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 ...

A research team from the Institute of Statistical Mathematics and Panasonic Holdings Corporation has developed a machine ...

In standard models, weights, the values that define the internal structure of a model, are often quantized so the models perform well on a wide range of machines. Quantizing the weights lowers the ...

Scientists have discovered a rare form of one-dimensional quantum magnetism in a metallic compound called Ti4MnBi2, marking a ...

Abstract: This letter presents a robust multiple-model (MM) estimator based on variable structure multiple Gaussian importance filtering (VSMGIF) with spatiotemporal primal-dual projection. In VSMGIF, ...

However, the improvement in these methods’ accuracy is frequently achieved at the cost of more intricate model architectures ... We propose the Fuss-Free Structure, a simple and efficient architecture ...

These molecules move through the ER’s elaborate structure, and Koslover ... Scott eventually devised a model to describe this continuous reconfiguration. This research, published recently in ...

It weighs 13.6 times more than water in equal volumes, and materials like iron and lead can float on its ... They are called 'heavy' because of their atomic number and mass number. In their atomic ...

7767517 3 3 Input input 0 1 data 0=4 1=4 2=1 InnerProduct ip 1 1 data fc 0=10 1=1 2=80 Softmax softmax 1 1 fc prob 0=0 ...