Zobrazeno 1 - 10
of 10 342
pro vyhledávání: '"P. Heide"'
Autor:
Jiang, Junke, van der Heide, Tammo, Thébaud, Simon, Lien-Medrano, Carlos Raúl, Fihey, Arnaud, Pedesseau, Laurent, Quarti, Claudio, Zacharias, Marios, Volonakis, George, Kepenekian, Mikael, Aradi, Bálint, Sentef, Michael A., Even, Jacky, Katan, Claudine
Density Functional Tight-Binding (DFTB), an approximative approach derived from Density Functional Theory (DFT), has the potential to pave the way for simulations of large periodic or non-periodic systems. We have specifically tailored DFTB parameter
Externí odkaz:
http://arxiv.org/abs/2412.07016
Autor:
Légaré, Katherine, Barrette, Guillaume, Giroux, Laurent, Parent, Jean-Michel, Haddad, Elissa, Ibrahim, Heide, Lassonde, Philippe, Jal, Emmanuelle, Vodungbo, Boris, Lüning, Jan, Boschini, Fabio, Jaouen, Nicolas, Légaré, François
Publikováno v:
Physical Review B, 2024, 109 (9), pp.094407
In the last few decades, ultrafast demagnetization elicited by ultrashort laser pulses has been the subject of a large body of work that aims to better understand and control this phenomenon. Although specific magnetic materials' properties play a ke
Externí odkaz:
http://arxiv.org/abs/2412.04892
Autor:
Choi, Juhyung, Kim, Jinnyeong, Choi, Seokjun, Lee, Jinwoo, Brucker, Samuel, Bijelic, Mario, Heide, Felix, Baek, Seung-Hwan
Achieving robust stereo 3D imaging under diverse illumination conditions is an important however challenging task, due to the limited dynamic ranges (DRs) of cameras, which are significantly smaller than real world DR. As a result, the accuracy of ex
Externí odkaz:
http://arxiv.org/abs/2412.02351
Autor:
Lei, Chenyang, Chen, Liyi, Cen, Jun, Chen, Xiao, Lei, Zhen, Heide, Felix, Chen, Qifeng, Zhang, Zhaoxiang
Foundation models like ChatGPT and Sora that are trained on a huge scale of data have made a revolutionary social impact. However, it is extremely challenging for sensors in many different fields to collect similar scales of natural images to train s
Externí odkaz:
http://arxiv.org/abs/2411.18669
Autor:
Gentile, Marziogiuseppe, Gerlach, Marius, Richter, Robert, van Setten, Michiel J., Petersen, John S., van der Heide, Paul, Holzmeier, Fabian
Publikováno v:
Proc. SPIE 12498, Advances in Patterning Materials and Processes XL, 124980S (30 April 2023)
The dissociative photoionization of \textit{tert}-butyl methyl methacrylate, a monomer unit found in many ESCAP resists, was investigated in a gas phase photoelectron photoion coincidence experiment employing extreme ultraviolet (EUV) synchrotron rad
Externí odkaz:
http://arxiv.org/abs/2411.10177
Autor:
Shi, Jiaojian, Heide, Christian, Xu, Haowei, Huang, Yijing, Shen, Yuejun, Guzelturk, Burak, Henstridge, Meredith, Schön, Carl Friedrich, Mangu, Anudeep, Kobayashi, Yuki, Peng, Xinyue, Zhang, Shangjie, May, Andrew F., Reddy, Pooja Donthi, Shautsova, Viktoryia, Taghinejad, Mohammad, Luo, Duan, Hughes, Eamonn, Brongersma, Mark L., Mukherjee, Kunal, Trigo, Mariano, Heinz, Tony F., Li, Ju, Nelson, Keith A., Baldini, Edoardo, Zhou, Jian, Ghimire, Shambhu, Wuttig, Matthias, Reis, David A., Lindenberg, Aaron M.
Important advances have recently been made in the search for materials with complex multi-phase landscapes that host photoinduced metastable collective states with exotic functionalities. In almost all cases so far, the desired phases are accessed by
Externí odkaz:
http://arxiv.org/abs/2411.10131
We present the first theoretical results on the generation of short-wavelength attosecond vortex beams in semiconductors through their interactions with an intense Laguerre-Gauss beam, in the limit where non-perturbative high-order harmonics are gene
Externí odkaz:
http://arxiv.org/abs/2410.14385
Autor:
Nielsen, Lars Reiter, Heide-Jørgensen, Mads Peter, Garde, Eva, Samson, Adeline, Ditlevsen, Susanne
Signals with varying periodicity frequently appear in real-world phenomena, necessitating the development of efficient modelling techniques to map the measured nonlinear timeline to linear time. Here we propose a regression model that allows for a re
Externí odkaz:
http://arxiv.org/abs/2410.05843
The Cold Posterior Effect (CPE) is a phenomenon in Bayesian Deep Learning (BDL), where tempering the posterior to a cold temperature often improves the predictive performance of the posterior predictive distribution (PPD). Although the term `CPE' sug
Externí odkaz:
http://arxiv.org/abs/2410.05757
Challenging to capture, and challenging to display on a cellphone screen, the panorama paradoxically remains both a staple and underused feature of modern mobile camera applications. In this work we address both of these challenges with a spherical n
Externí odkaz:
http://arxiv.org/abs/2409.17924