📢 无 gap，不研究；无 gap，不发文。找不到研究空白？提交你的专业与方向，挖掘有据可依、可写作的研究缺口。

📢 No gap, no research. No gap, no papers. Stuck finding a gap? Share your field & focus to uncover evidence-backed publishable research gaps.

AI for Gap EN中文 申请试用 →Apply for trial →

AI for Gap · 科学文献智能AI makes identifying gaps easier.

AI for Gap · Scientific Literature IntelligenceAI makes identifying gaps easier.

AI 流水线挖掘真实研究空白
产出可溯源的科研调研交付物

An AI pipeline mines genuine research gaps
and delivers traceable research outputs

千篇 SCI 文献自动挖掘处理，12 Agent 分工，四道质量门控，每条研究缺口均有文献证据支撑，助力开题、基金立项。

Process thousands of SCI papers with 12 specialized Agents and 4-gate quality control. Every research gap is backed by real-world literature — built for thesis proposals and grant applications.

无 gap，不研究；无 gap，不发文。
找不到研究空白？把专业 + 方向发我，帮你挖掘一个有据可依、可写作的 Gap。

No gap, no research. No gap, no papers.
Stuck finding a gap? Send your field + focus — I will help you uncover an evidence-backed gap worth writing.

面向：博士研究生、青年科研教师、企业研发人员、基金申报研究者

For: PhD candidates, academic researchers, industrial R&D teams, grant applicants

  • ✅ 千篇 SCI 文献处理
  • ✅ 12 个专业 Agent 分工
  • ✅ 4 道质量门控校验
  • ✅ 全链路文献溯源，杜绝虚假引用
  • ✅ Process thousands of SCI papers
  • ✅ 12-Agent collaboration
  • ✅ 4-gate quality check
  • ✅ Full literature traceability, no hallucinations
申请试用Apply for Trial 查看真实项目案例View Real-world Projects

进入系统需审核开通 —— System access is granted after review — 先提交申请试用apply for a trial first，我们评估方向后为你开通。, and we will open it once we have reviewed your field.

Why ai4gap

📊 人工调研 vs ai4gap

📊 Manual Research vs ai4gap

同样规模的一次调研，两条路径的时间去向完全不同。

For a study of the same scale, the two paths spend their time very differently.

人工调研

Manual research

阅读、整理、归纳上千篇 SCI，识别研究空白，通常需要数周–数月，大量时间消耗在文献通读与信息整理。

Reading, sorting and summarizing thousands of SCI papers to identify research gaps usually takes weeks to months — most of it spent on reading and re-organising information.

ai4gap 流水线

The ai4gap pipeline

自动化完成文献入库–解析–知识融合–Gap 挖掘–综述生成，输出完整交付包。把你的精力留给实验设计、方案构思与创新论证。

Automates ingestion, parsing, knowledge fusion, gap mining and review generation, and delivers one complete package. Your time goes to experimental design, method building and defending the innovation.

Pipeline

是一条流水线，不是一次检索

It is a pipeline, not a search box

五个阶段串成一条 DAG，每一步都有产物、有门控、有来源。中间任何一步没过门，就不会往下走。

Five stages chained into one DAG. Every step has artifacts, a gate and provenance. If a step does not clear its gate, the run does not move on.

1

海量文献

Literature at scale

近三年 SCI 千篇入库：近一年全量收录，其余按被引降序补齐；元数据、正文、引用关系全部落本地。

1,000 SCI papers from the last three years: full coverage of the most recent year, the rest filled in by citation count. Metadata, full text and citation links all stored locally.

2

解析抽取

Parsing & extraction

PDF 与正文 → 结构化字段（材料 / 性能 / 工艺 / 条件 / 数值事实），每个取值保留来源段落。

PDF and full text → structured fields (materials / properties / processes / conditions / numeric facts), with the source paragraph kept for every value.

3

知识融合

Knowledge fusion

跨文献对齐实体、口径与单位，形成知识图谱与融合矩阵 —— 矩阵里的非空格就是证据密度。

Align entities, definitions and units across papers into a knowledge graph and a fusion matrix — the non-empty cells are your evidence density.

4

Research Gap

Research gaps

按证据强度 × 方法空缺 × 可行性打分排序，产出可辩护的缺口清单，而不是一句「有待研究」。

Scored by evidence strength × methodological void × feasibility, producing a defensible gap list rather than a vague “further study is needed”.

5

生成综述

Review generation

分章成文，每条结论挂回文献与段落；未核验的内容不上页面 —— 零虚假引用。

Written chapter by chapter, every conclusion linked back to a paper and paragraph. Unverified content never reaches the page — zero fabricated citations.

Deliverables

交付什么

What you get

不是一个搜索框，而是一包能直接进报告的产物 —— 每一件都带来源、带版本、带缺口声明。

Not a search box, but a package of artifacts that can go straight into a report — each one with sources, version and gap disclosure.

📚结构化语料库Structured corpus

千篇级文献的元数据、正文与引用关系全部落本地；获取受限的条目在语料门里逐条披露，不假装齐备。

Metadata, full text and citation links for ~1,000 papers stored locally; restricted items are disclosed one by one at the corpus gate — we do not pretend the set is complete.

🕸知识图谱Knowledge graph

材料 / 性能 / 工艺 / 条件四类实体及其关系；每个取值都能回到具体文献，而不是一段无法追溯的摘要。

Four entity types — materials / properties / processes / conditions — and their relations. Every value traces back to a specific paper, not to an untraceable abstract.

🎯Research Gap 清单Research gap list

逐条给出证据强度、方法空缺与优先级，可展开到支撑文献与反例 —— 能被答辩、也能被推翻。

Each entry carries evidence strength, methodological void and priority, expandable to supporting papers and counter-examples — defensible in a viva, and falsifiable.

🔗证据核验Evidence verification

数字回指率 100%：交付物里的每个数字都必须能回到原文锚点，核验角色独立于抽取角色。

100% numeric back-reference rate: every number in the deliverables must return to an anchor in the original text, and the verifier role is independent of the extractor.

📄研究综述 / 报告Research review / report

分章成文，附数据版本与评测口径，可直接进任务书、立项材料或结题报告。

Written by chapter, with the data version and evaluation criteria attached; ready to drop into a proposal, a project application or a final report.

📊评测中心Evaluation centre

抽取与融合的定量评测（字段级 Precision / Recall / F1），口径写在产物里，可复跑、可复现。

Quantitative evaluation of extraction and fusion (field-level Precision / Recall / F1); the criteria ship with the artifacts and can be re-run and reproduced.

注：系统输出为调研底稿，需要科研人员校验改写，不可直接照搬作为最终成文；所有 Gap 均来源于真实 SCI 文献，不编造研究缺口。

Note: Outputs are research drafts for reference. Researchers need to verify and revise them. All gaps are derived from real-world SCI literature — no fabricated gaps.

Fit

哪些方向适合，哪些不适合

Where it fits, and where it does not

先说清边界，比什么都答应更有用 —— 方向不合适我们会直说。

Stating the boundary up front is more useful than promising everything — if your field does not fit, we will say so.

✅ 适合使用

✅ Suitable scenarios

  • 开题报告、硕博论文前期文献调研
  • 基金项目、横向课题立项前期现状梳理
  • 识别领域内真实研究空白，寻找创新切入点
  • 生成可溯源综述底稿，用于内部研判、项目申报
  • Literature review for thesis and dissertation
  • Preliminary status sorting for grants and industrial projects
  • Identifying genuine research gaps for innovation
  • Generating traceable review drafts for project evaluation

❌ 不太适合

❌ Not suitable

  • 几乎没有公开 SCI 文献的全新前沿概念
  • 纯思辨、缺少实验数据的部分人文社科方向
  • 仅需要简单摘要、不做研究缺口挖掘的轻量检索需求
  • Brand-new concepts with few published SCI papers
  • Pure theoretical humanities / social-science topics without experimental data
  • Simple abstract retrieval without gap-mining requirements

提示：申请试用时，我们会评估你的研究方向是否适配。

Note: We will evaluate your research domain upon trial application.

Projects

两个在跑的项目

Two projects running right now

同一套系统、同一条流水线：换一个研究方向，就是换一份语料与一套领域字段。点进去看的是真实产物。

One system, one pipeline: change the research field and you change the corpus and the domain fields. What you click into are real artifacts.

氢能储运装备关键材料

Key materials for hydrogen storage and transport equipment

HydroGen-LitAgent
已交付（T1–T15 · 四道门全过）Delivered (T1–T15 · all four gates passed)
语料Corpus
1000 篇（近三年 SCI）1,000 papers (SCI, last three years)
领域Domains
液氢低温容器材料 · 低温绝热 · 氢用阀门密封 · 储氢合金Liquid-hydrogen cryogenic vessel materials · cryogenic insulation · hydrogen valve sealing · hydrogen storage alloys
产物Outputs
研究综述（7 章 + 3 附录）· 评测报告 · 知识图谱 · 材料数据库Research review (7 chapters + 3 appendices) · evaluation report · knowledge graph · materials database
产出预览（脱敏）Output preview (redacted)
  • Gap 清单片段Gap list excerpt
  • 知识图谱缩略图Knowledge graph thumbnail
  • 综述报告节选Review report excerpt
点击查看完整项目详情 →View the full project →

基于次声波的电梯断轴故障早期诊断技术及其应用

Early fault diagnosis of elevator shaft fracture via infrasound, and its application

ElevInfrasound-LitAgent
文献调研主线收官（T1–T12 · 四门已签发 V1.0）Literature-review track completed (T1–T12 · four gates signed off, V1.0)
语料Corpus
1000 篇（近一年 292 全量 + 被引补足 708）1,000 papers (292 full for the latest year + 708 added by citation count)
主题Topics
八类 T-A…T-H：机理 · 轴系诊断 · 传感采集 · 信号处理 · 传播建模 · 时差定位 · 判据误报 · 标准法规（TSG / GB / ISO）Eight classes T-A…T-H: mechanisms · shaft-system diagnosis · sensing and acquisition · signal processing · propagation modelling · TDOA localisation · criteria and false alarms · standards and regulations (TSG / GB / ISO)
语料门Corpus gate
PDF 齐备率 37.0%（370/1000）· 正文可读率 99.5%（995/1000）PDF availability 37.0% (370/1000) · readable full text 99.5% (995/1000)
产出预览（脱敏）Output preview (redacted)
  • Gap 清单片段Gap list excerpt
  • 知识图谱缩略图Knowledge graph thumbnail
  • 综述报告节选Review report excerpt
点击查看完整项目详情 →View the full project →

以上为真实项目产出示例，不代表所有方向都能达到同等指标，实际结果取决于领域文献基础。

The above are outputs from real projects. Not every field can reach the same metrics — actual results depend on the literature base in your domain.

Trial

申请试用

Apply for a trial

🎯 无 gap，不研究；无 gap，不发文。
找不到研究空白？提交你的专业与研究方向，我们帮你挖掘有据可依、可写作的研究缺口。

🎯 No gap, no research. No gap, no papers.
Stuck finding a gap? Share your field and research focus — we will help you uncover an evidence-backed gap worth writing.

本次试用为真实任务跑测，非演示 Demo。请填写下方表单，我们评估适配性后与你联系。

This trial runs real-world tasks, not demo simulations. Fill in the form below — we will evaluate suitability and get back to you.

当前在跑的方向

Fields currently running

同一套系统、同一条流水线：换一个研究方向，就是换一份语料与一套领域字段。

One system, one pipeline: change the research field and you change the corpus and the domain fields.

  • 材料 · 氢能储运装备（在跑）Materials · hydrogen storage & transport equipment (running)
  • 电梯断轴次声波诊断（在跑）Elevator shaft-fracture infrasound diagnosis (running)
  • 管理科学Management science
  • 药学Pharmaceutical sciences
  • 化学Chemistry
  • 新能源New energy
  • 传统行业Traditional industries

我们会怎么处理

How we handle it

  • 只用你填的联系方式沟通试用事宜，不做别的用途，不转给第三方。
  • 1–3 个工作日邮件回复；方向不合适也会直说，不吊着。
  • 试用产出里核验不过的数字不显示 —— 零虚假引用是硬约束。
  • We only use the contact details you provide to discuss the trial — nothing else, and never shared with third parties.
  • We reply by email within 1–3 business days; if the field does not fit, we say so plainly.
  • Numbers that fail verification are not shown in trial outputs — zero fabricated citations is a hard constraint.

想写清语料范围与期望产出？Want to spell out corpus scope and expected outputs? 填写完整申请 →Fill in the full application →

快速申请

Quick application

四个必填项，30 秒。要补充文献量级与具体问题，走Four required fields, 30 seconds. To add literature scale and specific questions, use the 完整申请full application。.

📝 试用说明

📝 Trial note

  • 本次试用为真实任务跑测，不是演示 Demo。
  • 请填写你的研究方向、关键词、期望文献规模；我们会评估领域适配性，评估通过后开展小规模调研任务。
  • 提交后我们会尽快联系你，同步任务方案与服务相关信息。
  • 你的研究信息仅用于本次试用，严格保密。
  • This is a real-task trial, not a demo.
  • Fill in your research topic, keywords and expected literature scale. We will assess domain fit and run small-scale research tasks if eligible.
  • We will contact you shortly after submission with the task plan and service details.
  • Your research information is strictly confidential and only used for this trial.
直接发邮件Email us directly

在线提交没有成功。Online submission did not go through.

内容还在上面那张表里，没有丢。可以：Your content is still in the form above — nothing is lost. You can:

用邮件发送这份申请Email this application

✅ 申请已提交成功

✅ Application submitted successfully

申请编号：Reference number: —

我们将评估你的研究方向是否适配，一般 1–3 个工作日内与你联系。

We will evaluate whether your research field fits, and normally get back to you within 1–3 business days.

试用为真实小规模任务跑测，非虚拟演示；正式项目方案、成本区间会在沟通中给到。

The trial is a real small-scale task run, not a simulated demo; the formal project plan and cost range come in the follow-up discussion.

你的信息严格保密，请留意邮箱消息。没收到回复可以直接写 [email protected]。

Your information is strictly confidential — please watch your inbox. If you hear nothing back, write to [email protected].

FAQ

常见问题

FAQ

文献来源、规模与语言、知识产权、怎么计费、要不要自己部署、PDF 齐备率、能不能直接写进论文 —— 一次说清。

Literature sources, scale and language, IP ownership, pricing, self-hosting, PDF availability, and whether you can paste the output into a paper — all answered here.

Q1：文献来源是什么？是否需要我机构拥有数据库权限？Q1: What are the literature sources? Do I need institutional database access?

A：平台内置公开可获取的 SCI 文献库；部分深度检索需要对应数据库访问权限，试用阶段会说明具体约束。

A: The platform includes a publicly available SCI library. Some deep-search features require database access, which we clarify during the trial.

Q2：可以自定义文献数量、时间范围吗？Q2: Can I customise literature volume and time range?

A：支持自定义文献规模、时间区间、关键词约束；试用为小规模跑测，正式项目可按需配置。

A: Yes — volume, time window and keyword constraints are configurable. Trials run at small scale; formal projects are configured to your needs.

Q3：交付报告输出是中文还是英文？Q3: What languages are supported for the output?

A：支持中文、英文输出，可根据你的需求选择。

A: Both Chinese and English are available, whichever you need.

Q4：产出调研报告、Gap 清单知识产权归属？Q4: Who owns the research report and the gap list?

A：项目产出所有权归用户；平台仅使用匿名脱敏数据用于模型迭代，不会泄露你的研究方向与私有信息。

A: All project outputs belong to the user. Only anonymised, redacted data is used for model iteration, and your research field and private information are never disclosed.

Q5：试用是完全免费吗？正式服务如何计费？Q5: Is the trial free? How is the formal service priced?

A：试用提供小规模真实任务跑测，非演示 Demo；正式服务采用项目制，根据文献规模、领域复杂度评估成本，提交申请后同步给到服务方案与成本区间。

A: The trial is a real small-scale task run, not a demo. The formal service is project-based: cost is evaluated from literature volume and domain complexity, and the plan plus cost range come after you apply.

Q6：系统需要我自己部署吗？Q6: Do I need to self-host the system?

A：提供 SaaS 在线服务，无需本地部署；同时支持离线私有化部署方案，可联系咨询。

A: SaaS is available, so no local deployment is needed. An offline private deployment is also offered on request — contact us to discuss.

Q7：为什么 PDF 齐备率达不到 100%？Q7: Why is PDF availability not 100%?

A：部分 SCI 文献受版权限制，平台无法获取全文，只能使用摘要信息。系统会在报告中标注文献的获取状态，不使用无全文的文献编造结论。

A: Some SCI papers are copyright-restricted, so only the abstract can be used. The system marks each paper's access status in the report and never fabricates conclusions from papers without full text.

Q8：系统产出可以直接写进论文 / 基金申报书吗？Q8: Can the output go straight into a paper or grant proposal?

A：系统输出为调研底稿、Gap 清单、综述素材，可作为参考依据；最终需要科研人员结合自身判断校验、改写，不可以直接照搬作为最终成文。

A: The output is a research draft, gap list and review material — a reference input. Researchers must verify and revise it with their own judgement before final submission.

Under the hood

技术保障：12 个 Agent 的科研流水线

Under the hood: a research pipeline of 12 Agents

不是「一个模型读完一千篇」。是固定角色的团队、带门控的 DAG，和一份能复现的交付包。

Not “one model reading a thousand papers” — a fixed-role team, a gated DAG, and a delivery package you can reproduce.

1 编排 + 11 执行

1 orchestrator + 11 executors

R1 统筹整条 DAG 并签发门控，R2–R12 各管一段：采集、抽取、融合、Gap、核验、评测、合规、发布。角色固定，可替换可复用。

R1 runs the whole DAG and signs off gates; R2–R12 each own one segment: acquisition, extraction, fusion, gap mining, verification, evaluation, compliance, publishing. Fixed roles, replaceable and reusable.

一条 DAG 跑到头

One DAG, end to end

T1 → T2 → T3 → T4 [G1] → T5 → T6 → T7 → T8 [G2] → T9 → T10 [G3] → T11 [G4] → T12，节点状态与门控裁定全部留痕。

T1 → T2 → T3 → T4 [G1] → T5 → T6 → T7 → T8 [G2] → T9 → T10 [G3] → T11 [G4] → T12, with node state and every gate decision kept on the record.

单一交付包

One delivery package

所有产物走同一条发布链，逐文件 SHA256 比对线上与工作区 —— 版本不会偷偷漂移。

Every artifact goes through one publish chain, with per-file SHA256 comparison between production and the workspace — versions cannot drift silently.

数据可溯源

Traceable data

每个数字都能追到文件路径 / 章节 / 数据版本；核验不过的，宁可不显示。

Every number can be traced to a file path / section / data version; anything that fails verification is simply not shown.

离线可用

Works offline

语料、图谱、报告全部落本地；外部数据源只作增强，断了也不影响已交付的内容。

Corpus, graph and reports all live locally; external sources are only an enhancement, and losing them does not affect what was delivered.

G1 语料门G1 Corpus gate G2 证据门G2 Evidence gate G3 指标门G3 Metrics gate G4 合规门G4 Compliance gate

科研干货

Research notes

📝 科研干货 Blog

📝 Research notes

研究空白怎么找、文献综述怎么写、选题怎么定 —— 只写能落地的方法与真实案例，不做空泛的方法论口号。

How to find a gap, how to write the review, how to pick a topic — methods that survive contact with a real project.

如何识别真正的 Research Gap？科研文献综述挖掘研究空白完整指南How to Identify Genuine Research Gaps: A Practical Guide for Literature Review

Research Gap 的三种类型、四个最常见误区，以及一条可复用的四步做法。

The three types of gap, the four mistakes that waste months, and a four-step method you can reuse.

查看全部文章 →All articles →

Vision

我们的愿景

Our Vision

ai4gap

AI makes identifying gaps easier.

  • 科研的核心是发现空白，而不是复述已有文献。
  • 当前大模型很容易生成幻觉、编造引用，很多调研输出无法直接用于开题、基金立项。
  • 我们希望搭建一套工程化的科研调研流水线：把文献阅读、信息抽取、知识融合、研究缺口挖掘变成可复现、可核验的工作流。
  • 每一条研究缺口，都要有真实文献作为证据；每一份产出，都可以被溯源、被核验。
  • 我们不替代科研人员的思考与创新，而是把大量重复、耗力的文献整理工作交给系统，让研究者把精力聚焦在真正的科学问题上。
  • 我们面向材料、新能源、化工、机械、医药、管理科学等多学科科研场景，持续迭代 Agent 能力与质量门控机制。
  • The essence of research is discovering genuine gaps, not restating existing literature.
  • Generic LLMs frequently produce hallucinations and fake citations, which makes their output unusable for thesis proposals and grant applications.
  • We want to build an engineered research pipeline: literature reading, information extraction, knowledge fusion and gap mining become reproducible, verifiable workflows.
  • Every research gap must be supported by real literature; every output can be traced and audited.
  • We do not replace researchers' thinking and innovation. We hand the repetitive, effort-heavy literature work to the system so researchers can focus on real scientific questions.
  • We serve multi-disciplinary research — materials, new energy, chemical engineering, machinery, pharmaceutics, management science — and keep iterating Agent capability and quality gates.

📧 联系我们：📧 Contact: [email protected]

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