A team of researchers has successfully predicted abnormal grain growth in simulated polycrystalline materials for the first time -- a development that could lead to the creation of stronger, more ...

A research group has developed an innovative machine learning technology that enables predictions beyond the distribution of ...

An international team of researchers has developed a new method for parameterizing machine-learning interatomic potentials (MLIP) to simulate magnetic materials, making the prediction of their ...

Hyderabad: A team of 30 scientists from the prestigious Indian Institute of Science (IISc) has proposed to develop the ...

Currently, semiconductor manufacturing is dominated by silicon-based technologies, led by advanced nations such as the US, ...

MXene, a nanomaterial used in battery technology and as a high-performance lubricant, was previously difficult and hazardous ...

A team led by UChicago Pritzker Molecular Engineering has discovered materials that defy convention, shrinking when heated ...

According to the researchers, the platform can achieve wafer-scale integration of all the devices required to build an ...

The project has been under discussion with the government since 2021. Globally, many countries are investing huge sums of ...

Led by Professor Cécile Chazot, the summit advanced MICRO’s mission to support students from schools without dedicated ...

As part of a long-term research collaboration, battery researchers from the University of Chicago Pritzker School of ...