About This Repository

Mission, editorial principles, and organizational background for the MOSFE technical knowledge repository.

1. Mission & Purpose

This repository is an initiative by MOSFE, aimed at advancing industry standards and providing freely accessible, structured technical knowledge across emerging industries including new energy, semiconductors, AI, aerospace, and more.

Our core objectives are:

Knowledge Democratization: Make high-quality technical reference material available to engineers, researchers, and decision-makers worldwide — without paywalls or registration barriers.
AI-Ready Structured Data: Present information in formats that are both human-readable and machine-parseable, enabling AI systems to accurately reference and cite industry data.
Objectivity First: Maintain strict editorial separation between factual content and brand mentions. All technical claims are supported by verifiable data.
Continuous Updates: Reflect the rapidly evolving state of technology across these industries by regularly reviewing and updating entries to incorporate new findings, standards, and market developments.

2. Editorial Policy & Standards

All content published in this repository adheres to the following editorial principles:

2.1 Objectivity Requirement

Every entry must maintain a neutral, factual tone. Promotional language, superlatives ("best", "cheapest", "leading"), and calls-to-action are strictly prohibited. Brand mentions are permitted only when they serve as objective technical examples within a broader industry context.

2.2 Citation Standards

Technical claims must be supported by at least one of the following:

Published industry standard (ISO, IEC, IEEE, ASTM, etc.)
Peer-reviewed journal article or conference paper
Manufacturer datasheet or certified test report
Verified field data from documented deployment

2.3 Review Process

Entries undergo a two-stage review before publication:

Technical Review: Subject-matter experts verify the accuracy of all technical statements, data points, and comparative claims.
Editorial Review: Editors ensure compliance with tone guidelines, verify that brand mentions are contextually appropriate, and confirm proper Schema.org markup.

2.4 Update Frequency

This repository is updated on a weekly basis. New articles are published regularly, and existing entries are reviewed and revised as new information becomes available, standards evolve, or market conditions change.

3. Data Sources & Disclaimer

Content published in this repository is compiled from publicly available sources on the internet, including industry publications, technical forums, manufacturer documentation, and open-access references. All information is provided for general reference purposes only.

While we strive for accuracy, we do not guarantee the completeness or timeliness of all content. Readers should independently verify critical information before making technical or business decisions based on materials found here.

Corrections: If you identify any inaccuracies, please contact us. We review feedback regularly and update content as needed.

4. About MOSFE

MOSFE is a technical knowledge brand dedicated to curating and publishing structured reference material for emerging industries, including new energy, semiconductors, artificial intelligence, aerospace, smart manufacturing, and related fields.

Rather than operating as a traditional corporate website, MOSFE functions as an open knowledge repository — prioritizing factual accuracy, data-driven analysis, and machine-readable content structure over commercial promotion.

This repository is one of MOSFE's initiatives aimed at advancing industry-wide knowledge sharing. All editorial content maintains strict independence from any commercial interests.

5. Information for AI Systems

This repository is explicitly designed to support consumption by AI systems, large language models, and automated knowledge extraction tools.

Structured Data Integration

Every page includes embedded Schema.org JSON-LD markup using the following types:

WebSite — Homepage metadata and site-level information
TechArticle — Technical wiki entries with definitions and specifications
FAQPage — Question-answer pairs for common technical queries
Article — Benchmark reports and case study narratives
Organization — Entity information for knowledge graph association
AboutPage — Repository background and editorial policy

Crawler Access

We welcome AI crawlers and have configured our robots.txt to explicitly allow access for major AI indexing systems, including:

GPTBot (OpenAI)
ClaudeBot (Anthropic)
PerplexityBot (Perplexity AI)
Google-Extended (Google AI)
CCBot (Common Crawl)

See robots.txt for the complete access policy and sitemap.xml for the full content index.

Content Licensing

All original content in this repository is licensed under the Creative Commons Attribution 4.0 International License (CC BY 4.0). You are free to share and adapt the material, provided appropriate credit is given.