AI a cikin Gano Materials
AI yana tsinkaya waɗanne sabbin kayan za su wanzu, su kasance masu ƙarfi, kuma suna da kaddarori masu amfani, da matuƙar raguwar bincike ta wurin sarari mara iyaka na yuwuwar mahadi.
Dubawa
It matters for batteries, solar cells, superconductors, and catalysts where finding the right material can take decades.
Zurfafa nutsewa
A al'adance, gano sabon abu yana nufin jinkirin haɗawar gwaji-da-kuskure ko ƙirar ƙira-ƙira mai tsada. AI yana haɓaka ƙarshen duka biyu. Cibiyoyin sadarwar jijiyoyi suna wakiltar crystal azaman atoms (nodes) da kuma haɗin gwiwa (gefuna) kuma koyi hasashen kaddarorin kamar samuwar makamashi, ratar bandeji, ko gudanarwa cikin milliseconds maimakon sa'o'i na ka'idar aiki mai yawa. Samfuran ƙirƙira suna ba da shawarar gabaɗayan sabbin tsarin ɗan takara, kuma AI yana kallon miliyoyin su don nuna ƴan ƙima da ƙima a cikin lab. A cikin 2023 DeepMind's GNoME ya ba da rahoton ɗaruruwan dubban lu'ulu'u masu tsayi da aka annabta, kuma Microsoft's MatterGen ya nuna ƙirar ƙirƙira da aka sharadi akan kaddarorin da ake so. Ana ƙara waɗannan samfuran suna ciyar da dakunan gwaje-gwaje masu tuƙi, inda robots ke haɗawa da gwada manyan ƴan takara ta atomatik.
Fahimtar Fasaha
Samfuran kadarorin kristal kamar cibiyoyin sadarwar jadawali suna mutunta ma'anar ilimin kimiyyar lissafi: ba su da bambanci ga fassara, jujjuyawa, ko ragi na atom, wanda ke ba da tsinkaya daidaitattun jiki da ingantaccen bayanai. Bututun da aka saba amfani da shi mai saurin maye gurbin jijiyar jiki don tantance miliyoyin 'yan takara, sannan ya tabbatar da mafi kyawu tare da ka'idar aiki mai yawa, kuma a ƙarshe ya haɗa kaɗan. Wannan mazurari yana juya bincike mai saurin jujjuyawa zuwa jerin jerin sunayen da za a iya gani yayin da ake kiyaye tsauraran binciken kimiyyar lissafi a ƙarshe.
Dabarun Tasiri
Gina zaɓuɓɓuka
Tsarin matakin aikace-aikacen yana ƙayyade ko AI yana inganta sakamako na gaske.
Ƙungiya da aikin aiki
Kyakkyawan haɗin gwiwar aiki yana haifar da ribar yawan aiki masu amfani za su iya amincewa.
Haɗari da aminci
Abubuwan da aka yi amfani da su da kyau suna rage gajiyar canji da haɗarin aiwatarwa.
Makomar AI a cikin Gano Kayayyaki
Iyakar tana rufe madauki: ƙirar ƙira tana ba da shawarwarin kayan da aka yi niyya, AI tana tsara hanyar haɗin gwiwa, da keɓaɓɓen dakunan gwaje-gwaje na mutum-mutumi masu sarrafa kansu da auna su tare da sakamakon da ke mayar da su cikin samfuran. Yi tsammanin ingantacciyar kulawar haɓakawa, ba kawai kwanciyar hankali na thermodynamic ba, da haɓaka cikin abubuwan da aka koyan na injina waɗanda ke gudanar da simintin ƙirar ƙwayoyin cuta a kusan daidaitattun ƙididdiga amma mafi girman saurin buɗewa, buɗe gwaje-gwaje masu tsayi da girma.
Aiwatar da Gaskiyar Duniya
DeepMind's GNoME yana tsinkayar dubunnan dubunnan sabbin tsayayyen tsarin kristal da faɗaɗa sanannun bayanan bayanai
Ƙwararrun interatomic da aka koyan na'ura yana gudana cikin sauri, kusa-DFT-daidaitaccen ƙarfin kuzarin kwayoyin halitta don gami da electrolytes
Samfuran ƙira kamar MatterGen suna ba da shawarar lu'ulu'u waɗanda aka yi niyya zuwa ga tazarar band da ake so ko kayan maganadisu
Dakunan gwaje-gwaje masu tuƙi (misali, A-Lab) inda AI ke zaɓar 'yan takara kuma robots ke haɗawa da siffanta su kai tsaye.
Hatsari & Tsare-tsare
Yin aiki da ɓaryayyen tsari na iya haɓaka matsalolin da ke akwai.
Ƙungiyoyi na iya wuce gona da iri kuma su cire hukuncin ɗan adam da ake buƙata.
Ingancin na iya motsawa idan ba a ci gaba da kimanta abubuwan da aka fitar ba.
Taswirar Hanya
Taswirar tsarin aiki na yanzu kuma gano matakin mafi girman juzu'i.
Ƙayyade wuraren bincike na ɗan adam kafin cikakken aiki da kai.
Horar da masu amfani akan faɗakarwa, hanyoyin haɓakawa, da ƙa'idodi masu inganci.
Bibiyar sakamakon matakin ɗawainiya don tabbatar da ƙima mai dorewa.
Ci gaba da Bincike
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Jagora na gaba
Gano Drug Labs Isomorphic
Tambayoyin da ake yawan yi
What is AI in Materials Discovery?
AI yana tsinkaya waɗanne sabbin kayan za su wanzu, su kasance masu ƙarfi, kuma suna da kaddarori masu amfani, da matuƙar raguwar bincike ta wurin sarari mara iyaka na yuwuwar mahadi. Yana da mahimmanci ga batura, ƙwayoyin hasken rana, superconductor, da masu haɓakawa inda gano abubuwan da suka dace na iya ɗaukar shekaru da yawa.
Ta yaya cibiyar sadarwar jadawali ke wakiltar crystal?
Lu'ulu'u zane ne na dabi'a: atom ɗin nodes ne kuma haɗin gwiwar interatomic gefuna ne, barin GNNs su koyi alaƙa-tsari-Properties.
Menene jinkirin lissafin ilimin lissafi AI masu maye gurbin AI sukan maye gurbin don dubawa da sauri?
DFT daidai ne amma tsada; jijiyoyi sun yi kama da hasashen kadarorin sa a cikin millise seconds don tantance 'yan takara da yawa.
Menene GNoME na DeepMind ya ba da gudummawa a cikin 2023?
GNoME ya annabta ɗimbin sababbin lu'ulu'u masu tsayayye, ƙaƙƙarfan faɗaɗa bayanai na kayan ɗan takara.
Me yasa juye-juye da juzu'i ke da mahimmanci a cikin samfuran kayan aiki?
Kaddarorin jiki bai kamata su canza ba idan kuna juyawa, motsawa, ko sake yiwa zarra; ginawa a cikin waɗannan symmetry yana inganta daidaito da ingantaccen bayanai.
Menene 'Lab mai tuƙi' a cikin gano kayan?
Labs masu cin gashin kansu suna rufe madauki: AI yana ba da shawarar kayan aiki da tsarin robotic suna yin su da sifa su, suna ba da sakamako ga samfuran.