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Material Dynamics and Properties

Material Dynamics and Properties is a research topic within Materials Chemistry. Science Explorer counts 48k research works in it since 1950. 21.0% of them reached the world's top 10% most cited for their field and year.

This cluster of papers explores the dynamics and transitions in glassy materials, including supercooled liquids, colloidal suspensions, polymer films, and the phenomena of structural relaxation, jamming transition, dynamic heterogeneities, and liquid-liquid phase transition. It delves into the rheology and behavior of soft materials, as well as the properties of amorphous solids.

  • Glass Transition
  • Supercooled Liquids
  • Colloidal Suspensions
  • Structural Relaxation
  • Jamming Transition
  • Polymer Films
  • Dynamic Heterogeneities
  • Liquid-liquid Phase Transition
  • Rheology of Soft Materials
  • Amorphous Solids
Research works
48k
fractional, since 1950
In the world top 10%
10k
per year above
Top-10% rate
21.0%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
-10%
the tick is no change

Which countries lead Material Dynamics and Properties research?

By volume, the United States and China publish the most (564 and 446 works in 2022–2025).

By volume, 2022–2025

  1. 1 United States 564 works
  2. 2 China 446 works
  3. 3 France 239 works
  4. 4 Japan 239 works
  5. 5 Germany 221 works
  6. 6 India 198 works
  7. 7 Russia 171 works
  8. 8 United Kingdom 127 works
  9. 9 Italy 110 works
  10. 10 Spain 83 works

How concentrated that is

The same countries as shares of everything the list above accounts for. A node where two countries do two thirds of the work and one spread evenly across twelve read alike as a ranking and not at all alike here.

United States: 23.5%China: 18.6%France: 10.0%Japan: 10.0%6 others listed: 37.9%24%largest
United States564 · 23.5%China446 · 18.6%France239 · 10.0%Japan239 · 10.0%6 others listed910 · 37.9%

Shares of the rows listed above, not of the whole node.

Which institutions lead Material Dynamics and Properties research?

By volume in 2022–2025, Centre National de la Recherche Scientifique publishes the most Material Dynamics and Properties research, followed by The University of Tokyo and Chinese Academy of Sciences.

By volume, 2022–2025

  1. 1 Centre National de la Recherche Scientifique France 42 works
  2. 2 The University of Tokyo Japan 22 works
  3. 3 Chinese Academy of Sciences China 20 works
  4. 4 University of Cambridge United Kingdom 15 works
  5. 5 Kyoto University Japan 15 works
  6. 6 University of Chinese Academy of Sciences China 13 works
  7. 7 University of Illinois Urbana-Champaign United States 13 works
  8. 8 Princeton University United States 13 works
  9. 9 Oak Ridge National Laboratory United States 13 works
  10. 10 University of Pennsylvania United States 13 works

Who are the leading researchers in Material Dynamics and Properties?

The most-cited researchers publishing on Material Dynamics and Properties include J. Häfner, Steven J. Plimpton and H. P. Beck.

  1. 1 J. Häfner 11k citations
  2. 2 Steven J. Plimpton 10k citations
  3. 3 H. P. Beck 7.5k citations
  4. 4 Michele Parrinello 5.6k citations
  5. 5 H. Eugene Stanley 5.5k citations
  6. 6 Akihisa Inoue 4.7k citations
  7. 7 P. G. de Gennes 4.3k citations
  8. 8 William G. Hoover 4.2k citations

Ranked by citations received across their whole record, among researchers with at least three works on this topic.

Where is Material Dynamics and Properties research done?

The largest centres of Material Dynamics and Properties research in 2022–2025 are Beijing (China), Paris (France), Tokyo (Japan) and Moscow (Russia).

Largest cities, 2022–2025

  1. 1 Beijing China 109 works
  2. 2 Paris France 98 works
  3. 3 Tokyo Japan 64 works
  4. 4 Moscow Russia 60 works
  5. 5 Shanghai China 41 works
  6. 6 London United Kingdom 26 works
  7. 7 Rome Italy 26 works
  8. 8 Bengaluru India 26 works
  9. 9 Warsaw Poland 25 works
  10. 10 Xi'an China 24 works
See Material Dynamics and Properties on the map

Where is the best place to study Material Dynamics and Properties?

Among universities, judged by research, University of Cambridge, Princeton University and Technische Universität Darmstadt score highest, combining excellence, specialisation, size, growth and international reach. Research strength is one signal when choosing where to study; it does not measure teaching.

0%20%40%mean 14.48%fractional works in this node (log) →share in the world top 10% →University of Cambridge: 15, 33.3%Princeton University: 13, 20.4%Technische Universität Darmstadt: 10, 18.8%Eindhoven University of Technology: 13, 9.5%Roskilde University: 12, 12.7%Université Paris-Saclay: 8, 13.3%University of Chinese Academy of Sciences: 13, 17.9%The University of Tokyo: 22, 11.1%Nagoya University: 10, 4.6%Ural Federal University: 10, 3.2%University of Cambri…Princeton UniversityTechnische Universit…Eindhoven University…
above the meannear itbelow it

One dot per university in the table below. The upper left is the interesting corner: small places doing unusually strong work.

#UniversityScoreTop 10%SpecialisationWorksGrowth
1University of Cambridge United Kingdom 60.133.3%4.8×15 +36.4%
2Princeton University United States 55.320.4%10.3×13 -18.2%
3Technische Universität Darmstadt Germany 52.218.8%10.4×10 +15.2%
4Eindhoven University of Technology Netherlands 49.39.5%12.0×13 +5.7%
5Roskilde University Denmark 45.812.7%33.4×12 -11.1%
6Université Paris-Saclay France 43.913.3%7.3×8
7University of Chinese Academy of Sciences China 42.817.9%2.7×13 +307.5%
8The University of Tokyo Japan 42.011.1%6.1×22 +6.5%
9Nagoya University Japan 41.14.6%7.2×10 +233.1%
10Ural Federal University Russia 40.63.2%12.1×10 +65.2%

Universities only. Score blends excellence (30%), specialisation (25%), size (20%), growth (15%) and international reach (10%), 2015–2022; growth compares 2010–14 with 2015–19.

Is Material Dynamics and Properties research growing?

Output in 2018–2022 was 10% lower than in 2013–2017, peaking in 2007.

19801990200020102020
grewheldshrank

The same series as a ribbon — one cell per year, darker for more. The line above answers how much; this answers when.

Which topics inside it are moving

Growth and decline on one axis around a shared zero. Two lists side by side hide the thing that matters: whether the growth dwarfs the decline, or the other way round.