Topic Editors

Centro de Investigaciones Energeticas, Medioambientales y Tecnologicas, Madrid, Spain
Photonics Engineering Group (GRIFO), Electronics Department, EPS, University of Alcalá, Alcalá de Henares, Spain

Emerging Materials and Technologies for Energy Applications

Abstract submission deadline
30 April 2027
Manuscript submission deadline
30 June 2027
Viewed by
286

Topic Information

Dear Colleagues,

The photovoltaic sector is currently transcending the theoretical efficiency limits of conventional crystalline silicon through the engineering of next-generation semiconductor materials. A primary focus is the development of Perovskite–Silicon tandem architectures, which leverage wide-bandgap perovskite layers to capture the blue-UV spectrum while the silicon bottom cell absorbs infrared light, effectively overcoming the Shockley–Queisser limit.

Beyond tandems, research into novel thin-film absorbers—such as kesterites, organic non-fullerene acceptors, and quantum dots—is critical for achieving high-absorption coefficients and mechanical flexibility. Furthermore, the integration of artificial intelligence is proving transformative, utilizing high-throughput screening to identify stable chemical compositions and predict the long-term durability of material interfaces under environmental stress. These breakthroughs in photoactive layers and charge-transport materials are essential for driving down the Levelized Cost of Energy (LCOE) and achieving global decarbonization.

Topics of Interest: High-Efficiency Photovoltaics

  • Advanced Absorber Synthesis: Development of stable perovskite thin films with optimized grain boundaries and reduced lead content.
  • Tandem Device Engineering: Innovation in recombination layers and optical coupling for multi-junction cells (e.g., Perovskite/CIGS or All-Perovskite tandems).
  • Interface and Transport Layers: Research into hole and electron transport materials (HTM/ETM) to minimize non-radiative recombination and enhance moisture resistance.
  • AI-Enhanced Material Design: Application of machine learning for the rapid discovery of wide-bandgap absorbers and the optimization of thin-film deposition parameters.

Dr. Susana Fernández
Prof. Dr. Fernando B. Naranjo
Topic Editors

Keywords

  • high-performance photoactive materials
  • wide-bandgap perovskite thin-films
  • perovskite–silicon tandem architectures
  • innovative charge-transport interlayers
  • AI-driven high-throughput screening
  • non-radiative recombination mitigation

Participating Journals

Journal Name Impact Factor CiteScore Launched Year First Decision (median) APC
AI Materials
aimater
- - 2026 15.0 days * CHF 1000 Submit
Electronic Materials
electronicmat
- 3.9 2020 27.2 Days CHF 1200 Submit
Energies
energies
3.2 7.3 2008 16.8 Days CHF 2600 Submit
Materials
materials
3.2 6.4 2008 15.5 Days CHF 2600 Submit
Nanoenergy Advances
nanoenergyadv
- 9.0 2021 15.2 Days CHF 1200 Submit
Nanomaterials
nanomaterials
4.3 9.2 2010 14 Days CHF 2400 Submit
Sci
sci
- 5.2 2019 26.7 Days CHF 1400 Submit
Solar
solar
- 4.3 2021 19.8 Days CHF 1200 Submit

* Median value for all MDPI journals in the second half of 2025.


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