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What is InfoChem?

At DeepMatter Group, we are dedicated to offering our cutting-edge platforms for Synthesis & Reaction Prediction, Information Extraction, Cheminformatics, and the innovative DigitalGlassware®, a cloud-based digital chemistry solution that significantly improves recordability, reproducibility, and shareability throughout the entire discovery journey, from the initial reaction planning to the final result analysis. We maintain a robust partnership with our clients and users as we create pioneering software solutions aimed at enhancing chemical research and optimizing scientific workflows. Our extensive array of products accelerates and refines the processes involved in hypothesis generation, design, and synthesis, enabling faster market introduction of new compounds like pharmaceuticals, agrichemicals, and performance chemicals. Furthermore, DigitalGlassware transforms chemistry into a digital format, ultimately increasing laboratory productivity and efficiency in research activities. This integration of technology with chemistry not only fosters innovation but also promotes collaboration within the scientific community, paving the way for future advancements and breakthroughs. The synergy of these tools and platforms exemplifies our commitment to advancing the field of chemistry.

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.

Media

Media

No images available

Integrations Supported

Tribepad

Integrations Supported

Hugging Face
ModelScope

API Availability

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided
Free Version

Supported Platforms

SaaS
Windows

Supported Platforms

SaaS
On-Prem

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Not specified

Training Options

Documentation Hub
On-Site Training

Training Options

Documentation Hub

Company Facts

Organization Name

DeepMatter

Company Location

Germany

Company Website

www.deepmatter.io/about-us/infochem

Company Facts

Organization Name

Deep Principle

Date Founded

2024

Company Location

China

Company Website

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

Categories and Features

Chemical

Not specified

Categories and Features

AI Models

Not specified

AI Science

Not specified

Open-Weight AI Models

Not specified

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