News

Carnegie Mellon engineers have developed a simulation tool that predicts how sprayed concrete behaves and solidifies, even around rebar. The breakthrough could transform how buildings are constructed, cutting material waste and enabling stronger, more complex structures for tomorrow’s cities.

Simulator boosts strength, design in spray 3D concrete printing

Researchers from Carnegie Mellon and the University of Maryland found that an emerging technology known as heat pumps leads to reduced disparities in thermal comfort across different income groups.

Heat pump technology may narrow the energy equity gap

Jingyi Wu came to CMU to study physics, but the supportive community he found inspired him to continue his academic journey at the university for nearly a decade.

Three-time alum traverses departments to tackle maternal and fetal health

CMU-Africa student Stephen Augustine is researching rainfall forecasting methodology that addresses food insecurity in Rwanda caused by shifting climates.

Student research forecasts changing rainfall in Rwanda

Undergraduates applied chemical reaction engineering principles to model the water reuse systems at the Center for Sustainable Landscapes at Phipps Conservatory and Botanical Gardens.

Neighborly reactions

Students build an autonomous underwater vehicle that can perform tasks important to the maritime industry, including exploring, detecting, and manipulating objects and deploying projectiles underwater.

Engineering beneath the surface

This year, a civil and environmental engineering graduate is one of four Fifth Year Scholars with a mission of bringing sustainable mending to the CMU and Pittsburgh communities.

Fifth year scholar brings sustainable mending to campus

Researchers develop AlloyBert, a modeling tool designed to predict the properties of alloys.

Transformer-based models for identifying alloy properties

Researchers have developed a novel ML model combining graph neural networks with transformer-based language models to predict adsorption energy of catalyst systems.

Multimodal machine learning model increases accuracy

A recent DARPA award will bring together researchers from multiple universities to develop novel turbomachinery design tools to break the one-part-one-material paradigm.

Multi-university team pursues AI-enhanced design tool