Cloud-based service simulates atomistic behavior of undiscovered materials up to 20 million times faster than conventional method
TOKYO–(BUSINESS WIRE)–
Preferred Computational Chemistry (PFCC), a joint venture between Preferred Networks, Inc. (PFN) and ENEOS Corporation (ENEOS), has launched Matlantis™, a cloud-based, high-speed universal atomistic simulator for artificial intelligence (AI)-driven materials discovery, for companies and organizations in the […].
When it comes to materials discovery, researchers often face the challenge of limited resources and time-consuming processes. However, with the recent launch of Matlantis™ by PFCC, a cloud-based service, the game is about to change. This innovative platform utilizes high-speed universal atomistic simulation powered by artificial intelligence to accelerate the discovery of new materials.
Conventionally, simulating the atomistic behavior of undiscovered materials can be a time-consuming and resource-intensive process. Researchers would often have to rely on slow and inefficient methods to predict the properties of materials. However, with Matlantis™, this process is revolutionized, allowing for simulations to be performed up to 20 million times faster than traditional methods.
By leveraging the power of cloud computing and AI-driven technology, Matlantis™ has the potential to reshape the landscape of materials discovery. Companies and organizations can now access this cutting-edge platform to expedite their research and development efforts, leading to faster innovation and breakthroughs in various industries.
How will this affect me?
As a consumer, the impact of Matlantis™ and similar technologies may not be immediately obvious. However, the accelerated pace of materials discovery enabled by these tools can eventually lead to the development of new products and technologies that could enhance various aspects of your daily life. From more efficient energy sources to advanced electronics, the possibilities are endless.
How will this affect the world?
On a global scale, the implications of cloud-based atomistic simulation services like Matlantis™ are profound. By speeding up the process of materials discovery, researchers can tackle pressing challenges such as climate change, healthcare, and sustainable development more effectively. This technology has the potential to drive innovation and create positive impact across industries and communities worldwide.
Conclusion
With the launch of Matlantis™, the future of materials discovery looks brighter than ever. By harnessing the power of cloud computing and artificial intelligence, researchers can unlock new possibilities and accelerate the pace of innovation. This groundbreaking technology not only benefits individual companies and organizations but also has the potential to shape a more sustainable and prosperous world for all.
