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Journal Photo for eScience
Peer reviewed only Open Access

eScience (eScience)

Publisher : KeAi Communications Co
Renewable Energy Sustainability and the Environment machine learning applications
e-ISSN 2667-1417
p-ISSN 2097-2431
Issue Frequency Continuously
Est. Year 2021
Mobile 31204853911
Language English
APC YES
Email info@elsevier.com

Journal Descriptions

eScience is an international, peer-reviewed, open-access scientific journal published by Elsevier. The journal focuses on publishing high-impact, interdisciplinary research that advances the understanding of complex scientific problems across natural sciences, engineering, data science, and computational research. It provides a platform for innovative studies that integrate experimental, theoretical, and computational approaches. The scope of eScience includes artificial intelligence in science, machine learning applications, data-driven discovery, computational modeling, materials science, chemistry, physics, environmental science, energy systems, and life sciences. It particularly emphasizes research that uses advanced data analytics, big data, and digital technologies to solve real-world scientific and engineering challenges. The journal publishes original research articles, review papers, and methodological studies that introduce new tools, algorithms, and frameworks for scientific discovery. It encourages interdisciplinary collaboration between computer science and traditional scientific disciplines to accelerate innovation. Since its launch in 2021, eScience has aimed to support the global scientific community by providing rapid, open-access dissemination of high-quality research. All articles are freely accessible, promoting wide visibility and knowledge sharing across academia and industry.

eScience (eScience) is :-

  • International, Peer-Reviewed, Open Access, Refereed, Renewable Energy, Sustainability and the Environment, machine learning applications, data-driven discovery, computational modeling, materials science, chemistry, physics, environmental science, energy systems, life sciences, engineering, data science, computational research, It provides a platform for innovative studies that integrate experimental, theoretical, computational approaches , Online or Print , Continuously Journal

  • UGC Approved, ISSN Approved: P-ISSN P-ISSN: 2097-2431, E-ISSN: 2667-1417, Established: 2021,
  • Does Not Provide Crossref DOI
  • Not indexed in Scopus, WoS, DOAJ, PubMed, UGC CARE

Indexing