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What is Hydrogen-1.0?

Hydrogen-1.0 is an innovative scientific language model featuring open weights, developed by Deep Principle through the post-training of GLM-5.3, utilizing a wide variety of data sources such as chemistry, materials science, life sciences, laboratory notes, and research methodologies. The primary goal of this model is to aid researchers in addressing scientific questions, clarifying derivations, analyzing reaction pathways, interpreting spectra, designing experiments, and formulating hypotheses regarding materials. Its capabilities encompass scientific computing workflows, exploration of reaction networks, NMR structure analysis, experiment planning, and material discovery. Users can easily obtain the model by downloading its weights from platforms like Hugging Face and ModelScope, accessing it via API through NeuroSpark, or utilizing Deep Principle's Mira AI Scientist. Additionally, Hydrogen-1.0 can be run locally with proper hardware and software setups. It is crucial for researchers to critically evaluate the model's outputs in context with relevant evidence and scientific constraints, promoting responsible usage in their research endeavors. Consequently, Hydrogen-1.0 signifies a major leap forward in enhancing the efficiency and accessibility of scientific research, ultimately fostering innovation and collaboration in various fields. This advancement opens new avenues for interdisciplinary studies, bridging gaps between different scientific domains.

What is Claude Science?

Claude Science is an AI-powered scientific computing application designed to help researchers perform complex analyses, manage computational workflows, and accelerate scientific discovery within a unified research environment. Built as a specialized application powered by Claude models, the platform extends beyond a traditional AI assistant by integrating scientific databases, laboratory systems, electronic lab notebooks, computational tools, and high-performance computing infrastructure into one workflow. Researchers can perform data wrangling, literature searches, statistical analysis, visualization, figure generation, manuscript drafting, and scientific reasoning without constantly switching between multiple applications. Every figure, notebook, table, and analytical result is accompanied by complete provenance information, including the code, computational environment, and AI interactions that produced it, making research fully reproducible and easier to validate over time. Claude Science supports execution across local workstations, Linux servers, GPU infrastructure, and HPC clusters while automatically managing the computational environments required for each project. The platform includes specialized capabilities for genomics, single-cell RNA sequencing, proteomics, structural biology, cheminformatics, evolutionary biology, and numerous other computational life science disciplines. Researchers can connect existing laboratory pipelines, internal APIs, scientific databases, protein models, and custom research infrastructure through extensible connectors without replacing their current software ecosystem. Built-in scientific tools allow users to query dozens of scientific databases, generate publication-ready figures, refine visualizations through natural language, and perform sophisticated analyses using persistent Python and R environments.

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Integrations Supported

Hugging Face
ModelScope

Integrations Supported

AWS Marketplace
Accenture AI Refinery
Amazon Web Services (AWS)
Claude Fable 5
Claude Fable 5.1
Claude Fable 5.5
Claude Mythos 5.1
Claude Opus 4.1
Claude Opus 5.5
Claude Sonnet 4.5
Claude Sonnet 4.6
Claude Sonnet 5.5
Databricks
Google Workspace
KPMG Risk Hub
Microsoft Outlook
Microsoft Teams
PwC Check-In

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided
Free Version

Pricing Information

Pricing not provided

Supported Platforms

SaaS
On-Prem

Supported Platforms

SaaS
Mac
Linux

Customer Service / Support

Not specified

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Deep Principle

Date Founded

2024

Company Location

China

Company Website

blog.deepprinciple.com/introducing-hydrogen-1.0/

Company Facts

Organization Name

Anthropic

Date Founded

2021

Company Location

United States

Company Website

claude.com/product/claude-science

Categories and Features

AI Models

Not specified

AI Science

Not specified

Open-Weight AI Models

Not specified

Categories and Features

AI Research Tools

Not specified

AI Science

Not specified

Life Sciences

Not specified

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