Search
Now showing items 1-10 of 10
An Innovative Approach for the Generation of Species of the Interstellar Medium
(Wiley, 2021-11-08)
[EN]The large amount of unstable species in the realm of interstellar chemistry drives an urgent need to develop efficient methods for the in situ generations of molecules that enable their spectroscopic characterizations. ...
Experimental implementation of precisely tailored light-matter interaction via inverse engineering
(Springer Nature Limited, 2021-09-14)
Accurate and efficient quantum control in the presence of constraints and decoherence is a requirement and a challenge in quantum information processing. Shortcuts to adiabaticity, originally proposed to speed up the slow ...
Shape of Testosterone
(American Chemical Society, 2021-07-29)
We have successfully characterized the structure of testosterone, one of the essential steroids, through high-resolution rotational spectroscopy. A single conformer has been detected, and a total of 404 transitions have ...
Laser-induced highly oriented pyrolytic graphite for high-performance screen-printed electrodes
(Royal Society of Chemistry, 2021-09-21)
Screen-printed carbon electrodes (SPCEs) are enjoying increasing popularity in different electrochemistry areas, from electroanalysis to energy storage and power generation. Highly oriented pyrolytic graphite (HOPG), an ...
Energetic study of ultrasonic wettability enhancement
(Elsevier, 2021-11)
[EN]Many industrial and biological interfacial processes, such as welding and breathing depend directly on wettability and surface tension phenomena. The most common methods to control the wettability are based on modifying ...
Experimental Semi-Autonomous Eigensolver Using Reinforcement Learning
(Nature, 2021-06-10)
The characterization of observables, expressed via Hermitian operators, is a crucial task in quantum mechanics. For this reason, an eigensolver is a fundamental algorithm for any quantum technology. In this work, we implement ...
Speeding up quantum perceptron via shortcuts to adiabaticity
(Springer Nature, 2021-03-11)
The quantum perceptron is a fundamental building block for quantum machine learning. This is a multidisciplinary field that incorporates abilities of quantum computing, such as state superposition and entanglement, to ...
Green Alternative Cosolvents to N-Methyl-2-Pyrrolidone in Water Polyurethane Dispersions
(Royal Society Of Chemistry, 2021-06-05)
N-Methyl-2-pyrrolidone is a toxic dipolar aprotic solvent widely used in the synthesis of polyurethane dispersions (PUD). Since legislation strongly restricts this substance, green alternatives are essential. Dihydrolevo ...
The Role of Non-Covalent Interactions on Cluster Formation: Pentamer, Hexamers and Heptamer of Difluoromethane
(Wiley, 2021-07-26)
The role of non-covalent interactions (NCIs) has broadened with the inclusion of new types of interactions and a plethora of weak donor/acceptor partners. This work illustrates the potential of chirped-pulse Fourier transform ...
Toward Pricing Financial Derivatives with an IBM Quantum Computer
(American Physical Society, 2021-02-22)
Pricing interest-rate financial derivatives is a major problem in finance, in which it is crucial to accurately reproduce the time evolution of interest rates. Several stochastic dynamics have been proposed in the literature ...