Results 1 to 10 of about 3,407 (258)

Biodiversity and Natural Product Potential of Indonesian Actinomycetes. [PDF]

J Microbiol Biotechnol
Karissa E, Purwaningtyas WE, Akinniyi GA, Kim H, Yang I.   +4 more
europepmc   +1 more source

Updated seismotectonic framework of Abu Dabbab Egypt based on focal mechanisms and stress inversion. [PDF]

Sci Rep
Abdelazim M, Youssef SE, Gaber H, Mohamed GA, Soliman MS, Yassien MH, Hamada M, Elkhouly SH.   +7 more
europepmc   +1 more source

Experimental, Genomic, and Structural Evidence Supporting Putative PET-Hydrolases in Thermophilic Bacteria Isolated From Hot Springs in Cajamarca, Peru. [PDF]

Microbiologyopen
Rivera-Jacinto MA, Rodríguez-Ulloa C, Briones-Ramírez SR, Quispe-Cruz B, Carrasco-Tarrillo S, Leonardo DA, Cardenas JP.   +6 more
europepmc   +1 more source

Vulnerable microbial communities in Atacama-Altiplano wetlands: modern analogs of ancient ecosystems with implications for sustainability and conservation. [PDF]

FEMS Microbes
López-García P, Moreira D, Gutiérrez-Preciado A, López-García JM, López-Archilla AI, Benzerara K, Bertolino P, Eme L, Cubillos CF, Dorador C, Aguilar P.   +10 more
europepmc   +1 more source

Forward Osmosis Technology and Its Application Progress. [PDF]

Membranes (Basel)
Zhang B, Wang R, Wang F.
europepmc   +1 more source

Numerical simulation study on inferring the location of subsurface karst water channels using shallow geothermal field data. [PDF]

PLoS One
Zhang Q, Zeng R, Chen Z, Li Y, Ge W, Lu Y, Qiu J.   +6 more
europepmc   +1 more source

Editorial for the Special Issue "Advances and Applications of Polymer Gels for Subsurface Energy and Storage". [PDF]

Gels
Bai B, Pu J.
europepmc   +1 more source

AI-driven and advanced sensing technologies for subsurface oil exploration. [PDF]

iScience
Firas Ali AM, Kamil Khanjar AS, Azeev AA, Chiadighikaobi PC.   +3 more
europepmc   +1 more source

The Geothermal Artificial Intelligence for geothermal exploration

Renewable Energy, 2022
Exploration of geothermal resources involves analysis and management of a large number of uncertainties, which makes investment and operations decisions challenging. Remote Sensing (RS), Machine Learning (ML) and Artificial Intelligence (AI) have potential in managing the challenges of geothermal exploration.
Şebnem Düzgün, Hilal Soydan, Mahmut Cavur   +2 more
exaly   +2 more sources

Exploration of potential geothermal fields using MAXENT and AHP: A case study of the Büyük Menderes Graben

Geothermics, 2023
Fatih Sári, Ahmet Yıldız
exaly