The best AI tools for Science

Powerful Tools for Scientific Research

Data Analysis and Experimentation

• Scikit-learn: https://scikit-learn.org/stable/ - Versatile Python library providing robust algorithms for data analysis, classification, regression, clustering, dimensionality reduction, and model selection.

• TensorFlow https://www.tensorflow.org/ - Open-source platform by Google, ideal for complex numerical computations and large-scale machine learning, often used in deep learning applications.

• PyTorch: https://pytorch.org/ - Flexible deep learning framework popular for research due to its dynamic computational graphs and ease of use.

• Keras: https://keras.io - High-level API built on top of TensorFlow (or other backends), designed for rapid experimentation and user-friendliness in deep learning.

• R: https://www.r-project.org/ - Free software environment for statistical computing and graphics, widely used in scientific data analysis.

• MATLAB: https://www.mathworks.com/ - Commercial software for numerical computing, data analysis, and algorithm development, including a powerful programming language.

Hypothesis Generation and Problem-Solving

• AlphaFold: https://deepmind.com/research/case-studies/alphafold - Groundbreaking AI system by DeepMind for predicting protein structures, transforming drug discovery and fundamental understanding of biological processes.

• OpenAI's GPT-3: https://openai.com/api/ - Large language model with a remarkable ability to generate text, translate, write different kinds of creative content, and answer questions—including scientific inquiries.

• Scholarcy: https://scholarcy.com/ - AI-powered search engine designed to extract structured knowledge from research papers, making it easier to analyze and synthesize results across studies.

Scientific Writing and Presentation

• Grammarly: https://www.grammarly.com/ - AI-powered writing assistant ensuring scientific papers are clear, error-free, and adhere to disciplinary style guides.

• Writesonic: https://writesonic.com/ - AI tool that can generate various written content, including scientific abstracts, grant proposals, and blog posts summarizing research.

• Datawrapper: https://www.datawrapper.de/ - Online data visualization tool for creating simple, embeddable charts, maps, and tables enhancing scientific publications and presentations.

• Flourish: https://flourish.studio/ - Data visualization tool allowing for more complex, interactive, and animated visualizations for engaging scientific presentations.

Simulation and Modeling

• NetLogo: https://ccl.northwestern.edu/netlogo/ - Agent-based modeling environment for simulating complex systems across diverse scientific domains.

• COMSOL Multiphysics: https://www.comsol.com/ - Commercial platform for modeling and simulating physics-based problems across engineering, manufacturing, and scientific fields.

• Gromacs: https://www.gromacs.org/ - A molecular dynamics simulation package designed for the study of biochemical molecules.

Research Management and Collaboration Tools

• Mendeley: https://www.mendeley.com/ - Comprehensive reference management tool for organizing, annotating, and citing research papers.

• Zotero: https://www.zotero.org/ - Open-source reference management tool and powerful counterpart to Mendeley.

• Overleaf: https://www.overleaf.com/ - Real-time collaborative LaTeX editor for seamless scientific writing and document production.