# Department of Energy (DoE)

Published articles for Department of Energy (DoE).

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## AI helps design new materials that work in the real world

DevFeed: [AI helps design new materials that work in the real world](<https://devfeed.tech/articles/ai-helps-design-new-materials-that-work-in-the-real-world-37941.md>)

Original publisher: [Read original article](<https://news.mit.edu/2026/ai-helps-design-new-materials-that-work-in-real-world-0826>)

Author: Zach Winn | MIT News

Published: 2026-08-26T09:00:00Z

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>), [Framework](<https://devfeed.tech/topics/framework.md>), [Simulation and Design](<https://devfeed.tech/topics/simulation-and-design.md>), [Crystal](<https://devfeed.tech/topics/crystal.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [artificial-intelligence](<https://devfeed.tech/tags/artificial-intelligence.md>), [bowen-yu](<https://devfeed.tech/tags/bowen-yu.md>), [chemical-engineering](<https://devfeed.tech/tags/chemical-engineering.md>), [chemistry](<https://devfeed.tech/tags/chemistry.md>), [computer-chips](<https://devfeed.tech/tags/computer-chips.md>), [computer-science-and-technology](<https://devfeed.tech/tags/computer-science-and-technology.md>), [crystal](<https://devfeed.tech/tags/crystal.md>), [crysvcd](<https://devfeed.tech/tags/crysvcd.md>), [data-centers](<https://devfeed.tech/tags/data-centers.md>), [department-of-energy-doe](<https://devfeed.tech/tags/department-of-energy-doe.md>), [diffusion-models](<https://devfeed.tech/tags/diffusion-models.md>), [dmse](<https://devfeed.tech/tags/dmse.md>), [hao-tang](<https://devfeed.tech/tags/hao-tang.md>), [heather-kulik](<https://devfeed.tech/tags/heather-kulik.md>), [ju-li](<https://devfeed.tech/tags/ju-li.md>), [machine-learning](<https://devfeed.tech/tags/machine-learning.md>), [materials-design](<https://devfeed.tech/tags/materials-design.md>), [materials-discovery](<https://devfeed.tech/tags/materials-discovery.md>), [materials-science-and-engineering](<https://devfeed.tech/tags/materials-science-and-engineering.md>), [mingda-li](<https://devfeed.tech/tags/mingda-li.md>), [mouyang-cheng](<https://devfeed.tech/tags/mouyang-cheng.md>), [national-science-foundation-nsf](<https://devfeed.tech/tags/national-science-foundation-nsf.md>), [nuclear-science-and-engineering](<https://devfeed.tech/tags/nuclear-science-and-engineering.md>), [paper](<https://devfeed.tech/tags/paper.md>), [physics](<https://devfeed.tech/tags/physics.md>), [research](<https://devfeed.tech/tags/research.md>), [school-of-engineering](<https://devfeed.tech/tags/school-of-engineering.md>), [school-of-science](<https://devfeed.tech/tags/school-of-science.md>), [semiconductors](<https://devfeed.tech/tags/semiconductors.md>), [weiliang-luo](<https://devfeed.tech/tags/weiliang-luo.md>), [weiwei-xie](<https://devfeed.tech/tags/weiwei-xie.md>), [yongqiang-cheng](<https://devfeed.tech/tags/yongqiang-cheng.md>)

### AI overview

MIT researchers developed CrysVCD, a framework that applies chemistry-based valence constraints before material generation to improve the stability of generated designs. In tests, it achieved high lattice-dynamics stability in nearly 70 percent of computational material generations and supported targeting properties such as high thermal conductivity and high dielectric constant.

### Source excerpt

The "CrysVCD" tool developed at MIT could cut the huge amounts of time and money spent on screening out chemically unstable designs.

## 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.

## Jesse Thaler named director of the Laboratory for Nuclear Science

DevFeed: [Jesse Thaler named director of the Laboratory for Nuclear Science](<https://devfeed.tech/articles/jesse-thaler-named-director-of-the-laboratory-for-nuclear-science-37961.md>)

Original publisher: [Read original article](<https://news.mit.edu/2026/jesse-thaler-named-director-laboratory-nuclear-science-0707>)

Author: Julia C. Keller | School of Science

Published: 2026-07-07T14:45:00Z

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>), [AI Research](<https://devfeed.tech/topics/ai-research.md>), [AI, ML & Data Engineering](<https://devfeed.tech/topics/ai-ml-data-engineering.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [ai-in-physics](<https://devfeed.tech/tags/ai-in-physics.md>), [artificial-intelligence](<https://devfeed.tech/tags/artificial-intelligence.md>), [bolek-wyslouch](<https://devfeed.tech/tags/bolek-wyslouch.md>), [data](<https://devfeed.tech/tags/data.md>), [department-of-energy-doe](<https://devfeed.tech/tags/department-of-energy-doe.md>), [faculty](<https://devfeed.tech/tags/faculty.md>), [idss](<https://devfeed.tech/tags/idss.md>), [jesse-thaler](<https://devfeed.tech/tags/jesse-thaler.md>), [laboratory-for-nuclear-science](<https://devfeed.tech/tags/laboratory-for-nuclear-science.md>), [leadership](<https://devfeed.tech/tags/leadership.md>), [mit-center-for-theoretical-physics-ctp](<https://devfeed.tech/tags/mit-center-for-theoretical-physics-ctp.md>), [mit-ctp-li](<https://devfeed.tech/tags/mit-ctp-li.md>), [mit-faculty-appointments](<https://devfeed.tech/tags/mit-faculty-appointments.md>), [mit-iaifi](<https://devfeed.tech/tags/mit-iaifi.md>), [mit-idss](<https://devfeed.tech/tags/mit-idss.md>), [mit-leadership](<https://devfeed.tech/tags/mit-leadership.md>), [mit-lns](<https://devfeed.tech/tags/mit-lns.md>), [national-science-foundation-nsf](<https://devfeed.tech/tags/national-science-foundation-nsf.md>), [nergis-mavalvala](<https://devfeed.tech/tags/nergis-mavalvala.md>), [particle-physics](<https://devfeed.tech/tags/particle-physics.md>), [physics](<https://devfeed.tech/tags/physics.md>), [quantum](<https://devfeed.tech/tags/quantum.md>), [research](<https://devfeed.tech/tags/research.md>), [school-of-science](<https://devfeed.tech/tags/school-of-science.md>), [science](<https://devfeed.tech/tags/science.md>), [tracey-slatyer](<https://devfeed.tech/tags/tracey-slatyer.md>)

### AI overview

Professor Jesse Thaler has been named director of MIT's Laboratory for Nuclear Science, effective Aug. 1. He succeeds Bolek Wyslouch and will lead the laboratory while continuing research combining particle physics and machine learning.

### Source excerpt

The professor of physics and inaugural director of the NSF AI Institute for Artificial Intelligence and Fundamental Interactions will lead LNS and continue his research in particle physics.