# Center for Computational Science and Engineering

Published articles for Center for Computational Science and Engineering.

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## Generating scenarios for extreme events, without extreme data

DevFeed: [Generating scenarios for extreme events, without extreme data](<https://devfeed.tech/articles/generating-scenarios-for-extreme-events-without-extreme-data-37953.md>)

Original publisher: [Read original article](<https://news.mit.edu/2026/generating-scenarios-extreme-events-without-extreme-data-0824>)

Author: Jennifer Chu | MIT News

Published: 2026-08-24T18:00:00Z

Content type: news

Language: en

Sources: [MIT AI News](<https://devfeed.tech/sources/mit-ai-news.md>)

Topics: [Machine learning](<https://devfeed.tech/topics/machine-learning.md>), [Algorithms](<https://devfeed.tech/topics/algorithms.md>), [Critical Infrastructure](<https://devfeed.tech/topics/critical-infrastructure.md>), [data](<https://devfeed.tech/topics/data.md>)

Tags: [algorithm](<https://devfeed.tech/tags/algorithm.md>), [algorithms](<https://devfeed.tech/tags/algorithms.md>), [artificial-intelligence](<https://devfeed.tech/tags/artificial-intelligence.md>), [center-for-computational-science-and-engineering](<https://devfeed.tech/tags/center-for-computational-science-and-engineering.md>), [climate](<https://devfeed.tech/tags/climate.md>), [climate-risk-assessment](<https://devfeed.tech/tags/climate-risk-assessment.md>), [computer-modeling](<https://devfeed.tech/tags/computer-modeling.md>), [critical-infrastructure](<https://devfeed.tech/tags/critical-infrastructure.md>), [data](<https://devfeed.tech/tags/data.md>), [extreme-event-aware](<https://devfeed.tech/tags/extreme-event-aware.md>), [extreme-weather](<https://devfeed.tech/tags/extreme-weather.md>), [fire](<https://devfeed.tech/tags/fire.md>), [heat](<https://devfeed.tech/tags/heat.md>), [idss](<https://devfeed.tech/tags/idss.md>), [kai-chang](<https://devfeed.tech/tags/kai-chang.md>), [learning-fefb62e9fa83](<https://devfeed.tech/tags/learning-fefb62e9fa83.md>), [machine-learning](<https://devfeed.tech/tags/machine-learning.md>), [mechanical-engineering](<https://devfeed.tech/tags/mechanical-engineering.md>), [mit-meche](<https://devfeed.tech/tags/mit-meche.md>), [mit-schwarzman-college-of-computing](<https://devfeed.tech/tags/mit-schwarzman-college-of-computing.md>), [natural-disasters](<https://devfeed.tech/tags/natural-disasters.md>), [research](<https://devfeed.tech/tags/research.md>), [risk](<https://devfeed.tech/tags/risk.md>), [school-of-engineering](<https://devfeed.tech/tags/school-of-engineering.md>), [storm](<https://devfeed.tech/tags/storm.md>), [sustainability](<https://devfeed.tech/tags/sustainability.md>), [themis-sapsis](<https://devfeed.tech/tags/themis-sapsis.md>), [weather](<https://devfeed.tech/tags/weather.md>), [weather-prediction](<https://devfeed.tech/tags/weather-prediction.md>)

### AI overview

MIT engineers developed a machine-learning algorithm that generates plausible future extreme-event scenarios without requiring past extreme events in the training data. It learns from available records, filters out implausible weather scenarios, and estimates events' frequency, size, intensity, duration, and area of impact to help planners prepare.

### Source excerpt

A new algorithm learns to anticipate the unprecedented scenarios that critical infrastructure and global supply chains are least prepared for.

## MIT projects selected for funding under US Department of Energy's Genesis Mission

DevFeed: [MIT projects selected for funding under US Department of Energy's Genesis Mission](<https://devfeed.tech/articles/mit-projects-selected-for-funding-under-us-department-of-energy-s-genesis-mission-37969.md>)

Original publisher: [Read original article](<https://news.mit.edu/2026/mit-projects-selected-funding-under-doe-genesis-mission-0723>)

Author: Office of the Vice President for Research

Published: 2026-07-23T12:00:00Z

Content type: news

Language: en

Sources: [MIT AI News](<https://devfeed.tech/sources/mit-ai-news.md>)

Topics: [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [Supercomputing](<https://devfeed.tech/topics/supercomputing.md>), [systems](<https://devfeed.tech/topics/systems.md>)

Tags: [administration](<https://devfeed.tech/tags/administration.md>), [ai](<https://devfeed.tech/tags/ai.md>), [artificial-intelligence](<https://devfeed.tech/tags/artificial-intelligence.md>), [center-for-computational-science-and-engineering](<https://devfeed.tech/tags/center-for-computational-science-and-engineering.md>), [chemical-engineering](<https://devfeed.tech/tags/chemical-engineering.md>), [department-of-energy](<https://devfeed.tech/tags/department-of-energy.md>), [department-of-energy-doe](<https://devfeed.tech/tags/department-of-energy-doe.md>), [doe](<https://devfeed.tech/tags/doe.md>), [eaps](<https://devfeed.tech/tags/eaps.md>), [engineering](<https://devfeed.tech/tags/engineering.md>), [faculty](<https://devfeed.tech/tags/faculty.md>), [funding](<https://devfeed.tech/tags/funding.md>), [genesis](<https://devfeed.tech/tags/genesis.md>), [genesis-mission](<https://devfeed.tech/tags/genesis-mission.md>), [industry](<https://devfeed.tech/tags/industry.md>), [initiative](<https://devfeed.tech/tags/initiative.md>), [laboratory-for-nuclear-science](<https://devfeed.tech/tags/laboratory-for-nuclear-science.md>), [manufacturing](<https://devfeed.tech/tags/manufacturing.md>), [mathematics](<https://devfeed.tech/tags/mathematics.md>), [mechanical-engineering](<https://devfeed.tech/tags/mechanical-engineering.md>), [mission](<https://devfeed.tech/tags/mission.md>), [national-security](<https://devfeed.tech/tags/national-security.md>), [nuclear-science-and-engineering](<https://devfeed.tech/tags/nuclear-science-and-engineering.md>), [physics](<https://devfeed.tech/tags/physics.md>), [plasma-science-and-fusion-center](<https://devfeed.tech/tags/plasma-science-and-fusion-center.md>), [projects](<https://devfeed.tech/tags/projects.md>), [quantum](<https://devfeed.tech/tags/quantum.md>), [quantum-computing](<https://devfeed.tech/tags/quantum-computing.md>), [quantum-systems](<https://devfeed.tech/tags/quantum-systems.md>), [research](<https://devfeed.tech/tags/research.md>), [research-laboratory-of-electronics](<https://devfeed.tech/tags/research-laboratory-of-electronics.md>), [school-of-engineering](<https://devfeed.tech/tags/school-of-engineering.md>), [school-of-science](<https://devfeed.tech/tags/school-of-science.md>), [science](<https://devfeed.tech/tags/science.md>), [supercomputing](<https://devfeed.tech/tags/supercomputing.md>), [us](<https://devfeed.tech/tags/us.md>)

### AI overview

MIT researchers will contribute to 15 collaborative projects selected for funding under Phase I of the U.S. Department of Energy's Genesis Mission. The projects apply AI, supercomputing, quantum systems, and scientific instruments to research areas including energy, materials, fusion, and national security. Funding remains pending completion of award negotiations.

### Source excerpt

Initial research projects advance national priorities across natural resources, manufacturing, nuclear physics, and more.