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Updates every hour. Last Updated: 19-Jun-2026 01:16 ET (19-Jun-2026 05:16 GMT/UTC)
Honeycomb lattice sweetens quantum materials development
DOE/Oak Ridge National LaboratoryResearchers at the Department of Energy’s Oak Ridge National Laboratory are pioneering the design and synthesis of quantum materials, which are central to discovery science involving synergies with quantum computation. These innovative materials, including magnetic compounds with honeycomb-patterned lattices, have the potential to host states of matter with exotic behavior.
- Journal
- Inorganic Chemistry
- Funder
- US Department of Energy Office of Science, Laboratory Directed Research and Development program of Oak Ridge National Laboratory
Landing scheduling for carrier aircraft fleet considering bolting probability and aerial refueling
KeAi Communications Co., Ltd.- Journal
- Defence Technology
- Funder
- National Natural Science Foundation of China, Natural Science and Technology Program of Liaoning Province
New AI model shows how to evacuate for fires one safe step at a time
National Institute of Standards and Technology (NIST)During a fire, the safest exit is generally the closest one. But as a fire spreads, a nearby exit can become unsafe. A NIST-led team has created a new AI model that can identify safe evacuation routes in a single-story floor plan during a fire, with a multilevel version in the works.
- Journal
- Journal of Building Engineering
An innovative new tool draws on emojis to improve consumer sentiment analysis
American Marketing Association- Journal
- Journal of Marketing
FedCare: towards interactive diagnosis of federated learning systems
Higher Education PressFedCare delivers the first visual pipeline that pinpoints, classifies and mitigates FL failures in real time, cutting convergence rounds and boosting accuracy across tested attacks without sacrificing privacy.
- Journal
- Frontiers of Computer Science
DVRE: dominator-based variables reduction of encoding for model-based diagnosis
Higher Education PressDVRE cuts MaxSAT encoding size offline and clauses online, delivering the fastest complete MBD on ISCAS-85 for both single- and multi-observation cases without extra data.
- Journal
- Frontiers of Computer Science
Boosting recommendation performance by user intention aware visual feature pre-training
Higher Education PressResearch team debuts the first visual pre-training paradigm tailored for CTR prediction, lifting Taobao GMV by 0.88% (p < 0.01) via user-intent contrastive learning that mines interest-centric image signals.
- Journal
- Frontiers of Computer Science
Multi-constraint reinforcement learning in complex robot environments
Higher Education PressFPMCO decomposes multi-constraint RL into KL-projection sub-problems, achieving higher reward with lower computing than second-order rivals on the new SCIG robotics benchmark.
- Journal
- Frontiers of Computer Science