Research

 What we do in brief

  • Advanced Electrochemical Energy Systems for Smart Mobility
  • Flexible Wearable Electronics
  • 3D Printing for Electrochemical Devices
  • Advanced Materials for Energy Storage and Conversion
  • 2-Dimensional Materials for Electrocatalysis

Batteries & Supercapacitors


We as a civilization we generate lot of energy but we need to store it to power cars, homes, laptops etc. One option is to store it as electric energy in the form of batteries and supercapacitors. Our research on electrochemical energy storage systems (batteries and supercapacitors) has focused on three interrelated aspects: ranging from the synthesis of active materials (nanostructured 2D materials, metal oxides), electrode fabrication techniques (3D-printing), and advanced characterizations (EQCM-D). We strive to develop eco-friendly and high-performance energy storage systems with profound impact on science and technology. We have developed different surface engineering strategies to functionalize fused deposition modeling (FDM) 3D-printed frameworks for battery and supercapacitor applications.

                                      


Gao W. & Pumera M., Adv. Funct. Mater. 2021

ACS Appl. Energy Mater. 2020, 3, 10, 10261–10269


Artificial Leaves


Excess of electric energy in our electric grids can be also stored in the form of chemical energy – we simply can covert water and CO2 to chemicals such ethanol which allow us to power cars.

The natural photosynthesis process captures sunlight and converts and stores solar energy in the form of chemical energy. Taking inspiration from nature, an artificial leave or photosynthetic system harvests the abundant solar energy as the source to drive the reduction of carbon dioxide into carbon fuels, or water-splitting into hydrogen fuels. Utilizing photo- and electrocatalysts, these electrochemical reactions convert energies to cater to the ever-growing global energy consumption while producing a minimal environmental impact. Our research focuses on developing new types of catalysts and improving the efficiencies of existing catalysts. Our approach includes surface chemistry modification, band-gap engineering, co-catalysis effect, etc., by exploring 2D materials, nanostructures, organic and inorganic semiconductors to tailor efficient photo- and electrocatalysts.

                               


Ng S., Iffelsberger C., Sofer Z., Pumera M., Adv. Funct. Mater. 2020


Flexible electronics


“Have you ever thought of how you can convert your calories into electric energy?”

“Have you ever wondered you can charge your wearable electronics when you walk?”

We are developing smart electronics including self-powered sensors such as motion sensors, gas sensors, and wearables electronics for health care monitoring using novel 2D nanomaterials. The sensors and wearable electronics are based on energy harvesting technologies including triboelectric and piezoelectric effects.

                                     

Jayraj V. Vaghasiya, Carmen C. Mayorga-Martinez, Jan Vyskočil, Zdeněk Sofer, and Martin Pumera, Advanced Functional Materials 2020, 30(39), 2003673

Jose Muñoz, Edurne Redondo, Martin Pumera, Chiral 3D-printed Bioelectrodes Advanced Functional Materials (page number awaiting)


Micromotors


Micro/nanorobots are at the frontier of research in Materials Science and Nanotechnology, exploiting the synergy between the unique physicochemical properties of micro/nanoscale materials and active motion ability. They are powered by chemical fuels or abundant energy sources as light or chemicals in their environment (similarly to bacteria), and programmed to perform complex tasks, finding application in water remediation, biosensing, medicine. We develop micro/nanorobots able to decontaminate water from highly toxic pollutants and plastics, to selectively catch and detect targeting molecules, to travel in our organism to transport/release specific biomolecules or kill cancer cells. Join us to shape our future with micro/nanorobots!

                                                                    


Nature Machine Intelligence volume 2, pages 711–718(2020)
Tijana Maric, Muhammad Zafir Mohamad Nasir, Richard D. Webster, Martin Pumera, Adv. Funct, Mater. 2020