Back to "All News"

Modeling and Simulation

Searching News Content

49 Results
Theory-guided strategy expands the scope of measurable quantum interactions
A new study by Mingda Li and his team finds an oft-ignored effect can be used to probe an important property of semiconductors.
Model predicts long-term effects of nuclear waste on underground disposal systems
The new study by Haruko Wainwright and researchers at Lawrence Berkeley National Lab and the University of Orléans suggests modeling could be used to validate the safety of nuclear disposal sites.
Unlocking the secrets of fusion’s core with AI-enhanced simulations
Fusion’s future depends on decoding plasma’s mysteries. Simulations can help keep research on track and reveal more efficient ways to generate fusion energy.
For clean ammonia, MIT engineers propose going underground
New computational chemistry techniques accelerate the prediction of molecules and materials
A multi-task machine learning approach is developed to predict the electronic properties of molecules, as demonstrated in the computational workflow illustrated here. Back in the old days, the really old days, the task of designing materials was laborious. Investigators, over the course...
Researching high-fidelity methods to make small modular reactors more cost-effective
When Youyeon Choi was in high school, she discovered she really liked “thinking in geometry.” The shapes, the dimensions…she was into all of it. Today, geometry plays a prominent role in her doctoral work under the guidance of Professor Koroush Shirvan, as...
NSE’s Yu-Jou Wang wins 2024 Young Professional Thermal Hydraulics Research Competition
MIT postdoctoral candidate Yu-Jou Wang won the Young Professional Thermal-Hydraulic Research Competition at the 2024 American Nuclear Society Winter Meeting. The winning paper “A Dynamic Turbulence Tracking Approach for Uncertainty Quantification of URANS CFD Models”, is co-authored with MIT’s Professor Emilio Baglietto
Smart handling of neutrons is crucial to fusion power success
In the fall of 2009, when Ethan Peterson arrived at MIT as an undergraduate, he already had some ideas about possible career options. He’d always liked building things, even as a child, so he imagined his future work would involve engineering of...
A new approach to fine-tuning quantum materials
An MIT-led group shows how to achieve precise control over the properties of Weyl semimetals and other exotic substances Quantum materials – those with electronic properties that are governed by the principles of quantum mechanics such as correlation and entanglement – can...
AI method radically speeds predictions of materials’ thermal properties
The approach, developed by NSE’s Mingda Li and a team of researchers from MIT and elsewhere, could help engineers design more efficient energy-conversion systems and faster microelectronic devices, reducing waste heat.