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pro vyhledávání: '"Sanvito P"'
Orbital-free density functional theory promises to deliver linear-scaling electronic structure calculations. This requires the knowledge of the non-interacting kinetic-energy density functional (KEDF), which should be accurate and must admit accurate
Externí odkaz:
http://arxiv.org/abs/2412.08143
Autor:
Gomez, Gibran, van Liebergen, Kevin, Sanvito, Davide, Siracusano, Giuseppe, Gonzalez, Roberto, Caballero, Juan
Abuse reporting services collect reports about abuse victims have suffered. Accurate classification of the submitted reports is fundamental to analyzing the prevalence and financial impact of different abuse types (e.g., sextortion, investment, roman
Externí odkaz:
http://arxiv.org/abs/2410.21041
We employ dynamical mean-field theory (DMFT) combined with density functional theory (DFT) and the non-equilibrium Green's function technique to investigate the steady-state transport properties of an Fe/MgO/Fe magnetic tunnel junction (MTJ), focusin
Externí odkaz:
http://arxiv.org/abs/2410.06679
Vector embeddings derived from large language models (LLMs) show promise in capturing latent information from the literature. Interestingly, these can be integrated into material embeddings, potentially useful for data-driven predictions of materials
Externí odkaz:
http://arxiv.org/abs/2409.11971
Machine-learning models can be trained to predict the converged electron charge density of a density functional theory (DFT) calculation. In general, the value of the density at a given point in space is invariant under global translations and rotati
Externí odkaz:
http://arxiv.org/abs/2408.08876
Autor:
Sanvito, Alberto, Cassina, Silvia, Lamperti, Marco, Notarnicola, Michele N., Olivares, Stefano, Allevi, Alessia
In quantum communication protocols, the use of photon-number-resolving detectors could open new perspectives by broadening the way to encode and decode information, and merging the properties of discrete and continuous variables. In this work, we con
Externí odkaz:
http://arxiv.org/abs/2407.07507
Large Language Models (LLMs) changed the way we design and interact with software systems. Their ability to process and extract information from text has drastically improved productivity in a number of routine tasks. Developers that want to include
Externí odkaz:
http://arxiv.org/abs/2406.12334
Autor:
Simonian, Tigran, Roy, Ahin, Bajaj, Akash, Dong, Rui, Lei, Zheng, Sofer, Zdeněk, Sanvito, Stefano, Nicolosi, Valeria
Thermoelectric materials are of great interest for heat energy harvesting applications. One such promising material is TlGaSe$_{2}$, a p-type semiconducting ternary chalcogenide. Recent reports show it can be processed as a thin film, opening the doo
Externí odkaz:
http://arxiv.org/abs/2405.20739
No augmented application is possible without animated humanoid avatars. At the same time, generating human replicas from real-world monocular hand-held or robotic sensor setups is challenging due to the limited availability of views. Previous work sh
Externí odkaz:
http://arxiv.org/abs/2405.19712
Autor:
Sharma, Abhishek, Sanvito, Stefano
Understanding how structural flexibility affects the properties of metal-organic frameworks (MOFs) is crucial for the design of better MOFs for targeted applications. Flexible MOFs can be studied with molecular dynamics simulations, whose accuracy de
Externí odkaz:
http://arxiv.org/abs/2405.06465