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Entities25 of 207,987
- large language modeltechnology1,042 mentions
- robotic manipulationmarket824 mentions
- artificial intelligencetechnology739 mentions
- reinforcement learningtechnology491 mentions
- density-functional theorytechnology386 mentions
- Transformertechnology371 mentions
- agentic AItechnology353 mentions
- vision-language-action modeltechnology350 mentions
- U.S. Food and Drug Administrationorganization320 mentions
- Vision-Language Modeltechnology318 mentions
- Microsoftorganization291 mentions
- Googleorganization276 mentions
- NVIDIAorganization264 mentions
- Model Context Protocoltechnology232 mentions
- machine learningtechnology204 mentions
- MarketsandMarketsorganization199 mentions
- Claudeproduct191 mentions
- AI agenttechnology188 mentions
- Anthropicorganization177 mentions
- ChatGPTproduct177 mentions
- integrated sensing and communicationtechnology175 mentions
- Amazon Web Services, Inc.organization174 mentions
- OpenAIorganization172 mentions
- diffusion modeltechnology169 mentions
- IBMorganization163 mentions
Entity
density-functional theory
technology386 mentionslast seen Nov 13, 2026
A computational method used for high-throughput screening of altermagnetic materials.
Relationships 50+
- machine learning interatomic potentialdepends ondensity-functional theory99% confidence7 sources
- machine learningdepends ondensity-functional theory99% confidence4 sources
- tight-binding modeldepends ondensity-functional theory99% confidence3 sources
- density-functional theoryapplies toNi-Mn-Ga martensite99% confidence2 sources
- machine learning force fielddepends ondensity-functional theory99% confidence2 sources
- machine-learning molecular dynamicsdepends ondensity-functional theory99% confidence2 sources
- moment tensor potentialdepends ondensity-functional theory99% confidence2 sources
- machine-learned interatomic potentialdepends ondensity-functional theory99% confidence2 sources
- density-functional theorydepends onHubbard correction99% confidence2 sources
- density-functional theoryapplies tocomputational chemistry99% confidence2 sources
- twisted bilayer MoSSedepends ondensity-functional theory99% confidence2 sources
- density-functional theorydepends onmeta-generalized gradient approximation99% confidence2 sources
- density-functional theorydepends onlocal density approximation98% confidence2 sources
- surface passivationdepends ondensity-functional theory97% confidence2 sources
- density-functional theorydepends onHeyd-Scuseria-Ernzerhof hybrid functional97% confidence2 sources
- high-dimensional neural network potentialdepends ondensity-functional theory96% confidence1 source
- TB2Jdepends ondensity-functional theory96% confidence1 source
- effective cluster interactionsdepends ondensity-functional theory95% confidence1 source
- Equation Learner Neural Networkdepends ondensity-functional theory95% confidence1 source
- random-phase approximationdepends ondensity-functional theory95% confidence1 source
- density-functional theorydepends oncarbon monolayer95% confidence1 source
- Abinitimplementsdensity-functional theory95% confidence1 source
- physics-guided machine-learning frameworkdepends ondensity-functional theory95% confidence1 source
- density-functional theoryapplies tomanganese sulfide95% confidence1 source
- BaSnO3depends ondensity-functional theory95% confidence1 source
- Deep Potential methoddepends ondensity-functional theory95% confidence1 source
- germaniumdepends ondensity-functional theory95% confidence1 source
- UnIPHdepends ondensity-functional theory95% confidence1 source
- LatticeMinddepends ondensity-functional theory95% confidence1 source
- density-functional theoryapplies tosilicon95% confidence1 source
- deep neural network interatomic potentialdepends ondensity-functional theory95% confidence1 source
- density-functional perturbation theorydepends ondensity-functional theory95% confidence1 source
- multiscale simulation frameworkdepends ondensity-functional theory94% confidence1 source
- PAOFLOWdepends ondensity-functional theory94% confidence1 source
- phase-field fracture simulationdepends ondensity-functional theory93% confidence1 source
- electronic density representationdepends ondensity-functional theory93% confidence1 source
- numerical atomic orbital basisdepends ondensity-functional theory93% confidence1 source
- DFT + U methoddepends ondensity-functional theory93% confidence1 source
- machine learning accelerated atomistic modelingdepends ondensity-functional theory93% confidence1 source
- graph neural network interatomic potentialdepends ondensity-functional theory93% confidence1 source
- multi-orbital Anderson-Newns modeldepends ondensity-functional theory93% confidence1 source
- ab initio calculationdepends ondensity-functional theory93% confidence1 source
- ensemble Monte Carlodepends ondensity-functional theory93% confidence1 source
- Thomas-Fermi-von Weizsäcker approximationdepends ondensity-functional theory92% confidence1 source
- Co1/4TaSe2depends ondensity-functional theory92% confidence1 source
- tight-binding methoddepends ondensity-functional theory92% confidence1 source
- density-functional theorydepends onextended Hubbard correction92% confidence1 source
- AutoDrudedepends ondensity-functional theory92% confidence1 source
- many-body perturbation theorydepends ondensity-functional theory92% confidence1 source
- Nitrogen based electride superconductor Nb5Ir3N under pressure: multifunctional physical properties from DFT based first-principles investigationdepends ondensity-functional theory92% confidence1 source
Relationship
random-phase approximationdepends ondensity-functional theory
95% confidence1 supporting mentions
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