The main objective of this doctoral thesis is explore the origin of the nanoporous carbons photoactivity for studying their applications in different fields of research covering their use as photocatalysts for pollutants degradation as well as photoelectrodes for water photooxidation reaction, either by themselves or as additives coupled to a semiconductor in hybrid electrodes. The first stage of this study mainly consisted in investigating the photoactivity of carbon materials by themselves (in the absence of semiconductors) towards different reactions, aiming at linking their photochemical response with the carbon material nature in terms of porosity, surface chemistry, composition and structure. The exploration of the photoassisted degradation of phenol nanoconfined in the pore voids of several nanoporous carbons showed a positive effect of the tight packing of the molecule in the carbon material porosity. This indicated the role of confinement to boost fast interactions between the photogenerated charge carriers at carbon material surface and the molecule adsorbed inside pores. The irradiation wavelength was found as a key variable upon phenol photooxidation reaction, with the best optimum performance at low and high wavelengths, and a minimum photodegradation yield at ca. 400 nm for all tested carbon materials. Another parameter strongly influencing the photoactivity of the nanoporous carbons was the surface functionalisation. When sulphur was incorporated to a carbon matrix, the light conversion towards the phenol photooxidation became more efficient and it was dependent on the nature of the S-containing groups. Further on, the analysis of photocurrent transients obtained by irradiating several nanoporous carbon electrodes exhibited different responses, with either anodic or cathodic photocurrent, and transient shapes, thus demonstrating the distinct nature of the catalysed reaction occurring onto electrode/electrolyte interface. The second stage deals with hybrid nanoporous carbon/semiconductor (i.e. WO3) electrodes which allowed to explore the role of nanoporous carbon as additive towards water oxidation reaction. The presence of carbon material had a notable effect on the hybrid electrode performance, in terms of conversion efficiency (IPCE), likely due to the improved collection of the photogenerated electrons by carbon matrix. An optimal amount of carbon additive of ca. 20 wt.% was obtained for the best performing hybrid electrode, with a twofold IPCE compared to that obtained for bare WO3 electrode. The effect of carbon matrix on WO3 performance was found dependent on semiconductor crystalline structure.

Monolithic integration of iontronic devices is a key challenge for future miniaturization and system integration. The G-Cap, a novel iontronic element, is a switchable supercapacitor with gating characteristics comparable to transistors in electronic circuits, but switching relies on ionic currents and ion electroadsorption. The first monolithic in-plane G-Cap integration through 3D-inkjet printing of nanoporous carbon precursors is reported. The printed G-Cap has a three-electrode architecture integrating a symmetric “working” supercapacitor (W-Cap) and a third “gate” electrode (G-electrode) that reversibly depletes/injects electrolyte ions into the system, effectively controlling the “working” capacitance. The symmetric W-Cap operates with a proton-conducting hydrogel electrolyte PVA/H₂SO₄ and shows a high capacitance (1.6 mF cm⁻²) that can be switched “on” and “off” by applying a DC bias potential (-1.0 V) at the G-electrode. This effectively suppresses AC electroadsorption in the nanoporous carbon electrodes of the W-Cap, resulting in a high capacitance drop from an “on” to an “off” state. The new monolithic structures achieve high rate performance, reversible on-off switching with an off-value reaching 0.5 %, which even surpasses recently reported values. Establishing technologies and device architectures for functional ionic electroadsorption devices is crucial for diverse fields ranging from microelectronics and iontronics to biointerfacing and neuromodulation.

L'objectif de la thèse présentée ici est l'optimisation de matériaux carbonésnanoporeux au moyen de la “conception de matériaux virtuels”. En ce qui concerne cette échelle de travail (~ 10nm), la Nanotomographie FIB-SEM est la seule technique d'imagerie donnant accès à une information sur la géométrie tridimensionnelle. Cependant, pour l'optimisation du comportement, l'espace des pores doit être reconstruit à partir des données tirées des images obtenues. Jusqu'à présent ce problème n'était pas résolu. Pour pouvoir le maîtriser, on a développé une simulation d'images FIB-SEM. Les images FIB-SEM simulées peuvent être utilisées pour la vérification et la validation des algorithmes de segmentation. En utilisant les données d'image simulées, un nouvel algorithme pour la reconstruction de l'espace des pores à partir des données FIB-SEM a été développé.Deux études de cas avec des carbones nanoporeux utilisés pour le stockage d'énergie sont présentées, en utilisant les nouvelles techniques pour la caractérisation et l'optimisation des électrodes Li-ion de type EDLC'S (« electric double-layer capacitors », soit supercondensateurs). L'espace des pores reconstruit est modélisé géométriquement à l'aide de la géométrie stochastique. Enfin, on a simulé les propriétés électriques des matériaux enutilisant des structures modélisées et simulées. / The aim of the work presented here is to optimize nanoporous carbon materials by means of 'virtual material design'. On this length scale (~ 10nm) Focused Ion Beam – Scanning Electron Microscopy Nanotomography (FIB-SEM) is the only imaging technique providing three dimensional geometric information. Yet, for the optimization, the pore space of the materials must be reconstructed from the resulting image data, which was a generally unsolved problem so far.To overcome this problem, a simulation method for FIB-SEM images was developed. The resulting synthetic FIB-SEM images could then be used to test and validate segmentation algorithms. Using simulated image data, a new algorithm for the morphological segmentation of the highly porous structures from FIB-SEM data was developed, enabling the reconstruction of the three dimensional pore space from FIB-SEM images.Two case studies with nanoporous carbons used for energy storage are presented, using the new techniques for the characterization and optimization of electrodes of Li-ion batteries and electric double layer capacitors (EDLC's), respectively. The reconstructed pore space is modeled geometrically by means of stochastic geometry. Finally, the electrical properties of the materials were simulated using both imaged real and modeled structures.