Zobrazeno 1 - 10
of 198
pro vyhledávání: '"Alessio Gagliardi"'
Publikováno v:
npj Computational Materials, Vol 10, Iss 1, Pp 1-10 (2024)
Abstract Metal-organic frameworks (MOF) are an attractive class of porous materials due to their immense design space, allowing for application-tailored properties. Properties of interest, such as gas sorption, can be predicted in silico with molecul
Externí odkaz:
https://doaj.org/article/d2e97b0c31f24722b4f5af7dfd391676
Autor:
Leon Katzenmeier, Manuel Gößwein, Leif Carstensen, Johannes Sterzinger, Michael Ederer, Peter Müller-Buschbaum, Alessio Gagliardi, Aliaksandr S. Bandarenka
Publikováno v:
Communications Chemistry, Vol 6, Iss 1, Pp 1-8 (2023)
Abstract All-solid-state Li-ion batteries are one of the most promising energy storage devices for future automotive applications as high energy density metallic Li anodes can be safely used. However, introducing solid-state electrolytes needs a bett
Externí odkaz:
https://doaj.org/article/f6d63ea6da354b58bdf50e6d7770a959
Publikováno v:
IEEE Access, Vol 10, Pp 63073-63084 (2022)
The current roadway monitoring is expensive and not systematic. This paper proposes a new system able to evaluate the pavement quality of road infrastructure. The embedded system records and processes the acoustic data of the wheel-road interaction a
Externí odkaz:
https://doaj.org/article/37eb1e129e4f4d4ea4fe90eb6009f09c
Autor:
Felix Mayr, Alessio Gagliardi
Publikováno v:
ACS Omega, Vol 6, Iss 19, Pp 12722-12732 (2021)
Externí odkaz:
https://doaj.org/article/5d4f18aad8534e3c8dca02ef780d2ad3
Autor:
Waldemar Kaiser, Lakshmi N. S. Murthy, Chin‐Lung Chung, Ken‐Tsung Wong, Julia W.P. Hsu, Alessio Gagliardi
Publikováno v:
Advanced Energy & Sustainability Research, Vol 2, Iss 3, Pp n/a-n/a (2021)
Dilute donor organic solar cells (OSCs) are a promising technology to circumvent the trade‐off between open‐circuit voltage (Voc) and short‐circuit current density (Jsc). The origin of hole transport in OSCs with donor concentrations below the
Externí odkaz:
https://doaj.org/article/9641a520d85341bd814601f6dfe0702a
Autor:
Federico Bruno, Alessia Catalucci, Francesco Arrigoni, Alessio Gagliardi, Elena Campanozzi, Antonella Corridore, Emanuele Tommasino, Valeria Pagliei, Leonardo Pertici, Pierpaolo Palumbo, Patrizia Sucapane, Davide Cerone, Francesca Pistoia, Ernesto Di Cesare, Antonio Barile, Alessandro Ricci, Carmine Marini, Alessandra Splendiani, Carlo Masciocchi
Publikováno v:
Brain Sciences, Vol 11, Iss 9, p 1183 (2021)
Objective: To identify possible relevant factors contributing to tremor relapse after MRgFUS thalamotomy in patients with essential tremor (ET) and Parkinson’s disease (PD). Methods: We identified patients with tremor relapse from a series of 79 tr
Externí odkaz:
https://doaj.org/article/5817a0ef476e43f9873689ca53334fee
Autor:
Enrico Gastasini, Niccolò Capecci, Francesco Lupi, Alessio Gagliardi, Sergio Saponara, Michele Lanzetta
Publikováno v:
Sensors, Vol 21, Iss 15, p 5141 (2021)
This paper presents the development of a hardware/software system for the characterization of the electronic response of optical (camera) sensors such as matrix and linear color and monochrome Charge Coupled Device (CCD) or Complementary Metal Oxide
Externí odkaz:
https://doaj.org/article/9be14127616d4091b1f39811554954b0
Autor:
Alessio Gagliardi
Publikováno v:
Storicamente, Vol 14, Iss 1 (2019)
Externí odkaz:
https://doaj.org/article/1784b75227344fb1a314e3db5bad41bb
Autor:
Waldemar Kaiser, Alessio Gagliardi
Publikováno v:
Entropy, Vol 22, Iss 9, p 1013 (2020)
This editorial aims to interest researchers and inspire novel research on the topic of non-equilibrium Thermodynamics and Monte Carlo for Electronic and Electrochemical Processes. We present a brief outline on recent progress and challenges in the st
Externí odkaz:
https://doaj.org/article/bbaca4715ced4234a9dc0ef77463a151
Autor:
Alessio Gagliardi, Sergio Saponara
Publikováno v:
Energies, Vol 13, Iss 8, p 2098 (2020)
This paper proposes a video-based smoke detection technique for early warning in antifire surveillance systems. The algorithm is developed to detect the smoke behavior in a restricted video surveillance environment, both indoor (e.g., railway carriag
Externí odkaz:
https://doaj.org/article/0634071dea7f4263880d9bb41f90bc4c