Multi-objective Thermodynamic Optimization

Multi-Objective Thermodynamic Optimization is a thermodynamic optimization framework that simultaneously addresses multiple, often conflicting, objective functions—such as efficiency, entropy generation, and power output—within energy systems, distinguished from single-objective approaches by its integration of trade-off analysis and Pareto optimality to identify optimal solutions across competing performance criteria.

326

Publications

16.2K

Citations

1K

Authors

356

Institutions

Publications per year

2017–2026

205

Publications

326

1–5 of 326

Authors

1K

  1. MH
    Mohammad Hossein Ahmadi

    University of Shahrood, Iran

    17 publications · 1.3K citations

    13

    h-index

  2. IJ
    In‐Ho Jung

    McGill University, Canada

    10 publications · 415 citations

    10

    h-index

  3. PA
    Pouria Ahmadi

    University of Tehran, Iran

    8 publications · 833 citations

    8

    h-index

  4. RA
    Rajesh Arora

    Indian Institute of Technology Delhi, India

    9 publications · 413 citations

    7

    h-index

  5. SK
    S.C. Kaushik

    Indian Institute of Technology Delhi, India

    7 publications · 358 citations

    7

    h-index

1–5 of 1K

Venues

  1. Energy Conversion and Management

    53 publications · 3.7K citations

    37

    h-index

  2. Energy

    40 publications · 1.9K citations

    28

    h-index

  3. Applied Thermal Engineering

    28 publications · 1.6K citations

    20

    h-index

  4. International Journal of Hydrogen Energy

    17 publications · 1.1K citations

    16

    h-index

  5. Calphad

    13 publications · 481 citations

    12

    h-index

1–5