Tokyo scientists discover a new method for studying the properties of materials

Scientists noted that if the properties of materials can be reliably predicted, then the development process

new products for a huge range of industriesindustry will become faster and easier. In the study, they used nuclear loss spectroscopy to determine the properties of organic molecules using machine learning.

Structural spectroscopy methods are needed fordetermining information about electrons and, therefore, atoms in materials. They have high sensitivity and resolution and are used to study materials in dozens of areas: from electronic devices to drug delivery systems.

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But scientists do not know if there is a connection betweenspectral data and material properties such as optical properties, electronic conductivity, density and stability. However, the new model has been trained to correctly predict the vast properties of materials, such as molecular weight and internal energy.

“The new method is very useful for developingmaterials, because it can reveal where, when and how certain properties arise, "said study author Teruyasu Mizoguchi," such as internal energy and molecular weight. "

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