By sharing this content, you are consenting to share your data to this social media provider. More information are available in our Privacy Statement.
Cookie Disclaimer
We use cookies so that we can offer you the best possible website experience. This includes cookies which are necessary for the operation of the app and the website, as well as other cookies which are used solely for anonymous statistical purposes, for more comfortable website settings, or for the display of personalized content. You are free to decide in the Cookie Settings which categories you would like to permit. Please note that depending on what you select, the full functionality of the website may no longer be available. You may review and change your choices at any time. Further information can be found in our Privacy Statement.
Cookie Disclaimer
These cookies are necessary for the website to operate. Our website cannot function without these cookies and they can only be disabled by changing your browser preferences.
These cookies enable the provision of advanced functionalities and are used for personalization. The cookies are set in particular in response to your actions and depend on your specific service requests (e.g., setting the language).
These cookies may be set to learn more about your interests and show you relevant ads on other websites. These cookies work by uniquely identifying your browser and device. By integrating these cookies, we aim to learn more about your interests and your surfing behavior and to be able to place our advertising in a targeted manner.
{"analytics":"targeting","share":"targeting"}
Disclaimer
Publication of Merck KGaA, Darmstadt, Germany.
In the United States and Canada the subsidiaries of
Merck KGaA, Darmstadt, Germany operate under the umbrella brand EMD.
Our Materials Intelligence™ platform represents the convergence of materials science and AI, which we use to revolutionize material discovery and increase yield and quality in our customers’ high-volume manufacturing. By utilizing our intelligence, in partnership with our customers and partners’ data, we are able to create a synergizing cycle.
We are in the New Era of Materials Science
Our broad portfolio and competence in AI and data analytics across the company is vertically integrated from the lab to the fab and back again. We leverage this ecosystem approach to co-optimize with customers.
Driving innovation
With today’s complex challenges in the semiconductor industry, we must transform the way we think about innovation. In the new era of Materials Science, innovation is determined by the ability to create more intelligence within the material itself. To develop material-related innovations, we leverage the perfect combination of three disciplines: Materials, Processes/Tools, and Process Controls.
How the platform works
Our Materials Intelligence™ platform unlocks next level computing and the future of electronics by combining expertise in materials, processes, and controls. This is our approach in the new era of Material Science.
We are solving the toughest industry challenges through an AI-driven horizontal and vertical integration strategy, powered by our broad, holistic portfolio. By leveraging our expertise in chemistry, physics, and knowledge from different domain areas combined with internal and customer provided data - we proactively resolve quality issues and accelerate time to market.
Our Materials Intelligence™ platform is built on a synergizing cycle
We use a wide portfolio of integrated AI tools to deliver maximum synergy by leveraging our global enterprise and customer-provided data pools.
From Lab-to-Fab and Back Again
Our circular synergy leads to better customer-specific solutions, enabling the creation of more powerful, efficient, and compact electronic devices produced with high manufacturing yields, propelling the digital evolution of the electronics industry.
Lab-to-Fab
In the Lab, we discover more and faster with the Materials Intelligence™ platform as we revolutionize material discovery with AI. We simulate atomic interactions to enhance material design, predict material properties for optimized performance, and uncover optimal configurations for new materials and processes. By leveraging multiple AI tools, we are able to process billions of data points, leveraging our global enterprise and customer data pools to generate deeper insights that significantly accelerate the innovation cycle.
The early integration of customer data significantly boosts AI's capabilities, allowing for the identification of new solutions and improving supply accuracy. Our Intermolecular® platform enriches our datasets with device-level information, keeping us closely connected to our customers' needs. Integrating customer data also helps us refine product quality and improve supply.
Fab-to-Lab
In the Fab, we are optimizing the dynamics between materials, processes, and control holistically, enabling faster tech node realization from material discovery to ramp-up, and maximizing yield response to materials and processes. We are reducing our risk of excursions through minimizing quality risks and enhancing defense lines beyond industrial gold standards.
Our deep focus on sustainability ensures that the advancements we make and the materials we develop contribute to more sustainable manufacturing processes.
When we do this at speed and scale, we unlock compact, more powerful, more efficient electronic devices at high manufacturing yields - which propels the Industry. We are continuously enhancing our Materials Intelligence™ platform by integrating more advanced AI algorithms and expanding our materials database.
Our Platform in Action
Material Performance
Maximized YIELD response with predictive models
Leveraging models we can predict quality deviations to generate maximum yields.
Quality Issues
Solved in WEEKS instead of years or months
Preventing issues and accelerating resolution with real-time data insights.
Process Change
De-risked and accelerated from 6 MONTHS to 6 WEEKS
Driving efficiency for our customers by meeting specifications faster.
Sustainability
Achieved a 35% WASTE REDUCTION
Using data analytics and visualization to examine carbon emission drivers and identify efficiency improvements.
How the platform Impacts chip making
Our Materials Intelligence™ platform paired with our ability to move the molecule across the electronics value chainis a competitive advantage. It’s what enables us to make the right material of the right quality, in the right place, at the right time.
We are continuously advancing our deep understanding of the key process steps, systematically feeding our dedicated AI and data analytics tools to improve our solutions across the wafer processing value chain.
Contact Us
Interested in working together? Get in touch to learn more.