Skip to content
Research Post
Microsoft Research AI · Research Sources

Improving synthesis prediction of small molecules at scale with RetroChimera.

By Felix Pultar, John Gardner, Guoqing Liu, Marwin Segler

Published 21 Sept 2026

AI brief

A new Nature paper highlights RetroChimera, a predictive model from Microsoft Research that helps accelerate chemical synthesis of custom-made small molecules.

Why it matters: Producing custom molecules is slow and expensive, and the model aims to help researchers explore a wider range of molecules.

Written by AI from Microsoft Research AI's published text. Read the original for full details.

From the publisher

Custom-made molecules are advancing medicine, materials, and agriculture, but producing them is slow and expensive. A new Nature paper highlights RetroChimera, a predictive model that helps accelerate chemical synthesis, helping researchers explore a wide range of molecules. The post Improving synthesis prediction of small molecules at scale with RetroChimera appeared first on Microsoft Research .

Research SourcesRetrievalMicrosoft Research AI
Read original post ↗

More on Retrieval

  1. Training Foundation Models with a Single Algorithm
    Hugging Face Papers · 29 Oct 2026
  2. Working with academic communities to build scientific understanding
    OpenAI Research · 26 Oct 2026
  3. On the SPOT: Enhancing Speculative Decoding for Diffusion Language Models via Commit-Order Prediction
    Hugging Face Papers · 26 Oct 2026
  4. ThinkBit: Search Codewords, Recalibrate Scales, Select by Reasoning
    Hugging Face Papers · 26 Oct 2026
← Back to Research