AZoM

AI at Work: How Dorfner is Transforming Materials Innovation

Through AI integration, Dorfner is redefining materials innovation, driving faster, more efficient development across materials.
AZoM

Choosing Between ELN, LIMS, and Materials Informatics for R&D Success

Understand how ELN, LIMS, and Materials Informatics platforms differ and learn the optimal order for implementing them.
TMCnet

Schrödinger Partners with Lilly to Make TuneLab Platform Available in LiveDesign

"As a leader in computational drug discovery, Schrödinger is pleased to partner with Lilly TuneLab," stated Pat Lorton, chief technology officer and chief operating officer, software at Schrödinger.
Scientific Research Publishing

Wang, A.Y., Murdock, R.J., Kauwe, S.K., Oliynyk, A.O., Gurlo, A., Brgoch, J., et al. (2020) Machine Learning for Materials Scientists: An Introductory Guide toward Best ...

ABSTRACT: In the world of Material Informatics (MI), conventional methods involve tremendous laboratory work or extensive simulations that may not yield the expected results. Our objectives are to ...
Scientific Research Publishing

Himanen, L., Geurts, A., Foster, A.S. and Rinke, P. (2019) Data-Driven Materials Science: Status, Challenges, and Perspectives. Advanced Science, 6, Article 1900808.

ABSTRACT: In the world of Material Informatics (MI), conventional methods involve tremendous laboratory work or extensive simulations that may not yield the expected results. Our objectives are to ...
Business Wire

Citrine Informatics Raises $16M in Series C Financing

REDWOOD CITY, Calif.--(BUSINESS WIRE)--Citrine Informatics, the leading provider of artificial intelligence software for materials, chemicals, and manufactured product development, announced the ...
devdiscourse

Polyplastics Expands LAPEROS(R) LCP Series with New High-Performance Materials

Polyplastics Co., Ltd., a leader in engineering thermoplastics, has launched innovative additions to its LAPEROS(R) liquid crystal polymer (LCP) line. Designed to meet the electronics sector's ...
Morningstar

Fixstars Amplify Optimization Cloud Service Surpasses 1,000 Registered Organizations and 100 Million Cumulative Executions

IRVINE, Calif., Dec. 10, 2025 /PRNewswire/ -- Fixstars Corporation (TSE Prime: 3687), a leader in performance engineering, today announced its optimization cloud service, "Fixstars Amplify" (Amplify), ...
Oak Ridge National Lab

A machine learning approach to quantify degradation of nuclear fuels and the effects of fission products

Nuclear fuel performance is critically dependent on understanding the evolution of fuel properties under operational conditions, a complex challenge driven by chemical changes and substantial ...
IEEE

DiMAT Materials Modeler (DiMM): An Interactive Framework for Materials Property Prediction and Optimization Using a Hybrid Machine Learning - Genetic Algorithm Approach

Abstract: We present DiMM (DiMAT Materials Modeler), an interactive framework that advances materials informatics through an effective integration of machine learning (ML) and genetic algorithms (GA).
EurekAlert!

Accelerating materials design with high-throughput experiments and data science

Professor Toshiaki Taniike is pioneering the integration of data science and materials chemistry to accelerate the discovery of advanced materials. His research in materials informatics uses machine ...