Jaime A. Lozano

ORCID: 0000-0003-2682-9952
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About
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Research Areas
  • Magnetic and transport properties of perovskites and related materials
  • Magnetic Properties of Alloys
  • Physics of Superconductivity and Magnetism
  • Advanced Thermodynamics and Statistical Mechanics
  • Product Development and Customization
  • Rare-earth and actinide compounds
  • Shape Memory Alloy Transformations
  • Advanced Thermoelectric Materials and Devices
  • Magnetic Bearings and Levitation Dynamics
  • Thermal Expansion and Ionic Conductivity
  • Refrigeration and Air Conditioning Technologies
  • Heat Transfer and Optimization
  • Quality and Supply Management
  • Magnetic Field Sensors Techniques
  • Manufacturing Process and Optimization
  • Magnetic and Electromagnetic Effects
  • Nuclear reactor physics and engineering
  • Electric Motor Design and Analysis
  • Building Energy and Comfort Optimization
  • Design Education and Practice
  • Engineering and Technology Innovations
  • Phase Change Materials Research
  • Gas Sensing Nanomaterials and Sensors
  • Water Quality Monitoring Technologies
  • Fluid Dynamics and Thin Films

Universidade Federal de Santa Catarina
2016-2025

CIC energiGUNE
2024

Technical University of Denmark
2012-2013

Traditionally, designing novel materials involves exploring new compositions guided by insights from previous work, relying on a trial-and-error approach, where continuous synthesis and characterization proceed until the properties meet improvements. This method is inefficient due to challenges of vast chemical spaces. In this study, machine-learning-based methodology developed assist design available data in literature, allowing us test silico more than 1.2 million compositions. Two...

10.1021/acs.jcim.4c01944 article EN cc-by Journal of Chemical Information and Modeling 2025-02-06

Conventional and not-in-kind refrigerators require heat exchangers for their operation. Yet, most magnetic cooling studies do not take full account of those components despite importance in defining the capacity temperature span. To investigate influence exchanger design parameters on performance refrigerators, a model was developed to integrate exchangers, regenerators thermal reservoirs. The results were compared with data generated an apparatus that emulates conditions fluid supplied by...

10.1590/0001-3765202220200563 article EN cc-by Anais da Academia Brasileira de Ciências 2022-01-01

This work presents an evaluation of the thermodynamic performance a magnetic refrigerator prototype developed at Federal University Santa Catarina. Experiments were carried out to determine power consumption system as whole, and its main components (sub-systems) individually. The transmission powers associated with computed from torques required drive each sub-system frequencies between 0.2 1.6 Hz. Thermodynamic efficiency parameters, namely coefficient second-law computed. Maximum values...

10.1080/23744731.2016.1181510 article EN Science and Technology for the Built Environment 2016-05-18
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