The importance of purposeful work
The best missions don’t just provide lip service to pipe dreams, they add purpose to the work employees are pushing toward on a daily basis.
Five High-Impact Research Areas in Machine Learning for Materials Science
Over the past several years, the field of materials informatics has grown dramatically. Applications of machine learning (ML) and artificial intelligence (AI) to materials science are now commonplace. As...
Single-Crystal Automated Refinement (SCAR): A Data-Driven Method for Determining Inorganic Structures
Single-crystal diffraction is one of the most common experimental techniques in chemistry for determining a crystal structure. However, the process of crystal structure determination and refinement is not always...
Data‐driven glass/ceramic science research: Insights from the glass and ceramic and data science/informatics communities
Data‐driven science and technology have helped achieve meaningful technological advancements in areas such as materials/drug discovery and health care, but efforts to apply high‐end data science algorithms to the...
Machine Learning in Materials Discovery: Confirmed Predictions and Their Underlying Approaches
The rapidly growing interest in machine learning (ML) for materials discovery has resulted in a large body of published work. However, only a small fraction of these publications includes...
Machine-Learning Guided Quantum Chemical and Molecular Dynamics Calculations to Design Novel Hole-Conducting Organic Materials
Materials exhibiting higher mobilities than conventional organic semiconducting materials such as fullerenes and fused thiophenes are in high demand for applications such as printed electronics, organic solar cells, and...
Expanded dataset of mechanical properties and observed phases of multi-principal element alloys
This data article presents a compilation of mechanical properties of 630 multi-principal element alloys (MPEAs). Built upon recently published MPEA databases, this article includes updated records from previous reviews (with...
Accelerating electrochemical material discovery for sustainable chemical manufacturing
New electrochemical reactions are needed to reduce the carbon footprint of chemical production. Use AI to find new catalysts.
Mitigating Supply Chain Disruptions in the Materials and Chemicals Industry
How an AI-empowered workflow enables the agility needed to respond to supply chain issues.
Using AI and Smart Data Management to Accelerate Innovation and Optimize Product Development of Adhesives & Sealants
In this webinar, participants will learn how the Citrine Platform combines AI and smart data management to accelerate research and development and improve customer responsiveness.