---
title: "Newly published in Optica from Microsoft Research: a first-of-its-kind materials-screening framework..."
source_name: "Microsoft Research(@MSFTResearch)"
original_url: "https://x.com/MSFTResearch/status/2042665726058614952"
canonical_url: "https://www.traeai.com/articles/2e88c588-770d-493d-a237-691cfad1b0f0"
content_type: "tweet"
language: "英文"
score: 5.5
tags: ["材料科学","数据存储","飞秒激光","Microsoft Research","Optica"]
published_at: "2026-04-10T18:07:14+00:00"
created_at: "2026-04-19T13:46:28.821881+00:00"
---

# Newly published in Optica from Microsoft Research: a first-of-its-kind materials-screening framework...

Canonical URL: https://www.traeai.com/articles/2e88c588-770d-493d-a237-691cfad1b0f0
Original source: https://x.com/MSFTResearch/status/2042665726058614952

## Summary

微软研究院在《Optica》发表新论文，提出首个用于玻璃数据存储的材料筛选框架，识别飞秒激光写入性能的关键材料属性。

## Key Takeaways

- 提出首个面向玻璃存储的材料筛选框架
- 识别出影响飞秒激光写入性能的内在材料特性
- 研究发表于光学顶刊《Optica》，具学术前沿性

## Content

Title: Microsoft Research on X: "Newly published in Optica from Microsoft Research: a first-of-its-kind materials-screening framework for glass-based data storage, identifying which intrinsic material properties actually drive performance in femtosecond laser writing. https://t.co/bCIOZ1gCCD https://t.co/pqwtcHAZnY" / X

URL Source: http://x.com/MSFTResearch/status/2042665726058614952

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Newly published in Optica from Microsoft Research: a first-of-its-kind materials-screening framework for glass-based data storage, identifying which intrinsic material properties actually drive performance in femtosecond laser writing. [msft.it/6014QfbFo](https://t.co/bCIOZ1gCCD)

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