Zobrazeno 1 - 10
of 13 821
pro vyhledávání: '"Andreas G."'
Autor:
Berli MC; Hospital Limmattal, Schlieren, Switzerland.
Publikováno v:
The Journal of bone and joint surgery. American volume [J Bone Joint Surg Am] 2023 Dec 20; Vol. 105 (24), pp. e58. Date of Electronic Publication: 2023 Dec 20.
Autor:
Koronaki, Eleni D., Suntaxi, Geremy Loachamin, Papavasileiou, Paris, Giovanis, Dimitrios G., Kathrein, Martin, Boudouvis, Andreas G., Bordas, Stéphane P. A.
Important variables of processes are, in many occasions, categorical, i.e. names or labels representing, e.g. categories of inputs, or types of reactors or a sequence of steps. In this work, we use Large Language Models (LLMs) to derive embeddings of
Externí odkaz:
http://arxiv.org/abs/2409.19097
It is expected that continuum spacetime emerges via phase transition in the tensorial group field theory (TGFT) approach to quantum gravity. Recent work on the application of Landau-Ginzburg mean-field theory to progressively realistic TGFT models ha
Externí odkaz:
http://arxiv.org/abs/2407.02325
Autor:
Chen, Zihao, Xiao, Zhili, Akl, Mahmoud, Leugring, Johannes, Olajide, Omowuyi, Malik, Adil, Dennler, Nik, Harper, Chad, Bose, Subhankar, Gonzalez, Hector A., Eshraghian, Jason, Pignari, Riccardo, Urgese, Gianvito, Andreou, Andreas G., Shankar, Sadasivan, Mayr, Christian, Cauwenberghs, Gert, Chakrabartty, Shantanu
We introduce NeuroSA, a neuromorphic architecture specifically designed to ensure asymptotic convergence to the ground state of an Ising problem using an annealing process that is governed by the physics of quantum mechanical tunneling using Fowler-N
Externí odkaz:
http://arxiv.org/abs/2406.05224
Autor:
Suntaxi, Geremy Loachamín, Papavasileiou, Paris, Koronaki, Eleni D., Giovanis, Dimitrios G., Gakis, Georgios, Aviziotis, Ioannis G., Kathrein, Martin, Pozzetti, Gabriele, Czettl, Christoph, Bordas, Stéphane P. A., Boudouvis, Andreas G.
This work introduces a comprehensive approach utilizing data-driven methods to elucidate the deposition process regimes in Chemical Vapor Deposition (CVD) reactors and the interplay of physical mechanism that dominate in each one of them. Through thi
Externí odkaz:
http://arxiv.org/abs/2405.18444
Autor:
Papavasileiou, Paris, Giovanis, Dimitrios G., Pozzetti, Gabriele, Kathrein, Martin, Czettl, Christoph, Kevrekidis, Ioannis G., Boudouvis, Andreas G., Bordas, Stéphane P. A., Koronaki, Eleni D.
This study introduces a machine learning framework tailored to large-scale industrial processes characterized by a plethora of numerical and categorical inputs. The framework aims to (i) discern critical parameters influencing the output and (ii) gen
Externí odkaz:
http://arxiv.org/abs/2405.07751
Autor:
Vitolo, Paola, Psaltakis, George, Tomlinson, Michael, Licciardo, Gian Domenico, Andreou, Andreas G.
This paper investigates the use of Large Language Models (LLMs) for automating the generation of hardware description code, aiming to explore their potential in supporting and enhancing the development of efficient neuromorphic computing architecture
Externí odkaz:
http://arxiv.org/abs/2405.01419
Publikováno v:
J. High Energ. Phys. (JHEP) 2024, 50 (2024)
We continue the series of articles on the application of Landau-Ginzburg mean-field theory to unveil the basic phase structure of tensorial field theories which are characterized by combinatorially non-local interactions. Among others, this class cov
Externí odkaz:
http://arxiv.org/abs/2404.04524
Autor:
Ivar John Erdal
Publikováno v:
Norsk Medietidsskrift, Vol 25, Pp 1-3 (2018)
Externí odkaz:
https://doaj.org/article/7c01db41f9e84e28bdd96d8694f72b7c