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2026-10-20
Blueprint for an AI-Enabled Particle Theory Community
George T. FlemingDaniel C. HackettJames HalversonT. J. HobbsStefan HoecheBrandon KriestenKonstantin T. MatchevTony MenzoStephen MrennaBenjamin NachmanPrasanth ShyamsundarDavid ShihJesse ThalerJure ZupanPrateek AgrawalJonathan BaggerYang BaiBrian BatellSean BenevedesVedran BrdarMatthew R. BuckleyChristopher CaroneMu-Chun ChenKun ChengSo ChigusaR. Sekhar ChivukulaNeil ChristensenTimothy CohenJonathan M. CornellAntonio DelgadoRadovan DermisekJeff A. DrorAnatoly DymarskyJonathan L. FengTerrance FigyAlexander FriedlandDorival GoncalvesCraig GroupTao HanMark HertzbergSamuel HomillerMatheus HostertPhilip IltenZhong-Bo KangCan KilicDoojin KimWilliam H. KinneySimon KnapenKyoungchul KongGraham KribsShirley LiHuey-Wen LinZhen LiuIan LowPedro MachadoKendall MahnAlexander MaloneyLiam McAllisterDjordje MinicBernhard MistlbergerSebastian MizeraMoritz MünchmeyerEthan NeilNobuchika OkadaSofia Palacios SchweitzerIan PangAndreas PapaefstathiouAlexey PetrovDavid PolandXiaolin QiMichael RatzLaura ReinaThomas RizzoNicholas RoddAlessandro RussoPhilip SchusterPhiala ShanahanElizabeth H. SimmonsGeorge SiopsisDejan StojkovicShufang SuTim M. P. TaitLian-Tao WangZhengkang Zhang
文献摘要
Rapid advances in the capabilities and reach of artificial intelligence (AI) are changing research in particle physics. In this new era, AI is an innovative tool for theoretical physicists, while the interaction of AI and particle theory is itself a developing field. We argue that particle theory requires a community-scale effort to realize its full potential. We show how particle theory occupies a unique position in the AI for physics landscape, and describe the complementarity of AI and theory developments. We conclude with a series of recommendations on how to build an AI-enabled theory community for the Genesis Mission.
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