By making use of MIT’s existing fiber optic infrastructure, PhD student Hilary Chang imaged the ground underneath campus, a method that can be used to characterize seismic hazards.

A cross-departmental team is leading efforts to utilize machine learning for increased efficiency in heating and cooling MIT’s buildings.

A state-of-the-art facility replaces a nearly 80-year-old campus landmark to become the most advanced wind tunnel in U.S. academia.

System could reclaim pure water from power plant cooling towers; at-scale prototypes tested on MIT facilities have proven effective.

FIB-SEM is now available to researchers across the Institute for use in characterization, nanofabrication, and rapid prototyping.

Student-led efforts preserve iconic campus landmark for future generations of education and research.

Aims to reduce carbon emissions through changes in procurement, waste tracking, airline travel, and other areas of operation.

MIT serves as a laboratory for a multifaceted approach to address the Institute’s own contributions to climate change.

Instrument can provide information on various properties of thin films via a combination of optical characterization and modeling.

A decision-making framework and wiki for students developed by MIT Project Manus and MIT Environment, Health and Safety enables safe making from home.