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Bohrium®
Space Station
Land on the space station and explore the AI for Science research universe
Deep potential knowledge
large scientific model
From molecules to the universe, small things can be understood, and large scientific models cover the laws of the operation of all things.
Uni-RNA
Uni-Mol
Uni-Fold
DPA
Scientific Computing
In-depth algorithm optimization, computing power available out of the box, empowering micro-measurement industrial design
Bohrium® deeply optimizes micro-scale scientific computing algorithms and software such as first-principles calculations and molecular dynamics, providing massive high-performance computing power and an efficient and convenient computing simulation environment. Bohrium® is committed to building a team-based scientific research platform to empower micro-scale scientific research and industrial design.
Scientific Research
integrate massive scientific research documents and data, and accumulate in-depth content in the field Uni-finder, a powerful patent document reader based on AI Agent, an AI research assistant for scientists
1000w+
scientific research papers
120w+
field notebooks
1w+
notebook
Medical Science
Life Science
Chemistry
Engineering Science
Social Science
Earth Science
Physics
Business
Art
Economics
Health Science
Biology
Materials Science
Computer Science
Psychology
Geography
Mathematics
Management
Humanities
Finance
AI Scientist · Bohr
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Teaching integrated
A four-in-one teaching and training platform of learning, practicing, testing and competition
Results implemented
AI for Science opens the ecosystem to implement and promote developers’ scientific research results
AI for Science opens the ecosystem to implement and promote developers’ scientific research results
VD-Gen
VD-Gen, a novel pocket-based 3D molecular generation pipeline. VD-Gen consists of several carefully designed stages to generate fine-grained 3D molecules with binding positions in the pocket cavity end-to-end.
SEM Particle Detector
The SEM Particle Detector can automatically identify particles in SEM images and filter results to obtain various distribution characteristics of the particles.
Bohrium®Apps