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Nuclear Materials and Properties

Nuclear Materials and Properties is a research topic within Materials Chemistry. Science Explorer counts 55k research works in it since 1950. 20.3% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the development and properties of advanced materials for nuclear fuel, including accident tolerant fuels, fuel cladding, thermophysical properties, oxidation resistance, behavior under high temperature and irradiation, hydrogen embrittlement, and fission product release.

  • Accident Tolerant Fuels
  • Fuel Cladding
  • Thermophysical Properties
  • Oxidation Resistance
  • Actinide Oxides
  • High Temperature Behavior
  • Density Functional Theory
  • Irradiation Performance
  • Hydrogen Embrittlement
  • Fission Product Release
Research works
55k
fractional, since 1950
In the world top 10%
11k
per year above
Top-10% rate
20.3%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
+13%
the tick is no change

Which countries lead Nuclear Materials and Properties research?

By volume, China and the United States publish the most (2.6k and 1.3k works in 2022–2025).

By volume, 2022–2025

  1. 1 China 2.6k works
  2. 2 United States 1.3k works
  3. 3 Russia 506 works
  4. 4 Japan 431 works
  5. 5 India 339 works
  6. 6 France 336 works
  7. 7 Germany 273 works
  8. 8 South Korea 245 works
  9. 9 United Kingdom 220 works
  10. 10 Canada 118 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.

China: 40.5%United States: 20.9%Russia: 7.9%Japan: 6.7%6 others listed: 24.0%40%largest
China2,587 · 40.5%United States1,339 · 20.9%Russia506 · 7.9%Japan431 · 6.7%6 others listed1,532 · 24.0%

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

Which institutions lead Nuclear Materials and Properties research?

By volume in 2022–2025, Idaho National Laboratory publishes the most Nuclear Materials and Properties research, followed by Xi'an Jiaotong University and Oak Ridge National Laboratory.

Who are the leading researchers in Nuclear Materials and Properties?

The most-cited researchers publishing on Nuclear Materials and Properties include Y. Arai and Dierk Raabe.

  1. 1 Y. Arai Japan 6k citations
  2. 2 Dierk Raabe Germany 4.5k citations

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

Where is Nuclear Materials and Properties research done?

The largest centres of Nuclear Materials and Properties research in 2022–2025 are Beijing (China), Xi'an (China), Moscow (Russia) and Shanghai (China). Among places with at least 20 works in it, it is an unusually large share of all research in Deep River, Saint-Paul-lès-Durance and Idaho Falls.

Largest cities, 2022–2025

  1. 1 Beijing China 634 works
  2. 2 Xi'an China 255 works
  3. 3 Moscow Russia 254 works
  4. 4 Shanghai China 203 works
  5. 5 Idaho Falls United States 175 works
  6. 6 Oak Ridge United States 145 works
  7. 7 Chengdu China 141 works
  8. 8 Mumbai India 127 works
  9. 9 Shenzhen China 117 works
  10. 10 Tokyo Japan 114 works

Where it is the local speciality

  1. Deep RiverCA · 23.1 works277×
  2. Saint-Paul-lès-DuranceFR · 25.8 works196×
  3. Idaho FallsUS · 175.2 works183×
  4. Tōkai MuraJP · 98.7 works160×
  5. KurchatovKZ · 21.2 works133×
  6. KālpākkamIN · 39.1 works124×
← less than its size predictsmore →

Location quotient: how much more of its research is in Nuclear Materials and Properties than the world average.

See Nuclear Materials and Properties on the map

Where is the best place to study Nuclear Materials and Properties?

Among universities, judged by research, Xi'an Jiaotong University, Ulsan National Institute of Science and Technology and National Research Nuclear University MEPhI 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%60%mean 27.45%fractional works in this node (log) →share in the world top 10% →Xi'an Jiaotong University: 161, 30.6%Ulsan National Institute of Science and Technology: 12, 33.9%National Research Nuclear University MEPhI: 44, 12.9%University of Dhaka: 12, 51.8%North China Electric Power University: 41, 35.0%Shanghai Jiao Tong University: 85, 38.7%Homi Bhabha National Institute: 48, 6.6%University of Science and Technology of China: 58, 19.6%Harbin Engineering University: 56, 23.4%University of Tennessee at Knoxville: 32, 22.0%University of DhakaUlsan National Insti…Xi'an Jiaotong Unive…National Research Nu…
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
1 Xi'an Jiaotong UniversityChina 76.030.6%13.3×161 +147.0%
2 Ulsan National Institute of Science and TechnologySouth Korea 63.133.9%10.8×12 +156.6%
3 National Research Nuclear University MEPhIRussia 60.112.9%47.6×44 +283.7%
4 University of DhakaBangladesh 57.951.8%6.8×12
5 North China Electric Power UniversityChina 57.435.0%8.2×41 +42.0%
6 Shanghai Jiao Tong UniversityChina 57.338.7%5.3×85 +32.6%
7 Homi Bhabha National InstituteIndia 57.06.6%30.5×48 +1548.0%
8 University of Science and Technology of ChinaChina 56.719.6%6.4×58 +287.7%
9 Harbin Engineering UniversityChina 56.723.4%14.4×56 +21.0%
10 University of Tennessee at KnoxvilleUnited States 56.622.0%10.7×32 +72.6%

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 Nuclear Materials and Properties research growing?

Output in 2018–2022 was 13% higher than in 2013–2017, peaking in 2023. The fastest-growing topics are Nuclear Materials and Properties.

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.