Zobrazeno 1 - 10
of 3 502
pro vyhledávání: '"Philippé J"'
Autor:
Cui, Jingjing, de Brouwer, Philippe J. S., Herbert, Steven, Intallura, Philip, Kargi, Cahit, Korpas, Georgios, Krajenbrink, Alexandre, Shoosmith, William, Williams, Ifan, Zheng, Ban
We investigate the feasibility of integrating quantum algorithms as subroutines of simulation-based optimisation problems with relevance to and potential applications in mathematical finance. To this end, we conduct a thorough analysis of all systema
Externí odkaz:
http://arxiv.org/abs/2410.03926
Large Language Models (LLMs) are becoming ubiquitous to create intelligent virtual assistants that assist users in interacting with a system, as exemplified in marketing. Although LLMs have been discussed in Modeling & Simulation (M&S), the community
Externí odkaz:
http://arxiv.org/abs/2409.15290
While Agent-Based Models can create detailed artificial societies based on individual differences and local context, they can be computationally intensive. Modelers may offset these costs through a parsimonious use of the model, for example by using
Externí odkaz:
http://arxiv.org/abs/2409.00824
Autor:
Philippe, J., Elson, F., Casati, M. P. N., Sanz, S., Metzelaars, M., Shliakhtun, O., Forslund, O. K., Lass, J., Shiroka, T., Linden, A., Mazzone, D. G., Ollivier, J., Shin, S., Medarde, M., Lake, B., Mansson, M., Bartkowiak, M., Normand, B., Kögerler, P., Sassa, Y., Janoschek, M., Simutis, G.
Publikováno v:
Phys. Rev. B 110, 094101 (2024)
Low-dimensional quantum magnets are a versatile materials platform for studying the emergent many-body physics and collective excitations that can arise even in systems with only short-range interactions. Understanding their low-temperature structure
Externí odkaz:
http://arxiv.org/abs/2404.08274
Autor:
Phatak, Atharva, Mago, Vijay K., Agrawal, Ameeta, Inbasekaran, Aravind, Giabbanelli, Philippe J.
Publikováno v:
Proceedings of the 57th Hawaii International Conference on System Sciences 2024
The use of generative AI to create text descriptions from graphs has mostly focused on knowledge graphs, which connect concepts using facts. In this work we explore the capability of large pretrained language models to generate text from causal graph
Externí odkaz:
http://arxiv.org/abs/2403.07118
Autor:
Giabbanelli, Philippe J.
The disruptive technology provided by large-scale pre-trained language models (LLMs) such as ChatGPT or GPT-4 has received significant attention in several application domains, often with an emphasis on high-level opportunities and concerns. This pap
Externí odkaz:
http://arxiv.org/abs/2306.13679
Autor:
Simutis, G., Bollhalder, A., Zolliker, M., Küspert, J., Wang, Q., Das, D., Van Leeuwen, F., Ivashko, O., Gutowski, O., Philippe, J., Kracht, T., Glaevecke, P., Adachi, T., Von Zimmermann, M., Van Petegem, S., Luetkens, H., Guguchia, Z., Chang, J., Sassa, Y., Bartkowiak, M., Janoschek, M.
Publikováno v:
Review of Scientific Instruments 94, 013906 (2023)
We present an in-situ uniaxial pressure device optimized for small angle X-ray and neutron scattering experiments at low-temperatures and high magnetic fields. A stepper motor generates force, which is transmitted to the sample via a rod with integra
Externí odkaz:
http://arxiv.org/abs/2207.13194
Autor:
Shang, T., Philippe, J., Zhu, X. Y., Zhang, H., Yu, B. C., Zhen, Z. X., Ott, H. -R., Kitagawa, J., Shiroka, T.
Publikováno v:
Phys. Rev. B 106, 014507 (2022)
We report a comprehensive study of the Zr$_5$Pt$_3$C$_x$ superconductors, with interstitial carbon comprised between 0 and 0.3. At a macroscopic level, their superconductivity, with $T_c$ ranging from 4.5 to 6.3 K, was investigated via electrical-res
Externí odkaz:
http://arxiv.org/abs/2207.00145
Autor:
Philippe, J. -C., Lespinas, A., Faria, J., Forget, A., Colson, D., Houver, S., Cazayous, M., Sacuto, A., Paul, I., Gallais, Y.
Publikováno v:
Phys. Rev. Lett. 129, 187002 (2022)
Anisotropic strain is an external field capable of selectively addressing the role of nematic fluctuations in promoting superconductivity. We demonstrate this using polarization-resolved elasto-Raman scattering to probe the evolution of nematic fluct
Externí odkaz:
http://arxiv.org/abs/2204.12213
Fuzzy Cognitive Maps (FCMs) are computational models that represent how factors (nodes) change over discrete interactions based on causal impacts (weighted directed edges) from other factors. This approach has traditionally been used as an aggregate,
Externí odkaz:
http://arxiv.org/abs/2202.07065