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Description
NNScholar serves as a cutting-edge AI-driven academic research platform tailored for graduate students, faculty, and research groups. This online workspace enables users to efficiently discover and screen literature, manage paper libraries, read PDFs, answer questions, translate content, organize evidence, and strategize their research. Users have the ability to explore scholarly databases, filter through and save potential papers, sort references and PDFs, and review notes grounded in their sources. The platform also includes document-writing tools that assist in drafting or revising manuscripts and DOCX files, aligning with journal formatting requirements, posing inquiries about drafts, and ensuring proper citation and consistency. Furthermore, research agents, specialized skills, browser capabilities, and optional plugins enhance workflows related to study design, data analysis, and preparation for journal submissions. Users can start with free sign-up credits, while paid plans provide additional usage credits for more extensive access. Although native desktop applications for macOS and Windows are not yet available, the browser-based workspace offers immediate functionality for researchers. As academic needs evolve, this platform is likely to adapt and expand its features to better serve its users.
Description
Explore our extensive array of publications in Physical Sciences and Engineering, which encompass a wide variety of fields ranging from theoretical concepts to practical applications. Delve into our comprehensive collection of journal articles and book chapters in Life Sciences that showcase original studies, thoughtful critiques, and the latest theories. Stay informed about advancements in health and medicine that can drive research forward and enhance patient care. Browse through our books and journals that provide resources on education, reference materials, decision-making support, and other essential subjects. Additionally, uncover a vast selection of journals and books in social sciences and humanities that illuminate historical perspectives, contemporary issues, and emerging trends. Elsevier actively promotes the sharing of research data by authors upon manuscript submission, and this can include various forms of data such as raw and processed datasets, software, and algorithms. By fostering this practice, we aim to enhance transparency and collaboration within the scientific community.
API Access
Has API
No
API Access
Has API
No
Screenshots View All
No images available
Integrations
Model Context Protocol (MCP)
No
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
Yes
Vendor Details
Company Name
武汉衔光智能科技有限公司
Country
China
Website
www.nnscholar.com
Vendor Details
Company Name
Elsevier
Country
Netherlands
Website
www.sciencedirect.com