Hydrogen-1.0

Hydrogen-1.0

Deep Principle
L7|ESP

L7|ESP

L7 Informatics
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About

Hydrogen-1.0 is an open-weight scientific language model developed by Deep Principle through post-training GLM-5.3 on chemistry, materials science and life-sciences data, laboratory records and research trajectories. It is intended to help researchers address scientific questions, explain derivations, explore reaction pathways, analyze spectra, plan experiments and develop materials hypotheses. Demonstrations include scientific computing workflows, reaction-network exploration, NMR structure analysis, experimental planning and materials discovery. The model is available as downloadable weights through Hugging Face and ModelScope, through API access on NeuroSpark, and in Deep Principle's Mira AI Scientist. It can also be run locally using compatible hardware and software. Hydrogen-1.0 supports research workflows; users should review its outputs against relevant evidence and scientific constraints.

About

L7 Enterprise Science Platform (L7|ESP®) is a unified platform that contextualizes data and eliminates business silos via process orchestration. It's a comprehensive solution that facilitates the digitalization of data and scientific processes in life sciences organizations. L7|ESP has native applications, including L7 LIMS, L7 Notebooks, L7 MES, L7 Scheduling, and more. It can integrate with existing third-party applications, lab instruments, and devices to capture all data in a single data model. It has a low-code/no-code workflow designer and hundreds of pre-built connectors to enable rapid time-to-value and end-to-end automation. By leveraging a single data model, L7|ESP enables advanced bioinformatics, AI, and ML to offer novel scientific and operational insights. L7|ESP addresses data and lab management needs in life sciences, particularly in: ● Research and Diagnostics ● Pharma and CDMO ● Clinical Sample Management Resource Center: l7informatics dot com/resource-center

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Researchers and scientific R&D teams working in chemistry, materials science, and life sciences who need assistance with scientific questions, research workflows, experiment planning, or materials exploration.

Audience

Institutions looking for a bio-informatics and statistical analysis platform

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Not Supported

Support

Phone Support Supported
24/7 Live Support Supported
Online Supported

API

Offers API Supported

API

Offers API Not Supported

Screenshots and Videos

No images available

Screenshots and Videos

Pricing

No information available.
Free Version Supported
Free Trial Not Supported

Pricing

Please contact us at info at L7informatics dot com
or fill out a contact form on our website at L7 Informatics dot com
Free Version Not Supported
Free Trial Not Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Supported
Live Online Supported
In Person Supported

Company Information

Deep Principle
Founded: 2024
China
blog.deepprinciple.com/introducing-hydrogen-1.0/

Company Information

L7 Informatics
Founded: 2012
United States
l7informatics.com/esp/

Alternatives

No Alternatives

Alternatives

Labguru

Labguru

Cenevo

Categories

AI Models Supported
AI Science Supported

Categories

Integrations

Hugging Face Supported
ModelScope Supported

Integrations

Hugging Face Not Supported
ModelScope Not Supported
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