Mining the right transition metals in a vast chemical space
Computational chemists design better ways of discovering and designing materials for energy applications.
Computational chemists design better ways of discovering and designing materials for energy applications.
John Sterman brings workshops with management flight simulators to businesses working toward environmental sustainability.
New modeling tool enables rapid design of effective and equitable policy combinations.
Analyses show stakeholders of all levels must get involved in decarbonizing pavements to reach climate goals.
A new tool brings the benefits of AI programming to a much broader class of problems.
A method for quickly predicting the forces needed to push objects through "flowable media" could help engineers drive robots or anchor ships.
Comparing models of working memory with real-world data, MIT researchers find information resides not in persistent neural activity, but in the pattern of its connections.
In his research, Josué C. Velázquez Martínez focuses on logistics sustainability and small firms in emerging markets.
Built on recent advances in machine learning, the model predicts how well individuals will produce and comprehend sentences.
New technique significantly reduces training and inference time on extensive datasets to keep pace with fast-moving data in finance, social networks, and fraud detection in cryptocurrency.
Using machine learning and simple X-ray spectra, researchers can uncover compounds that might enable next-generation computer chips or quantum devices.
A fourth-generation civil engineer, graduate student Katerina Boukin researches the growing yet misunderstood threat of pluvial flooding, including flash floods.
Amelia Trainer’s work is fundamental to understanding how nuclear reactors operate. A passion for computer modeling and poetry have stood her in good stead through her research career.
Guy Bresler builds mathematical models to understand multifaceted, interdisciplinary engineering problems that have far-reaching applications.
Refining current opacity models will be key to unearthing details of exoplanet properties — and signs of life — in data from the powerful new telescope.