AIARD

Research / T4

Interdisciplinary knowledge discovery

The answer often lives in another discipline.

Measuring interdisciplinarity in scientific articles and linking engineering problems to knowledge from biology, physics or materials science.

Doctoral work in the team has built deep-learning models that estimate how interdisciplinary an article is, and large topic graphs that reveal thematic links between engineering and biology. FusionMind turns this into a tool that looks for solutions in distant fields.

Demonstrators

FusionMind

DemonstratorMembers

Look for the solution to an engineering problem in other scientific disciplines.

PhD thesis of Nicolas Douard (2025)

PHYSISOLVE

OperationalMembers

Identify a problem quickly and concentrate on solving it.

Maturation project led by Pei Zhang as a postdoctoral researcher (PhD thesis 2019)

Related publications

All publications