A first-ever complete map for elastic strain engineering
New research by a team of MIT engineers offers a guide for fine-tuning specific material properties.
New research by a team of MIT engineers offers a guide for fine-tuning specific material properties.
The new approach “nudges” existing climate simulations closer to future reality.
With help from a large language model, MIT engineers enabled robots to self-correct after missteps and carry on with their chores.
In class 4.500 (Design Computation), Professor Larry Sass teaches the thoughtful and experimental process of design through the familiar idea of a chair, while exploring “foundational technologies.”
While working to nurture scientific talent in his native Nigeria, Assistant Professor Ericmoore Jossou is setting his sights on using materials science and computation to design robust nuclear components.
Software allows scientists to model shapeshifting proteins in native cellular environments.
An online model enables users to calculate the least-cost strategy for a specific regional grid under various assumptions; outcomes vary widely from region to region.
MIT LIDS awarded funding from the Appalachian Regional Commission as part of a multi-state collaborative project to model and test new smart grid technologies for use in rural areas.
An easy-to-use technique could assist everyone from economists to sports analysts.
The team used machine learning to analyze satellite and roadside images of areas where small farms predominate and agricultural data are sparse.
The MIT Orbital Capacity Assessment Tool lets users model the long-term future space environment.
Five multimedia projects communicating climate futures selected for 2023 WORLDING program, online and at MIT.
Placing solutions in the cloud but learning with boots on the ground, GEAR Lab researchers build low-cost, solar-powered irrigation tools to make precision agriculture more accessible.
AI models that prioritize similarity falter when asked to design something completely new.