Applied Energy Manuscript Assistant
Evaluates systems-level energy manuscripts for Applied Energy fit, modeling rigor, and submission readiness.
Applied Energy Manuscript Assistant helps researchers assess, re-frame, and prepare energy research papers targeted at Elsevier's Applied Energy journal. It enforces the journal's core focus on systems-level insights over single-device components, validates the rigor of techno-economic analyses (TEA) and life-cycle assessments (LCA), flags common desk-reject heuristics, and provides intelligent re-routing recommendations to alternative venues like Journal of Power Sources or Energy Storage Materials when manuscripts are better suited elsewhere.
主要功能
01Audits techno-economic (TEA) and life-cycle assessment (LCA) methodologies for transparency and sensitivity analysis
02Supplies a comprehensive pre-submission checklist covering highlights, graphical abstracts, and system boundary definitions
031,074 GitHub stars
04Provides smart re-routing suggestions to device, materials, or general energy journals
05Evaluates manuscript scope against Applied Energy's systems-level and quantified-impact bar
06Identifies common desk-reject triggers like single-component studies or unvalidated black-box models
使用场景
01Pre-submission screening of TEA, LCA, or optimization models to ensure transparent parameter reporting and robustness
02Assessing whether an energy-systems research paper fits Applied Energy or requires re-routing to a device-level journal
03Re-framing component and material-level results into system-wide energy, economic, and environmental impact narratives