What is he best known for?
The fields of study he is best known for:
- Mechanical engineering
- Electrical engineering
- Operating system
Placid M. Ferreira mostly deals with Nanotechnology, Electrohydrodynamics, Silicon, Jet and Transfer printing.
His study ties his expertise on Transistor together with the subject of Nanotechnology.
His Electrohydrodynamics research includes themes of Printed electronics, Inkwell, Nozzle and Pulse-width modulation, Voltage.
The Silicon study combines topics in areas such as Nanowire, Wafer, Doping, Elastomer and High-speed photography.
Placid M. Ferreira has included themes like Copolymer, Classical mechanics, Self-assembly, Molecular self-assembly and Scaling in his Jet study.
His studies deal with areas such as Nanoscopic scale, Process, Substrate, Nanostructured materials and Shear as well as Transfer printing.
His most cited work include:
- High-resolution electrohydrodynamic jet printing (959 citations)
- Printed assemblies of inorganic light-emitting diodes for deformable and semitransparent displays. (620 citations)
- Ultrathin silicon solar microcells for semitransparent, mechanically flexible and microconcentrator module designs (536 citations)
What are the main themes of his work throughout his whole career to date?
Placid M. Ferreira focuses on Nanotechnology, Optoelectronics, Transfer printing, Kinematics and Mechanical engineering.
His Nanotechnology research includes elements of Electrolyte, Electrohydrodynamics, Silicon and Stamping.
His studies in Optoelectronics integrate themes in fields like Planar, Thin film, Isotropic etching and Optics.
His Transfer printing research incorporates themes from Elastomer, Substrate and Laser.
His Kinematics study combines topics from a wide range of disciplines, such as Control theory, Control engineering, Machine tool, Microelectromechanical systems and Electronic engineering.
His work carried out in the field of Microelectromechanical systems brings together such families of science as Silicon on insulator and Wafer.
He most often published in these fields:
- Nanotechnology (23.75%)
- Optoelectronics (12.08%)
- Transfer printing (10.42%)
What were the highlights of his more recent work (between 2016-2021)?
- Casting (2.08%)
- Optoelectronics (12.08%)
- Die casting (2.08%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Casting, Optoelectronics, Die casting, Solver and Chemical engineering.
His Optoelectronics research is multidisciplinary, relying on both Nanoscopic scale, Fast ion conductor, Stamping, Planar and Anode.
His Solver course of study focuses on Finite volume method and Genetic algorithm and Surrogate model.
His Chemical engineering research focuses on Copper and how it relates to Polymer, Heat exchanger, Ultrasonic welding, Composite material and Adhesive.
He has researched Lithography in several fields, including Photovoltaics, Porous silicon, Nanotechnology and Solar energy.
The concepts of his Nanotechnology study are interwoven with issues in Domain and Raman spectroscopy.
Between 2016 and 2021, his most popular works were:
- A modular-architecture controller for CNC systems based on open-source electronics (16 citations)
- Composite Structured Surfaces for Durable Dropwise Condensation (8 citations)
- Materials-to-device design of hybrid metal-polymer heat exchanger tubes for low temperature waste heat recovery (8 citations)
In his most recent research, the most cited papers focused on:
- Mechanical engineering
- Electrical engineering
- Operating system
Placid M. Ferreira mainly focuses on Polymer, Heat exchanger, Metal, Waste heat recovery unit and Artificial neural network.
His biological study spans a wide range of topics, including Composite number, Coating, Nano- and Surface energy.
Placid M. Ferreira merges Heat exchanger with Work in his study.
His Metal research is multidisciplinary, incorporating perspectives in Waste heat, Copper, Ultrasonic welding, Composite material and Process engineering.
His research in Waste heat recovery unit intersects with topics in Ensemble forecasting, Control theory, Fouling and Internal pressure.
As a member of one scientific family, Placid M. Ferreira mostly works in the field of Artificial neural network, focusing on Genetic algorithm and, on occasion, Finite volume method and Solver.
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