
Explore new AI, data, and EDA tools on nanoHUB and chipshub, plus Birck Nanotechnology Center's experimental data visualization and modeling resources.

Explore finite element analysis for material microstructures using OOF2. Learn FEA fundamentals, simulate stress distributions, and discover its applications in materials engineering and education.

Explore nanoHUB Jupyter Notebooks for creating chemistry teaching applications. Learn about tools for simulating proteins, analyzing lab data, and studying molecular spectroscopy. Discover how to develop and share scientific software effectively.

Explore interactive Jupyter Notebooks on nanoHUB. Learn fundamentals, develop code, analyze data, create visualizations, and build GUIs using Jupyter widgets and nanohub-uidl library.

Explore semiconductor crystal structures using the ABACUS tool suite, focusing on visualization, symmetry, and surface properties of silicon crystals.

Explore protein dynamics and spectroscopy with PigmentHunter, a user-friendly nanoHUB tool for simulating excitonic spectra of chlorophyll proteins. Learn its interface, workflow, and applications in molecular dynamics and spectral analysis.

Explore density functional theory, data visualization, and undergraduate research experiences using the MIT Atomic-Scale Modeling Toolkit for modern physics and condensed matter studies.

Explore electronic structure methods in chemistry using nanoHUB simulation tools. Learn to teach computational chemistry concepts and gain hands-on practice with Hartree-Fock and basis sets using ORCA.

Explore computational chemistry using NUITNS toolkit on nanoHUB. Learn to integrate simulations in undergraduate chemistry courses and analyze nanodiamonds through hands-on demonstrations and practical applications.

Explore nanoHUB tools for teaching chemistry, including DDSCAT, QC-Lab, and Nanosphere Optics Lab. Learn about applications in optics, spectroscopy, and molecular modeling from Prof. George Schatz.

Explore PN junction behavior using Nanohub's interactive lab simulation. Gain hands-on experience with semiconductor physics concepts.

Explore blockchain concepts hands-on with interactive apps and computing, covering hash functions, proof of work, and creating your own blockchain.

Explore hands-on teaching using Jupyter Notebooks on nanoHUB for chemistry courses. Learn to create interactive simulations, visualizations, and programming projects for enhanced student engagement and learning.

Explore machine learning for ionic conductivity prediction using Schrödinger's AutoQSAR tool. Gain hands-on experience with MS Maestro interface to create and implement models for materials science applications.

Learn Python programming from scratch: explore computer basics, coding fundamentals, and essential Python concepts like variables, loops, and data manipulation using Jupyter notebooks on nanoHUB.