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Who proposed the nuclear structure model?

Rutherford proposed a nuclear structure model.

Ernest Rutherford (August 30, 1871 - October 19, 1937) was born in Nelson, New Zealand. He graduated from the University of New Zealand and was a physicist and chemist. In 1895, he won a scholarship from Cambridge University in England and entered the Cavendish Laboratory. He proposed a planetary model of atomic structure and made a great contribution to the study of atomic structure.

In 1989, he served as professor of physics at McGill University in Canada. In 1907, he served as Chairman of the Department of Physics at the University of Manchester. In 1908, he won the Nobel Prize in Chemistry for "chemical studies on the transformation of elements and radioactive substances." In 1919, he became director of the Cavendish Laboratory. In 1925, he was elected president of the Royal Society.

In 1931, he was created Baron Nelson. On October 19, 1937, he died in Cambridge due to illness at the age of 66. In 1898, on the recommendation of Thomson, he served as a physics professor at McGill University in Canada. He stayed there for 9 years. He returned to England in 1907 and served as head of the physics department at the University of Manchester.

Rutherford's famous quotations:

It's like you were hit by a rebounding cannonball. It vividly describes the difficulties encountered by Thomson's model, that is, atoms cannot be balls with a uniform mass distribution of 1 angstrom. Scientific research, apart from physics, is stamp collecting.

In Rutherford's time, only physics had formed a rigorous system and theoretical framework, while other sciences such as biology were still in the stage of classification and speculation to a large extent.

Social science can only get: some can, others cannot. That is to say, social science is considered descriptive and categorical. Don't let me see anyone talking about the universe in our (physics) department.

If your experimental results require a statistician, then you need to redesign an experiment. A good experiment should be clear and clear. However, the data obtained from today's large-scale experiments requires not only statisticians, but also the help of large computers.