Generating electricity by moving a droplet of ionic liquid along graphene
Atlas use: this paper is cited as evidence by 4 claims and 0 named pathways. Bibliographic record verified against Crossref on 2026-09-19.
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Atlas context
Derived from the citing claims only: the families, matrix cells and routes those claims take part in.
D = disequilibrium row · C = coupling family column. A cell reads the state of the atlas for that pair.
- Droplet-based electricity generatorcomposition evidence recorded
- Thermal-osmosis electrokinetic generatorcomposition evidence recorded
- Surface energy difference → Droplet contact electrification → Separated surface charge → Electrical work3/3 established
- Bulk fluid flow → Streaming potential → Ionic current → Electrical work3/3 established
- Thermocapillary streaming-potential generator (proposed)5/5 established
- Temperature gradient → Marangoni effect → Fluid flow → Streaming potential → Ionic current → Electrical work4/5 established
- Temperature gradient → Thermomagnetic convection → Fluid flow → Streaming potential → Ionic current → Electrical work5/5 established
- Solutocapillary streaming-potential generator (proposed)5/5 established
- Surface energy difference → Marangoni effect → Fluid flow → Streaming potential → Ionic current → Electrical work4/5 established
- Gravitational potential difference → Gravitational descent of fluid → Bulk fluid flow → Streaming potential → Ionic current → Electrical work5/5 established
- Gravitational potential difference → Tidal flow → Bulk fluid flow → Streaming potential → Ionic current → Electrical work5/5 established
- Chemical potential difference → Combustion → Temperature gradient → Marangoni effect → Fluid flow → Streaming potential → Ionic current → Electrical work7/7 established
first 12 of 41 routes shown
Claims citing this source · 4
Cite this source
Physical Transformation Atlas (2026). source source:yin-2014-graphene-flow: Generating electricity by moving a droplet of ionic liquid along graphene. Dataset revision rbfbfcbb70e57 (hash of the canonical data). https://physical-transformation-atlas.wldud5192.workers.dev/source/yin-2014-graphene-flow
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