TeamMSc in Chemical Engineering. Background in material selection, engineering, and optimization.
- Juha KoivistoResearch TeamResearch fellow with PhD in Applied Physics. Expert in Machine Learning oriented to Materials Discovery.
- Alan MeshCommercialization TeamSenior Business Developer with Lean Startup Launch and Entrepreneurial Mindset. Founder of multiple IT start-ups. Silicon Valley and from Zero to One experience.
- Markus HolmströmCommercialization TeamSenior Business Developer. 10+ years of experience as a business and commercial advisor in Tech and Innovation.
- Pamela NguiCommercialization TeamMSc in Creative Sustainability. Jr. Business Developer.
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