diff --git a/topics/ai-for-science/index.md b/topics/ai-for-science/index.md
new file mode 100644
index 00000000000..84bccaa5977
--- /dev/null
+++ b/topics/ai-for-science/index.md
@@ -0,0 +1,10 @@
+---
+aliases: ai4science, ml-for-science, artificial-intelligence-for-science
+display_name: AI for science
+related: machine-learning, deep-learning, simulation, bioinformatics, chemistry, physics, data-science, ai
+short_description: AI for science applies machine learning and artificial intelligence to accelerate scientific discovery across disciplines.
+topic: ai-for-science
+---
+AI for science is the application of machine learning and artificial intelligence methods to accelerate research and discovery across scientific domains. It encompasses work in protein structure prediction, climate modeling, drug discovery, materials design, and particle physics, among others.
+
+Rather than replacing traditional scientific methods, AI for science augments them by learning patterns from experimental and simulation data to generate hypotheses, design experiments, and build fast surrogate models. Landmark examples include AlphaFold for protein structure prediction, GraphCast for weather forecasting, and FermiNet for quantum chemistry.