NIMS and its collaborators have developed a model designed to predict the long-term durability of a range of heat-resistant steel materials by performing machine learning while preserving the ...

Density functional theory is a widely used computer-based quantum mechanical method for calculating properties of atoms, ...

Researchers developed a two-stage ML model to predict coating degradation by linking environmental factors to physical ...

Machine learning (ML) is transforming protein structure prediction. Algorithms can predict ... ⁴ Developed by DeepMind, AlphaFold is a deep learning model that has demonstrated accuracy in ...

Banerjee of UCLA to develop the new machine learning model through research conducted by Ghosh's group at Michigan Tech and Banerjee's at UCLA. The results, titled "Electronic Structure Prediction of ...

A research team led by Prof. Wan Yinhua from the Institute of Process Engineering (IPE) of the Chinese Academy of Sciences ...

Kirsten Hilger and colleagues used machine learning models to predict ... captures both types of intelligence. The prediction performance of the model developed by Hilger and colleagues was ...

The article broadly covers the integration of deep learning ... prediction, which marks this marks a new era of protein structure prediction. 3. Multimodal prediction: The latest AlphaFold 3 model ...