InoteveraGaidhi rinotevera
AI yeMurwere Dzidzo Zvishandiso
Zvikumbiro
Mharidzo yeMashandisiro
AI muKuwanikwa Kwezvinhu
AI inofanotaura kuti ndezvipi zvitsva zvingave zviripo, zvigadzikane, uye zviine zvivakwa zvinobatsira, zvichideredza zvakanyanya kutsvaga kuburikidza nenzvimbo iri pedyo-isingaperi yezvinobvira makomisheni.
Teerera kugwaro iriAI-yakarondedzerwa · ~2 min
Pa peji ino2 min verenga
Pfupiso
Izvo zvine basa kumabhatiri, masero ezuva, superconductors, uye catalysts uko kutsvaga zvinhu chaiko kunogona kutora makumi emakore.
Kudzika Kwakadzika
AI tools can screen candidate crystals or generate structures under property constraints, but predictions need independent validation. In its 2023 GNoME study, DeepMind reported 381,000 new stable materials and 736 structures independently experimentally verified. MatterGen takes a different generative approach: its diffusion process refines atom types, coordinates, and the periodic lattice, and its paper studies fine-tuning toward property constraints. Computational stability or a generated structure alone does not establish practical synthesizability or useful measured performance.
Kuitwa muNyika yeChokwadi
DeepMind's GNoME inofanotaura mazana ezviuru zvezvitsva zvakagadzika zvekristaro zvimiro uye kuwedzera zvinozivikanwa zvinhu dhatabhesi.
Muchina-wakadzidza interatomic mikana inomhanya nekukurumidza, padhuze-DFT-chaiyo mamorekuru masimba ealloys uye electrolytes.
Mamodheru ekugadzira seMatterGen achikurudzira makristasi anonangwa kune inodiwa bhendi gap kana magineti chivakwa
Kuzvityaira marabhu (semuenzaniso, iyo A-Lab) uko AI inosarudza vamiriri uye marobhoti anogadzirwa uye anoaratidza akazvimirira.
Ramangwana reAI muKuwanikwa Kwezvinhu
Muganho uri kuvhara loop: dhizaini yekugadzira inokurudzira zvinhu zvakanangwa, AI kuronga nzira yekubatanidza, uye inozvimiririra marobhoti labs kugadzira nekuyera iwo nemhedzisiro inodyisa kumashure mumamodhi. Tarisira kubata zvirinani kwe synthesizability, kwete kungogadzikana kwe thermodynamic, pamwe nekukura mumashini-akadzidzwa interatomic zvinogoneka zvinomhanyisa kuenzanisa kwema molecular padhuze ne-quantum kurongeka asi kukurumidza kukuru, kuvhura zviedzo zvenguva refu uye zvakakura.
Kuzvishandisa
Nei zvichikosha
- Vaka sarudzo. Kushandisa-level dhizaini inosarudza kana AI inovandudza mhedzisiro chaiyo.
- Team uye workflow. Yakanaka workflow kusanganisa inogadzira budiriro inowanikwa vashandisi vanogona kuvimba.
- Ngozi uye kuchengeteka. Makesi ekushandisa akakwenenzverwa anoderedza kupera kuneta uye njodzi yekushandisa.
Chenjera
- Kuita otomatiki nzira yakaputsika inogona kukudza matambudziko aripo.
- Matimu anogona kuwedzera otomatiki uye kubvisa kutonga kunodiwa kwevanhu.
- Hunhu hunogona kudonha kana zvinobuda zvikasaramba zvichiongororwa.
Matanho anotevera
- Mepu mafambiro ebasa uye ratidza danho repamusoro-soro.
- Tsanangura nzvimbo dzekutarisa dzevanhu isati yazara otomatiki.
- Dzidzisa vashandisi pane zvinokurudzira, nzira dzekukwira, uye mhando dzemhando.
- Tevera basa-level zvabuda kuti usimbise kukosha kwakasimba.
Ramba Uchiongorora
Tsamba yemahara
Tora iyo yemazuva ese AI pfupiso
Nhatu dzakasimbiswa dzeAI nyaya mangwanani ega ega pakati pevhiki, dzakanyorwa neChirungu chakajeka. Yemahara zvachose, hapana ads.
Imwe email zuva rega rega revhiki. Bvisa kunyoresa kamwe chete. Hatimbotengese kana kugovera kero yako.
Zviedze iwe pachako
Take the AI in Materials Discovery quiz
Mhinduro yepakarepo pamhinduro yega yega, uye chitupa chinogovaniswa chine ID inobatika kana wapedza kosi.
Tsigira dzidzo yemahara yeAI. AI Understanding ndeye 501(c)(3) isingabatsiri - hapana ads, hapana paywall, zvachose. Ita chipo
Mibvunzo inowanzo bvunzwa
Chii chinonzi AI mune Materials Discovery?
AI inofanotaura kuti ndezvipi zvitsva zvingave zviripo, zvigadzikane, uye zviine zvivakwa zvinobatsira, zvichideredza zvakanyanya kutsvaga kuburikidza nenzvimbo iri pedyo-isingaperi yezvinobvira makomisheni. Izvo zvine basa kumabhatiri, masero ezuva, superconductors, uye catalysts uko kutsvaga zvinhu chaiko kunogona kutora makumi emakore.
Ko girafu neural network inowanzomiririra sei kristaro?
Makristasi akasikwa magirafu: maatomu manodhi uye interatomic bond ari mipendero, zvichiita kuti maGNNs adzidze hukama-humwe hukama.
Ndeipi inononoka fizikisi kuverenga iyo AI surrogates inowanzotsiva yekukurumidza kuongorora?
DFT yakarurama asi inodhura; neural surrogates inofungidzira fungidziro yezvivakwa mumamilliseconds kuratidza vazhinji vanokwikwidza.
Chii chakaita DeepMind's GNoME muna 2023?
GNoME yakafanotaura nhamba huru yemakristasi matsva akatsiga, ichiwedzera zvakanyanya dhatabhesi yezvinhu zvevamiriri.
Sei kutenderera uye kusachinja-chinja kwakakosha mumamodeli emidziyo?
Zvimiro zvemuviri hazvifanirwe kushanduka kana ukatenderedza, kufamba, kana kunyorazve maatomu; kuvaka mune aya masymmetries anovandudza kurongeka uye kugona kwedata.
Chii chinonzi 'self-driving lab' mukuwanikwa kwezvinhu?
Autonomous Labs inovhara loop: AI inokurudzira zvinhu uye marobhoti masisitimu anoagadzira uye anoaratidza, achidyisa mhinduro kumhando.
Ramba uchidzidza
Mazano anoenderana
Mamwe madhairekitori akasarudzirwa nyaya iyi