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Towards the digitalisation of porous energy materials: evolution of digital approaches for microstructural design

doi: 10.1039/d1ee00398d
handle: 10044/1/89069
The digital transformation empowered by artificial intelligence will create huge opportunities for the porous energy materials research community.
- University of Hong Kong China (People's Republic of)
- University of Hong Kong China (People's Republic of)
- Tianjin University China (People's Republic of)
- Loughborough University United Kingdom
- Tianjin University China (People's Republic of)
Technology, Engineering, Chemical, Multidisciplinary, Science & Technology, Energy, Energy & Fuels, Chemistry, Multidisciplinary, Chemical, Environmental Sciences & Ecology, 620, 510, Chemistry, Engineering, Physical Sciences, Life Sciences & Biomedicine, Environmental Sciences
Technology, Engineering, Chemical, Multidisciplinary, Science & Technology, Energy, Energy & Fuels, Chemistry, Multidisciplinary, Chemical, Environmental Sciences & Ecology, 620, 510, Chemistry, Engineering, Physical Sciences, Life Sciences & Biomedicine, Environmental Sciences
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).39 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 1% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 1%
