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Xiaoming Mao

Xiaoming Mao is a physics topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Xiaoming Mao rather than just read about it. In short: Xiaoming Mao (born 1980) is a Chinese and American physicist whose research concerns soft matter and biological physics, including topological order in the mechanics of metamaterials, self-assembly, jamming and the glass transition, and the fiber network mechanics of polymers and biopolymers. She is a professor of physics at the University of Michigan.

Key takeaways

  • Xiaoming Mao belongs to physics; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect Xiaoming Mao to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Xiaoming Mao from memory before moving on to harder problems.

Reference excerpt

Xiaoming Mao (born 1980) is a Chinese and American physicist whose research concerns soft matter and biological physics, including topological order in the mechanics of metamaterials, self-assembly, jamming and the glass transition, and the fiber network mechanics of polymers and biopolymers. She is a professor of physics at the University of Michigan.

Education and career Mao was born in 1980 in Xi'an, and has a 2002 bachelor's degree in physics from Peking University, with a minor in economics. She went to the University of Illinois Urbana-Champaign for graduate study in physics, receiving a master's degree in 2004 and completing her Ph.D. in 2008. Her dissertation, Statistical Physics of Soft Random Solids: Vulcanization, Heterogeneity, and Elasticity, was supervised by Paul Goldbart. After postdoctoral study from 2008 to 2012 at the University of Pennsylvania, she joined the University of Michigan in 2012 as an assistant professor. She was promoted to associate professor in 2019 and full professor in 2023.

Recognition Mao was named as a Fellow of the American Physical Society (APS) in 2025, after a nomination from the APS Division of Soft Matter, "for fundamental contributions in understanding marginal stability, disorder, fluctuations, and self-assembly in complex soft matter, as well as fundamental theories and experimental realizations of topological mechanical metamaterials".

References

External links Home page Xiaoming Mao publications indexed by Google Scholar

Worked examples

Example 1 — a first encounter with Xiaoming Mao

Start with the simplest possible case. Write down what Xiaoming Mao claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In physics, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Xiaoming Mao before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Xiaoming Mao ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Xiaoming Mao

In research
Xiaoming Mao appears in physics research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses Xiaoming Mao in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
Xiaoming Mao is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1980 births, 21st-century Chinese physicists, American physicists, so understanding it makes those chapters shorter.
In everyday life
Look for Xiaoming Mao outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.
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How to study Xiaoming Mao in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Xiaoming Mao means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain Xiaoming Mao out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Xiaoming Mao in simple terms?

Xiaoming Mao (born 1980) is a Chinese and American physicist whose research concerns soft matter and biological physics, including topological order in the mechanics of metamaterials, self-assembly, jamming and the glass transition, and the fiber network mechanics of polymers and biopolymers. She i…

Why does Xiaoming Mao matter?

Because it connects several physics ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Xiaoming Mao?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Xiaoming Mao.

Tags

  • 1980 births
  • 21st-century Chinese physicists
  • American physicists
  • American women physicists
  • Chinese emigrants to the United States
  • Chinese women physicists
  • Fellows of the American Physical Society
  • Living people
  • Peking University alumni
  • People from Xi'an
  • University of Illinois Urbana-Champaign alumni
  • University of Michigan faculty

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