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AI for science

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AI for science is the application of machine learning and artificial intelligence methods to accelerate research and discovery across scientific domains. It encompasses work in protein structure prediction, climate modeling, drug discovery, materials design, and particle physics, among others.

Rather than replacing traditional scientific methods, AI for science augments them by learning patterns from experimental and simulation data to generate hypotheses, design experiments, and build fast surrogate models. Landmark examples include AlphaFold for protein structure prediction, GraphCast for weather forecasting, and FermiNet for quantum chemistry.

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OpenNSWM-Lab / FAROS

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A blueprint-driven AutoResearch runtime for orchestrating AI research workflows from idea generation and experiments to paper writing and peer review.

multi-agent paper-writing academic-writing scientific-workflow workflow-orchestration paper-generation academic-research scientific-discovery automated-research autonomous-research ai4science ai-for-science research-automation llm-agents research-agent agentic-workflow ai-scientist research-workflow research-orchestration autoresearch
  • Updated Jul 18, 2026
  • Python

ai4s-research / open-science

Star 1k

Open Science Desktop — local-first, model-agnostic AI research workbench for macOS, Windows & Linux. Open-source Claude Science desktop alternative built on Tauri + MCP + agent skills.

desktop-app windows macos linux reproducible-research mcp open-science scientific-research tauri local-first ai-agent research-tools ai-for-science ai-scientist ai4s research-workbench claude-science claude-science-alternative open-science-desktop claude-science-desktop-alternative
  • Updated Jul 28, 2026
  • TypeScript

xuzhougeng / wisp-science

Star 578

Open-source, local-first desktop AI research workbench for scientific computing with Python/R, MCP bioinformatics tools, SSH/WSL/GPU runtimes, and OpenAI/Anthropic models.

desktop-app python rust bioinformatics reproducible-research mcp computational-biology scientific-computing rstats tauri research-assistant scientific-workflow local-first ai-assistant ai-agent ai4science llm ai-for-science model-context-protocol agent-skills
  • Updated Jul 28, 2026
  • HTML

atomicarchitects / equiformer_v2

Star 348

[ICLR 2024] EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations

machine-learning deep-learning molecular-dynamics pytorch computational-chemistry computational-physics drug-discovery materials-science force-fields geometric-deep-learning graph-neural-networks interatomic-potentials ai-for-science e3nn equivariant-neural-networks equivariant-graph-neural-network catalyst-design equiformer
  • Updated Apr 10, 2026
  • Python
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Website
github.com/topics/ai-for-science

Related topics

ai bioinformatics chemistry data-science deep-learning machine-learning physics simulation