A computational study that revealed the interactions between materials from the perovskite and MXenes families may serve as a guide for designing more efficient and durable solar cells. The work was entirely carried out by a team of researchers from the CINE Computational Materials Science division. Perovskites are known for their excellent ability to absorb light and convert it into electricity, while MXenes are famous for their very high efficiency…
A collaboration between CINE researchers and scientists from China and Russia offers a unique perspective on the challenge of integrating perovskite solar cells into the photovoltaic market. In a perspective article recently published in the scientific journal Energy Advances, the authors highlight that the same materials from the perovskite family that degrade rapidly on Earth under moderate environmental conditions exhibit exceptional stability in space under extreme conditions. It is widely…
On March 5th and 6th, the Computational Materials Design (CMD) division at CINE held its first workshop dedicated to artificial intelligence (AI) applied to materials and energy. The event took place in São José dos Campos, at the UNIFESP Technological Park campus, bringing together fifteen CINE members and fourteen external participants, including students, researchers, and professionals from companies. The CMD division works on improving and applying advanced computational tools, including…
Lucia Helena Mascaro Sales is part of the minority group of female scientists who have reached the highest levels of their academic careers. Driven by an endless passion for knowledge and the conviction that science has no gender, she has achieved prominent positions in national and international institutions. Lucia completed her undergraduate (1984), master’s (1988), and doctoral (1992) degrees in chemistry at UFSCar. After working as a postdoctoral researcher at…
Photovoltaic solar energy and wind energy: improvement of perovskite solar cells and optimization of wind turbines.
Development of batteries, supercapacitors, reformers and fuel cells for an efficient management of renewable energy.
Development of sustainable processes for the production of low-carbon hydrogen.
Computer simulations and artificial intelligence for studies on solar cells, wind turbines, green hydrogen production, batteries and supercapacitors.
