Nature

Enhancing synthesis prediction via machine learning

Identifying promising synthesis targets and designing routes to their synthesis is a grand challenge in chemistry and materials science. Recent work employing machine learning in combination with ...
Nature

Computationally accelerated experimental materials characterization—drawing inspiration from high-throughput simulation workflows

Computational materials science increasingly benefits from data management, automation, and algorithm-based decision-making for the simulation of material properties and behavior. Experimental ...
National Academies of Sciences%2c Engineering%2c and Medicine

Computational and Theoretical Techniques for Materials Science

Unfortunately, this book can't be printed from the OpenBook. Visit NAP.edu/10766 to get more information about this book, to buy it in print, or to download it as a free PDF.
Phys.org

Machine learning speeds up prediction of materials' spectral properties

Many techniques in computational materials science require scientists to identify the right set of parameters that capture the physics of the specific material they are studying. Calculating these ...
Phys.org

Enhancing machine-learning interatomic potentials for advanced materials modeling

Machine learning is transforming many scientific fields, including computational materials science. For about two decades, scientists have been using it to make accurate yet inexpensive calculations ...
MIT Technology Review

The race to find new materials with AI needs more data. Meta is giving massive amounts away for free.

Open Materials 2024 will be one of the biggest data sets available for materials science. Meta is releasing a massive data set and models, called Open Materials 2024, that could help scientists use AI ...
mccormick.northwestern.edu

New Computational Approach Speeds Design of Functionally Graded Materials

The team developed a computational framework using robotic path planning algorithms to rapidly identify optimal composition gradients between dissimilar materials. The framework enables the creation ...
Informationsdienst Wissenschaft

Humboldt Research Awards strengthen international collaboration in materials science

The Alexander von Humboldt Foundation has awarded the Humboldt Research Award to Yuri Mishin (George Mason University, USA) and Sang Ho Oh (Korea Institute of Energy Technology, Republic of Korea). • ...
mccormick.northwestern.edu

Wolverton Named Fellow of Materials Research Society

Northwestern Engineering’s Chris Wolverton has been named a fellow of the Materials Research Society for his pioneering work in computational materials science for materials design and discovery, ...
Informationsdienst Wissenschaft

ERC Advanced Grant for Christof Schulz: From Empirical Trial-and-Error to Predictive Materials Synthesis Science

The Research Centre for Future Energy Materials and Systems (RC FEMS) in a video: where researchers are developing new materials for tomorrow's energy techn ...
MIT Technology Review

AI materials discovery now needs to move into the real world

Startups flush with cash are building AI-assisted laboratories to find materials far faster and more cheaply, but are still waiting for their ChatGPT moment. The microwave-size instrument at Lila ...