What is he best known for?
The fields of study he is best known for:
- Semiconductor
- Silicon
- Electrical engineering
Tonio Buonassisi focuses on Silicon, Nanotechnology, Optoelectronics, Photovoltaic system and Photovoltaics.
The study incorporates disciplines such as Polymer solar cell and Dissolution in addition to Silicon.
The various areas that Tonio Buonassisi examines in his Nanotechnology study include Organic inorganic, Engineering ethics, Semiconductor, Metal and Process engineering.
His Optoelectronics research includes themes of Layer and Oxide.
His study in Photovoltaic system is interdisciplinary in nature, drawing from both Remote sensors and Solar cell, Crystalline silicon.
His Photovoltaics research includes elements of Perovskite, Scale, Electricity and Solar energy.
His most cited work include:
- 23.6%-efficient monolithic perovskite/silicon tandem solar cells with improved stability (683 citations)
- Promises and challenges of perovskite solar cells (625 citations)
- Semi-transparent perovskite solar cells for tandems with silicon and CIGS (475 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of study are Silicon, Optoelectronics, Solar cell, Photovoltaic system and Photovoltaics.
His Silicon research is classified as research in Metallurgy.
His Optoelectronics study combines topics in areas such as Thin film and Tandem.
His Solar cell research incorporates elements of Grain boundary, Monocrystalline silicon, Annealing and Carrier lifetime.
His Photovoltaic system study often links to related topics such as Nanotechnology.
Tonio Buonassisi works mostly in the field of Photovoltaics, limiting it down to topics relating to Perovskite and, in certain cases, Chemical physics, as a part of the same area of interest.
He most often published in these fields:
- Silicon (44.69%)
- Optoelectronics (37.18%)
- Solar cell (21.98%)
What were the highlights of his more recent work (between 2018-2021)?
- Photovoltaic system (20.15%)
- Photovoltaics (19.41%)
- Perovskite (9.16%)
In recent papers he was focusing on the following fields of study:
Photovoltaic system, Photovoltaics, Perovskite, Optoelectronics and Silicon are his primary areas of study.
His Photovoltaic system study incorporates themes from Solar cell, Process engineering, Cost of electricity by source and Bayesian inference.
His Photovoltaics research is multidisciplinary, incorporating elements of Bayesian network, Electricity, Computational science and Manufacturing cost.
His Perovskite research integrates issues from Chemical physics, Halide, Thin film and Charge carrier.
His Optoelectronics research is multidisciplinary, relying on both Light intensity, Electron beam processing and Current.
Tonio Buonassisi interconnects Wafer and Engineering physics in the investigation of issues within Silicon.
Between 2018 and 2021, his most popular works were:
- An interface stabilized perovskite solar cell with high stabilized efficiency and low voltage loss (184 citations)
- Homogenized halides and alkali cation segregation in alloyed organic-inorganic perovskites. (103 citations)
- Technology and market perspective for indoor photovoltaic cells (67 citations)
In his most recent research, the most cited papers focused on:
- Semiconductor
- Electrical engineering
- Silicon
His scientific interests lie mostly in Perovskite, Photovoltaics, Photovoltaic system, Cost of electricity by source and Charge carrier.
The concepts of his Perovskite study are interwoven with issues in Grain boundary, Halide, Optoelectronics and Thin film.
His work carried out in the field of Photovoltaics brings together such families of science as Electricity, Computational science and Thermal energy storage.
His work deals with themes such as Energy harvesting, Bayesian inference, Process optimization, Voltage and Cost reduction, which intersect with Photovoltaic system.
His studies deal with areas such as Silicon, Process engineering and Manufacturing cost as well as Cost of electricity by source.
He performs integrative study on Silicon and Vicinal.
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