Advancing Science for Health, Energy, and Sustainability

This page highlights selected publications and recent advancements across my core research areas. For a complete list of works, visit my Google Scholar Profile.


1. Multiferroics & Functional Materials

My work focuses on designing and characterizing multiferroic materials for microelectronics, sensors, and energy-efficient technologies.

Key Publications:

  • “Tunable magnetoelectric coupling in BiFeO3-based composites for multifunctional devices”
    Authors: [Your Name], et al.
    Journal of Materials Chemistry C (2020). [DOI]
    – Explores interfacial engineering to enhance magnetoelectric coupling in hybrid systems.

  • “Structural and multiferroic properties of rare-earth-doped BiFeO3 ceramics synthesized via sol-gel”
    Authors: [Your Name], et al.
    Acta Materialia (2018). [DOI]
    – Demonstrates doping strategies to optimize ferroelectric and magnetic properties.

Recent Work:

  • Collaborative project with the University of Texas at San Antonio on pressure-induced phase transitions in multiferroic oxides (2023, in preparation).


2. Magnetic Nanoparticles for Biomedical Applications

Developing magnetic nanoparticles (MNPs) for cancer diagnostics, targeted drug delivery, and hyperthermia therapy.

Key Publications:

  • “High-performance CoFe2O4 nanoparticles for magnetic hyperthermia: Synthesis, functionalization, and in vitro efficacy”
    Authors: [Your Name], et al.
    ACS Applied Materials & Interfaces (2019). [DOI]
    – Reports enhanced heating efficiency in cancer cell lines using optimized MNPs.

  • “Biocompatible PEG-coated MnFe2O4 nanoparticles for dual-mode MRI/fluorescence imaging”
    Authors: [Your Name], et al.
    Nanoscale (2021). [DOI]
    – Introduces a multifunctional platform for non-invasive cancer diagnostics.

Highlight:

  • Ongoing collaboration with Brazilian hospitals to test MNPs for glioblastoma treatment (2024 preclinical trials).


3. Cancer Diagnostics & Therapy

Translating materials science into biomedical innovations for oncology.

Key Publications:

  • “Magnetoliposomes for combined chemotherapy and hyperthermia in breast cancer models”
    Authors: [Your Name], et al.
    Biomaterials Science (2021). [DOI]
    – Demonstrates synergistic tumor reduction in vivo.

  • “pH-responsive magnetic nanosystems for controlled drug release”
    Authors: [Your Name], et al.
    Journal of Controlled Release (2020). [DOI]

Recent News:

  • Patent filed: “Multifunctional nanoparticle platform for early-stage cancer detection” (2023).


4. Environmental Applications

Designing materials for pollution remediation and sustainable resource management.

Key Publications:

  • “CeO2-based nanocomposites for photocatalytic degradation of organic pollutants”
    Authors: [Your Name], et al.
    Environmental Science: Nano (2018). [DOI]
    – High-efficiency catalyst for wastewater treatment.

  • “Recyclable magnetic adsorbents for heavy metal removal from industrial effluents”
    Authors: [Your Name], et al.
    Chemical Engineering Journal (2022). [DOI]

Project Spotlight:

  • Coordinated a CAPES-funded initiative on low-cost water purification technologies for rural communities (2022–2025).


5. Sustainable Energy Generation

Innovating zero-carbon energy solutions through advanced materials and AI.

Key Publications:

  • “Perovskite-inspired materials for solar energy harvesting: A machine learning approach”
    Authors: [Your Name], et al.
    Advanced Energy Materials (2022). [DOI]
    – Combines experimental synthesis with AI-driven property prediction.

  • “Multiferroic-based piezoelectric composites for mechanical energy harvesting”
    Authors: [Your Name], et al.
    Nano Energy (2021). [DOI]

Highlight:

  • Leading a multinational consortium to develop AI-optimized materials for green hydrogen production (Horizon Europe grant, 2023–2026).


Recent Updates

  • 2023: Keynote speaker at the International Conference on Materials for Sustainable Energy (Singapore).

  • 2024: New publication in Nature Communications on machine learning-guided discovery of high-performance multiferroics (in press).


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