A5076364731- Gas Sensing Nanomaterials and Sensors
- Analytical Chemistry and Sensors
- Spectroscopy and Quantum Chemical Studies
- Molecular Junctions and Nanostructures
- Graphene research and applications
- Chalcogenide Semiconductor Thin Films
- Astrophysics and Cosmic Phenomena
- Quantum Dots Synthesis And Properties
- Advanced Chemical Sensor Technologies
- Quantum and electron transport phenomena
- Quantum Information and Cryptography
- Photoreceptor and optogenetics research
- ZnO doping and properties
- Nanowire Synthesis and Applications
- Cloud Computing and Resource Management
- Carbon Nanotubes in Composites
- Advanced Memory and Neural Computing
- Advanced biosensing and bioanalysis techniques
- Acoustic Wave Resonator Technologies
- Advanced Data Storage Technologies
- Radio Astronomy Observations and Technology
- Gyrotron and Vacuum Electronics Research
- Distributed and Parallel Computing Systems
- Computational Physics and Python Applications
- Dark Matter and Cosmic Phenomena
University of Notre Dame
2022-2024
Università Cattolica del Sacro Cuore
2020-2024
University of Padua
2019-2023
KU Leuven
2021
Abstract In modern days, self‐assembled monolayer (SAM) functionalized surfaces represent an interesting tool for the development of ultrasensitive and selective sensing platforms detection chemical substances such as biomolecules gases. The ability SAM to generate different functional groups on a single surface zinc oxide (ZnO) can be used immobilize detect analytes gases, proteins, etc. Herein, ZnO NW‐based sensors are developed acetone exhaled breath analysis. NWs synthesized using...
One of the most recent developments at forefront nanotechnology is attempt to exploit quantum phenomena in nanometer scale materials, exploring novel applications effects. An effective exploitation must necessarily pass through a deep understanding how generate, manipulate, and characterize coherent superposition states nanosystems. However, despite lively interest this topic, study effects nanomaterials still represents relatively unexplored territory. Here we report an investigation on...
A novel strategy for the improvement in sensing performance of p-type NiO is developed by employing unique functional properties self-assembled monolayers. Specifically, hole concentration near surface nanowires (NWs) modulated terminal epoxy groups organosilane. This modulation leads to increase electron transfer from reducing gases NWs surface. As a result, SAM-functionalized sensors showed 9-times higher response at low-temperature as compared bare NWs.
Boosted by the emerging need for highly integrated gas sensors in internet of things (IoT) ecosystems, electronic noses (e-noses) are gaining interest detection specific molecules over a background interfering gases. The sensing nitrogen dioxide is particularly relevant applications environmental monitoring and precision medicine. Here we present an easy efficient functionalization procedure to covalently modify graphene layers, taking advantage diazonium chemistry. Separate layers were...
We are proposing a novel active sensing surface based on mixed-SAMs (APTES and TEOS) functionalized ZnO nanowires (NWs) for selective detection of acetone. showed that superior strategy performance enhancement not only from bare NWs but also homogenous SAM provided suitable mixing ratios were selected. The exhibit high selectivity toward acetone with response value 256 ± 36 (50 ppm) due to the molecular interaction between C═O group terminal—CH3 —NH2 groups SAMs. Indeed, very first time,...
Discerning the impact of coherent motion nuclei on timing and efficiency charge transfer at donor–acceptor interface is essential for designing performance-enhanced optoelectronic devices. Here, we employ an experimental approach using photocurrent detection in multidimensional spectroscopy to excite a donor aromatic macrocycle collect transferred 2D acceptor layer. For this purpose, prepared cobalt phthalocyanine-graphene (CoPc–Gr) interface. Unlike blends, well-ordered architecture...
A novel methyl (–CH 3 )-terminated ZnO nanowire based selective acetone sensor has been developed. The molecular interactions between the terminal –CH group and carbonyl of were found to be main reason behind performance enhancement.
In recent years, it was found that current passing through chiral molecules exhibits spin preference, an effect known as Chiral Induced Spin Selectivity (CISS). The also enables the reduction of scattering and therefore enhances delocalization. As a result, delocalization exciton generated in dots is not symmetric relates to electronic hole excited spins. this work utilizing fast spectroscopy on hybrid multilayered QDs with polypeptide linker system, we probed interdot coupling short time...
With the aim to identify charge transfer channels underlying device development and operation, X-Ray Photoelectron Spectroscopy (XPS), Near-Edge Absorption Fine Structure (NEXAFS), Resonant (ResPES) have been employed characterize a novel heterointerface obtained by controlled evaporation of Nickel Phthalocyanine (NiPc) monolayer on single layer Graphene (Gr) SiC substrate. Indeed, Gr-NiPc interface could be promising candidate for different applications in field photonics, optoelectronics,...
The possibility to increase the efficiency of photovoltaic (PV) cells based on hybrid carbon nanotube (CNT)–Si heterojunctions is related ability control chemical properties CNT–Si interface and CNT bundle layer. In spite encouraging performances PV multiwall (MW) CNT, so far few efforts have been made in study this device compared single wall (SW) interfaces. Here, surface effects current–voltage characteristic curves MW junctions are investigated through exposure HF vapors 10 ppm-NO2...
In the context of modeling spectral energy distributions (SEDs) for blazars, we extend method that uses a convolutional neural network (CNN) to include external inverse Compton processes. The model assumes relativistic electrons within emitting region can interact and up-scatter photon originating from accretion disk, broad-line region, torus, produce observed high-energy emission. We trained CNN on numerical accounts injection electrons, their self-consistent cooling, pair...
Highly sensitive and selective gas-sensing materials are critical for applications ranging from environmental monitoring to breath analysis. A rational approach at the nanoscale is urgent design next-generation sensing devices. In previous work, we unveiled interesting charge transfer channels interface between p-type doped graphene a layer of nickel phthalocyanine (NiPc) molecules, which believe could be successfully exploited in gas Here, have investigated graphene-NiPc interface's...
Modeling the multiwavelength spectral energy distributions (SEDs) of blazars provides key insights into underlying physical processes responsible for emission. While SED modeling with self-consistent models is computationally demanding, it essential a comprehensive understanding these astrophysical objects. We introduce novel, efficient method SEDs by mean convolutional neural network (CNN). In this paper, we trained CNN on leptonic model that incorporates synchrotron and inverse Compton...
The presence of surface defects, such as epoxy and carbonyl groups, is known to control the charge-carrier transport in graphene oxide (GO). In addition, these entities also provide an opportunity synthesize novel hybrid (NH) materials via chemical bonding. These are particularly interesting for sensing they offer properties like larger area improved physical/chemical properties. Herein, we proposing a SiO2@GO–NH based room-temperature (RT) ethanol sensor. NH realized from solution-route by...
We present a processing of the entire archive Swift X-Ray Telescope (XRT) imaging data via novel workload manager called FNC, characterized by its ability to handle very large workloads. In this experiment consists more than 600,000 jobs running in cloud environment. Starting from previously released Swift-DeepSky software pipeline encapsulated into Docker container, we processed on-the-fly ensemble available XRT X-ray images obtained up now (18 years observations). The full analysis...