Results 111 to 120 of about 292 (182)

Combined ICP-OES and XPS analysis to evaluate the [AlO₄]⁰ concentration in quartz: limiting the formation temperature of quartz. [PDF]

RSC Adv, 2023
Shen M, Huang M, Lu Z, He X.
europepmc   +1 more source

8-2: Fennoscandian shield — Orogenic gold deposits

Ore Geology Reviews, 2005
Pasi Eilu, Pär Weihed
openaire   +1 more source

The hyper-enrichment of silver through the aggregation of silver sulfide nanoparticles. [PDF]

Nat Commun
Chai M, Williams-Jones AE, Fu W, Li J, Xu C.   +4 more
europepmc   +1 more source

Garnet secondary ion mass spectrometry oxygen isotopes reveal crucial roles of pulsed magmatic fluid and its mixing with meteoric water in lode gold genesis. [PDF]

Proc Natl Acad Sci U S A, 2022
Fan GH, Li JW, Valley JW, Scicchitano MR, Brown PE, Yang JH, Robinson PT, Deng XD, Wu YF, Li ZK, Gao WS, Li SY, Zhao SR.   +12 more
europepmc   +1 more source

Exploration geochemical evidence for the genesis of the Jiaodong gold deposits in eastern China: A case study of the Haiyu gold deposit. [PDF]

Heliyon
Lan R, Zhang L, Song M, Duan Z, Tang S, Li Y, Ma S.   +6 more
europepmc   +1 more source

Integrated ore classification using stand-alone and hybridised machine learning algorithms. [PDF]

Sci Rep
Gholami Vijouyeh A, Kadkhodaie A, Siahcheshm K, Asadi A, Hosseinzadeh M.   +4 more
europepmc   +1 more source

Assessing the impact of Ghana's geology on gold mining using geospatial techniques. [PDF]

Heliyon
Tetteh AT, Issaka Y, Dodoo P, Atugba B, Tengnibuor A.   +4 more
europepmc   +1 more source

Revealing Yukon's hidden treasure: an atomic-scale investigation of Carlin-type gold mineralization in the Nadaleen Trend, Canada. [PDF]

Miner Depos
Gopon P, Sack P, Pinet N, Douglas JO, Jenkins BM, Johnson B, Penny E, Moody MP, Robb L.   +8 more
europepmc   +1 more source

Gold geochemical anomalies delineated by the stratigraphic zoning anomaly lower limit contrast method: a case study of panjiaba, Shaanxi province, China. [PDF]

Sci Rep
Yuekun W, Shaolei K, Jin L, Shangqi L, Chaoran D.   +4 more
europepmc   +1 more source

Mineral prospectivity prediction based on convolutional neural network and ensemble learning. [PDF]

Sci Rep
He H, Zhu H, Yang X, Zhang W, Wang J.
europepmc   +1 more source