1. Kev Tshawb Fawb Txog Kev Txawj Ntse thiab Kev Ua Kom Zoo hauv Kev Ua Dej Num
Nyob rau hauv lub tshav pob ntawm ore purification, ib tug ntxhia ua nroj tsuag qhia ib tugsib sib zog nqus kev kawm-raws li duab paub systemtxhawm rau txheeb xyuas cov ore hauv lub sijhawm. Lub AI algorithms raug txheeb xyuas cov yam ntxwv ntawm lub cev ntawm cov ore (xws li, qhov loj me, cov duab, xim) txhawm rau txheeb xyuas thiab tshuaj xyuas cov ore qib siab sai. Lub kaw lus no txo qhov kev ua yuam kev ntawm cov ntawv qhia ib txwm siv los ntawm 15% mus rau 3%, thaum nce kev ua haujlwm tau zoo los ntawm 50%.
covKev tsom xam: Los ntawm kev hloov tib neeg kev txawj ntse nrog kev paub txog kev siv tshuab, AI tsis tsuas yog txo cov nqi zog tab sis kuj txhim kho cov khoom siv raw purity, tso lub hauv paus ruaj khov rau cov kauj ruam tom ntej.
2. Parameter Control nyob rau hauv Semiconductor Material Manufacturing
Intel ntiav ib tugAI-tsav tswj qhov systemnyob rau hauv semiconductor wafer ntau lawm los saib xyuas qhov tsis tseem ceeb (xws li, kub, roj ntws) hauv cov txheej txheem xws li tshuaj vapor deposition (CVD). Cov qauv kev kawm tshuab dynamically kho parameter ua ke, txo wafer impurity theem los ntawm 22% thiab nce yield los ntawm 18%.
covKev tsom xam: AI captures non-linear kev sib raug zoo nyob rau hauv complex txheej txheem los ntawm cov ntaub ntawv qauv, optimizing purification tej yam kev mob kom txo tau impurity tuav thiab txhim kho cov khoom purity zaum kawg.
3. Kev tshuaj xyuas thiab kev lees paub ntawm Lithium roj teeb Electrolytes
Microsoft koom tes nrog Pacific Northwest National Laboratory (PNNL) los sivAI qauvtxhawm rau tshuaj xyuas 32 lab tus neeg sib tw cov ntaub ntawv, txheeb xyuas cov khoom siv-xeev electrolyte N2116. Cov khoom siv no txo cov lithium hlau siv los ntawm 70%, txo qhov kev pheej hmoo ntawm kev nyab xeeb los ntawm lithium reactivity thaum purification. AI ua tiav qhov kev tshuaj ntsuam hauv lub lis piam-ib txoj haujlwm uas ib txwm xav tau 20 xyoo.
covKev tsom xam: AI-enabled high-throughput computational screening accelerates the discovery high-purity materials while simple purification requirements by compositional optimization, balancing efficiency thiab kev nyab xeeb.
Common Technical Insights
- covData-Driven Decision-Making: AI integrates kev sim thiab simulation cov ntaub ntawv rau daim ntawv qhia kev sib raug zoo ntawm cov khoom vaj tse thiab purification tshwm sim, heev shortening mus sim-thiab-yuam kev mus.
- covMulti-Scale Optimization: Los ntawm atomic-theem kev npaj (xws li, N2116 kev tshuaj ntsuam 6 ) mus rau macro-theem txheej txheem tsis (xws li, semiconductor manufacturing 5 ), AI enables cross-scale synergy.
- covKev cuam tshuam nyiaj txiag: Cov xwm txheej no qhia txog kev txo nqi ntawm 20-40% los ntawm kev ua haujlwm tau zoo lossis txo cov pov tseg.
Cov piv txwv no qhia txog yuav ua li cas AI tau hloov kho cov khoom siv purification thev naus laus zis hla ntau theem: cov khoom siv raw ua ntej, kev tswj cov txheej txheem, thiab cov qauv tsim.
Post lub sij hawm: Mar-28-2025