---
title: "Materials Science — papers"
description: "Materials Science: 4 papers of the Elamur Research library, the most cited first — our summary of each, its ideas, references and who cites it."
canonical: "https://research.elamur.ai/free/en/shelves/materials-science/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/shelves/materials-science/)

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# 🧱 Materials Science

4 papers · the most cited first · [all shelves](https://md.research.elamur.ai/free/en/shelves/)

Materials, their structure and properties: metals, polymers, ceramics, nanomaterials.

## Subfields

The sub-shelves of Materials Science, the most papers first, with the two OpenAlex topics most of their papers here are on.

1. [**Materials Chemistry**Machine Learning in Materials Science · Enzyme Structure and Function*4 papers*](https://md.research.elamur.ai/free/en/shelves/materials-science/materials-chemistry/)

## Papers

1. [**Highly accurate protein structure prediction with AlphaFold**John Jumper, Richard Evans, Alexander Pritzel, et al.*2021 · 43,470 citations*](https://md.research.elamur.ai/free/en/papers/jumper-2021-highly-accurate-protein-structure-prediction/)
2. [**Neural Message Passing for Quantum Chemistry**Justin Gilmer, Samuel S. Schoenholz, Patrick F. Riley, et al.*2017 · 3,699 citations*](https://md.research.elamur.ai/free/en/papers/gilmer-2017-neural-message-passing-quantum-chemistry/)
3. [**Autonomous chemical research with large language models**Daniil A. Boiko, Robert MacKnight, Ben Kline, et al.*2023 · 1,122 citations*](https://md.research.elamur.ai/free/en/papers/boiko-2023-autonomous-chemical-research-large-language/)
4. [**The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search**Yutaro Yamada, Robert Tjarko Lange, Cong Lu, et al.*2025 · 121 citations*](https://md.research.elamur.ai/free/en/papers/yamada-2025-ai-scientist-v2-workshop/)

Updated 23 October 2026

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