Cooling theme

geothermal ates

One of 50 themes found in 20,416 EGU water abstracts (2024 to 2026). Its most distinctive words are below — they are what separates this body of work from the rest of the corpus.

geothermalatesht-atesboreholeminescoal

217

abstracts in this theme

1.1% of the water corpus · 46 of 50 by size

4.1%

use machine learning

9.1 points below the 13.2% corpus average

-0.51

points of share, 2024 to 2026

43 of 50 by trend

#33

of 50 for AI penetration

mid-pack on AI adoption

How to read this theme

This theme holds 217 of the 20,416 water abstracts, making it the 46th-largest of the 50 themes. Between 2024 and 2026 it lost 0.51 points of share.

4.1% of its abstracts were flagged as using machine learning, 9.1 points below the 13.2% corpus average. AI adoption here sits close to the corpus norm.

This theme is one of the 3 that is losing share of water research over the three years.

Find data for this theme

Search the directory for datasets matching this theme's defining terms.

geothermal ates ht-ates borehole mines coal

Semantically nearest themes

Themes that sit closest to this one on the semantic map — the work that reads most like it.

fracture porous

fracture, porous, pore, permeability, solute, fractures

289 abstracts · 4% use AI · +0.23 pp

fluids calcite

fluids, calcite, rocks, carbonate, mantle, minerals

349 abstracts · 0% use AI · +0.16 pp

microplastics mps

microplastics, mps, microplastic, plastic, plastics, polymer

150 abstracts · 2% use AI · -0.16 pp

pfas sorption

pfas, sorption, adsorption, metal, metals, wastewater

428 abstracts · 1% use AI · -0.70 pp

fault faults

fault, faults, tectonic, mantle, geothermal, fracture

357 abstracts · 1% use AI · +0.02 pp

Themes are clusters found by grouping abstracts on their sentence embeddings, so their boundaries are statistical rather than official EGU categories. "Uses AI" comes from a keyword detector validated at precision 0.95 and recall 0.9. Point estimates carry roughly half a point to a point of uncertainty from the clustering. Full method on the main trends page.