[Bohrium Research Space Station] AI-Powered Literature Search and One-Stop Research Tools

Overview

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Bohrium Research Space Station is reshaping academic search. It combines Deep Thinking (R1) and a research-oriented ChatGPT-4o engine with CARSI authentication and a photon billing system, giving researchers natural-language dialogue and multimodal search across text, charts, PDFs, and molecular structures.

The platform covers about 160 million papers, 160 million patents, and 20 million scholar profiles. With intelligent ranking and recommendations, it can capture emerging research topics quickly. Peking University also launched the “Science Navigation” AI research platform campus-wide in May 2025, which shows the practical momentum behind this type of research platform.

AI search modes

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Author note: R1’s chain-style reasoning and long-context behavior fit my habits better, while 4o remains strong for multilingual polishing and creative writing.

Bohrium versus Google Scholar

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Example workflows

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For a quick overview of recent smart-factory progress, choose Deep Thinking (R1) and ask: “Summarize the main smart-factory breakthroughs since 2024 and list the key papers.” Within a short time, Bohrium can return a structured summary, charts, citations, and links to originals.

For more targeted reference retrieval, ask Bohrium to search abstracts and introductions for sentences conceptually closest to your argument sentence, rank the top 10 papers by semantic similarity, and return titles, authors, journals, year, impact factor, citations, matched sentences, and bilingual translations. If the returned sentence looks like a summary rather than a direct quote, open the paper detail page and ask the built-in AI whether the article contains a passage with the same meaning.

Photon resources

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• Daily check-in: CARSI login can grant 300 photons/day.
• Invite friends: both users receive 1000 photons.
• Competitions and events: AI4S Cup and research challenges provide additional photons.
• Mutual 1000-photon link

Subscriptions, knowledge bases, notebooks, courses, and apps

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Bohrium can subscribe to journals, keywords, or scholars and push updates when new work appears. Its research-asset management combines papers, patents, notes, tags, and batch AI Q&A. The Knowledge Base supports Markdown, LaTeX, Python, R, and Matlab interactive execution; AI assistants can explain and rewrite code; and Bohrium HPC resources support cloud-based reproduction of molecular dynamics or quantum-chemistry experiments.

Notebooks share the same runtime environment, support public or private team publication, and include version control and diff views. The ecosystem also includes more than 60 free courses and over 200 research apps covering paper search, journal ranking, molarity calculation, experimental design, and more.

Summary

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• Bohrium = search + workflow: AI retrieval, knowledge base, notebooks, apps, and HPC in one platform.
• Complementary models: DeepSeek-R1 is strong at reasoning and long context; GPT-4o is strong at multilingual and creative work.
• Better retrieval experience: natural-language and multimodal input produce actionable and source-linked answers.
• Flexible photon system: check-ins, invites, and events provide credits; R1 is free and 4o is higher-performance.
• Rich ecosystem: subscriptions, asset management, courses, and apps cover much more than basic literature search.

Screenshots and media

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Preserved command, configuration, and prompt blocks

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请在以下句子 “{你的核心观点句子}” 的基础上，按步骤执行：
1. 在所有英文期刊论文的**摘要**和**引言**中检索，与该句子在概念层面最相似的完整句子或片段；结果必须来源于摘要/引言，可包含非连贯片段，优先检索 SCI 索引期刊及高影响因子刊物；
2. 按语义相似度降序排序，返回前 10 篇最相关论文，并标注：标题、作者、期刊名称、发表年份、影响因子、被引次数及相似度得分；
3. 输出每篇论文中最匹配的原句及其**中英文对照翻译**；
4. 为每篇文献提供可点击的引用格式与数字标号，方便在右侧参考文献列表中直接访问全文。