Resonac Selects Enthought’s Materials Informatics Acceleration Program to Expand Machine Learning Pipeline, Cultivate Broader Culture Change
Partnership will strengthen existing team of materials informatics experts, provide tailored computational solutions to spur continuous growth
Austin, TX – February 8, 2023 – Enthought, a company powering digital transformation for science, today announced that Japanese chemicals supplier Resonac (formerly Showa Denko), has selected its Materials Informatics (MI) Acceleration Program to expand the internal digital R&D capabilities that will allow them to continuously develop new chemicals and materials.
On January 1, 2023, Showa Denko K.K. (SDK) and Showa Denko Materials (SDMC, former Hitachi Chemical Company, Ltd.) merged to become a holding company named Resonac Holdings Corporation and a manufacturing company named Resonac Corporation (Resonac). As a result of the integration, Resonac now has a combination of former SDK’s petrochemicals, graphite electrodes and basic chemicals businesses, as well as former SDMC’s semiconductor and electronic materials business. Its newly defined purpose is to change society through the power of chemistry, and become a global leader in specialty chemicals manufacturing.
As global chemical companies face increasing competitive pressure, materials informatics has emerged as a dependable paradigm for dramatically accelerating discovery and innovation via data science. Enthought’s MI Acceleration Program offers a holistic approach to building knowledge and intuition with data, ultimately enabling powerhouses like Resonac to make better, more efficient decisions in the lab to compete in specialty markets and bring innovative new products to market faster.
“We have long been impressed by Enthought’s approach to digital innovation, and their world-class expertise in materials informatics,” said Yoshishige Okuno, Head of Research Center for Computational Science and Informatics at Resonac. “By merging education, analytics and software engineering, Enthought’s unique approach to solving scientific challenges enables us to differentiate ourselves and build immediately valuable solutions as a result, and be all the more experienced and capable going forward.”
“At Resonac, we understand the transformational impact of materials informatics, and have been growing our capabilities and expanding our toolsets in this arena. Enthought is the right partner to take us to the next level and bring our computational solutions into product development across the company,” continued Shimpei Takemoto, Head of AI Analysis Group.
Prior to enlisting Enthought for support, Resonac had been working to expand their existing machine learning pipeline and build their computational science and technology team. Through Enthought’s guided partnership, Resonac will:
- Continue to build and deepen its in-house MI capabilities
- Establish new MI solutions that will improve product development and efficiency
- Utilize Enthought Edge for data management and analysis and to deploy custom applications
- Identify and cultivate future digital R&D leaders
- Gain ongoing access to Enthought’s team of skilled scientists and engineers in order to catalyze broader digital culture change
“Resonac has spent years laying the foundation for a robust MI and technology team, and we are deeply impressed by the expertise they already possess. We look forward to working alongside their team to inject new ways of thinking and develop approaches to augment their existing capabilities and drive company-wide growth,” said Chris Farrow, Vice President of Materials Science Solutions at Enthought.
To learn more about Enthought’s unique Materials Informatics Acceleration Program, visit here. To learn more about data management with Enthought Edge, visit here.
Enthought, Inc. powers digital transformation for science. Enthought’s technology and deep scientific expertise enable faster discovery and continuous innovation, building a digitally enabled workforce and arming them with analytics-ready scientific data to be catalysts of value creation in science and business. Enthought specializes in transforming organizations in the electronic, semiconductor, materials design, manufacturing, pharmaceutical, biotechnology, energy and consumer goods markets. Enthought is headquartered in Austin, Texas, with additional offices in Houston, Texas; Cambridge, United Kingdom; Zürich, Switzerland; and Tokyo, Japan. For more information visit enthought.com, or follow on LinkedIn and Twitter.
Lauren Force, (617) 502-4366
Making the Most of Small Data in Scientific R&D
March 9, 2023|Life Sciences, Materials Science, Transformation Making the Most of Small Data in Scientific R&D For many traditional innovation-driven organizations, scientific data is generated…
ChatGPT on Software Engineering
Recently, I’ve been working on a new course offering in Enthought Academy titled Software Engineering for Scientists and Engineers course. I’ve focused on distilling the…
What’s in a __name__?
if __name__ == “__main__”: When I was new to Python, I ran into a mysterious block of code that looked something like: def main(): …
Why Python? Of all of the questions that I have been asked as the instructor of an Enthought Python course, this has been one of…
3 Trends for Scientists To Watch in 2023
As a company that delivers Digital Transformation for Science, part of our job at Enthought is to understand the trends that will affect how our…
Accelerating Science: the Classical Mechanics Perspective
When thinking about enhancing R&D processes, Newton’s second law of motion provides the perfect framework. Classical mechanics teaches us that putting a body into motion…
Retuning the Heavens: Machine Learning and Ancient Astronomy
What can we learn about machine learning from ancient astronomy? When thinking about Machine Learning it is easy to be model-centric and get caught up…
Announcing Enthought Academy
Dear Students and Friends of Enthought, I am pleased to announce Enthought Academy—the culmination of over twenty years of teaching Scientific Python. Since our founding…
Extracting Target Labels from Deep Learning Classification Models
In the blog post Configuring a Neural Network Output Layer we highlighted how to correctly set up an output layer for deep learning models. Here,…
True DX in the Pharma R&D Lab Defined by Enthought
Enthought’s team in Japan exhibited at the Pharma IT & Digital Health Expo 2022 life sciences conference in Tokyo, to meet with pharmaceutical industry leaders…