Zobrazeno 1 - 10
of 40 073
pro vyhledávání: '"Maia, P."'
Autor:
Jiang, Yi, Petralanda, Urko, Skorupskii, Grigorii, Xu, Qiaoling, Pi, Hanqi, Călugăru, Dumitru, Hu, Haoyu, Xie, Jiaze, Mustaf, Rose Albu, Höhn, Peter, Haase, Vicky, Vergniory, Maia G., Claassen, Martin, Elcoro, Luis, Regnault, Nicolas, Shan, Jie, Mak, Kin Fai, Efetov, Dmitri K., Morosan, Emilia, Kennes, Dante M., Rubio, Angel, Xian, Lede, Felser, Claudia, Schoop, Leslie M., Bernevig, B. Andrei
The study of twisted two-dimensional (2D) materials, where twisting layers create moir\'e superlattices, has opened new opportunities for investigating topological phases and strongly correlated physics. While systems such as twisted bilayer graphene
Externí odkaz:
http://arxiv.org/abs/2411.09741
Autor:
Bracale, Daniele, Maity, Subha, Polo, Felipe Maia, Somerstep, Seamus, Banerjee, Moulinath, Sun, Yuekai
Often in prediction tasks, the predictive model itself can influence the distribution of the target variable, a phenomenon termed performative prediction. Generally, this influence stems from strategic actions taken by stakeholders with a vested inte
Externí odkaz:
http://arxiv.org/abs/2411.08998
Autor:
Sajan, Sandra, Guo, Haojie, Agarwal, Tarushi, Sánchez-Ramírez, Irián, Patra, Chandan, Vergniory, Maia G., de Juan, Fernando, Singh, Ravi Prakash, Ugeda, Miguel M.
The emergence of superconductivity in the octahedrally coordinated (1T) phase of TaS2 is preceded by the intriguing loss of long-range order in the charge density wave (CDW). Such decoherence, attainable by different methods, results in the formation
Externí odkaz:
http://arxiv.org/abs/2411.08200
Artificial Intelligence (AI) has emerged in popularity recently, recording great progress in various industries. However, the environmental impact of AI is a growing concern, in terms of the energy consumption and carbon footprint of Machine Learning
Externí odkaz:
http://arxiv.org/abs/2411.08069
The Dzyaloshinskii-Lifshitz-Pitaevskii (DLP) theory of Casimir forces predicts a repulsion between two material surfaces separated by a third medium with an intermediate dielectric function. This DLP repulsion paradigm constitutes an important exampl
Externí odkaz:
http://arxiv.org/abs/2410.18961
Autor:
Hu, Mengli, Janson, Oleg, Felser, Claudia, McClarty, Paul, Brink, Jeroen van den, Vergniory, Maia G.
Altermagnets are a newly discovered class of magnetic phases that combine the spin polarization behavior of ferromagnetic band structures with the vanishing net magnetization characteristic of antiferromagnets. Initially proposed for collinear magnet
Externí odkaz:
http://arxiv.org/abs/2410.17993
Autor:
Kovács, N., Maia, M. A., Rocha, I. B. C. M., Furtado, C., Camanho, P. P., van der Meer, F. P.
The growing use of composite materials in engineering applications has accelerated the demand for computational methods to accurately predict their complex behavior. Multiscale modeling based on computational homogenization is a potentially powerful
Externí odkaz:
http://arxiv.org/abs/2410.13774
Autor:
Lewis, Harry, Mahtab, Mahsa, Retiere, Fabrice, Croix, Austin De St., Raymond, Kurtis, Henriksson-Ward, Maia, Morrison, Nicholas, Zhang, Aileen, Capra, Andrea, Underwood, Ryan
Accurate characterization of quantum yield is crucial to the reconstruction of energy depositions in silicon at the eV scale. This work presents a new method for experimentally calculating quantum yield using vacuum UV-sensitive silicon photomultipli
Externí odkaz:
http://arxiv.org/abs/2410.13033
Autor:
Shabtay, Nimrod, Polo, Felipe Maia, Doveh, Sivan, Lin, Wei, Mirza, M. Jehanzeb, Chosen, Leshem, Yurochkin, Mikhail, Sun, Yuekai, Arbelle, Assaf, Karlinsky, Leonid, Giryes, Raja
The large-scale training of multi-modal models on data scraped from the web has shown outstanding utility in infusing these models with the required world knowledge to perform effectively on multiple downstream tasks. However, one downside of scrapin
Externí odkaz:
http://arxiv.org/abs/2410.10783
Autor:
Maia, Igor A., Cavalieri, André V. G.
We explore a reduced-order model (ROM) of plane Couette flow with a view to performing turbulence control. The ROM is derived through Galerkin projections of the incompressible Navier-Stokes (NS) system onto a basis composed of controllability modes,
Externí odkaz:
http://arxiv.org/abs/2410.00290