Zobrazeno 1 - 10
of 32 919
pro vyhledávání: '"Møller P"'
Autor:
Jensen O, Øvlisen AK, Jakobsen LH, Roug AS, Nielsen RE, Marcher CW, Ebbesen Lh, Theilgaard-Mönch K, Møller P, Schöllkopf C, Torp-Pedersen C, El-Galaly TC, Severinsen MT
Publikováno v:
Clinical Epidemiology, Vol Volume 14, Pp 225-237 (2022)
Oda Jensen,1 Andreas Kiesbye Øvlisen,1,2 Lasse Hjort Jakobsen,1,2 Anne Stidsholt Roug,1,2 René Ernst Nielsen,2,3 Claus Werenberg Marcher,4 Lene Hyldahl Ebbesen,5 Kim Theilgaard-Mönch,6 Peter Møller,7 Claudia Schöllkopf,8 Christian Torp-Pedersen,
Externí odkaz:
https://doaj.org/article/82ac92fddce548a5a400e0fed7337687
Autor:
Deng, Hanbin, Liu, Guowei, Guguchia, Z., Yang, Tianyu, Liu, Jinjin, Wang, Zhiwei, Xie, Yaofeng, Shao, Sen, Ma, Haiyang, Liège, William, Bourdarot, Frédéric, Yan, Xiao-Yu, Qin, Hailang, Mielke III, C., Khasanov, R., Luetkens, H., Wu, Xianxin, Chang, Guoqing, Liu, Jianpeng, Christensen, Morten Holm, Kreisel, Andreas, Andersen, Brian Møller, Huang, Wen, Zhao, Yue, Bourges, Philippe, Yao, Yugui, Dai, Pengcheng, Yin, Jia-Xin
Superconductivity and magnetism are antagonistic quantum matter, while their intertwining has long been considered in frustrated-lattice systems1-3. In this work, we utilize scanning tunneling microscopy and muon spin resonance to discover time-rever
Externí odkaz:
http://arxiv.org/abs/2408.02898
Large Language Models are expressive tools that enable complex tasks of text understanding within Computational Social Science. Their versatility, while beneficial, poses a barrier for establishing standardized best practices within the field. To bri
Externí odkaz:
http://arxiv.org/abs/2408.01346
Autor:
Pitfield, Joe, Brix, Florian, Tang, Zeyuan, Slavensky, Andreas Møller, Rønne, Nikolaj, Christiansen, Mads-Peter Verner, Hammer, Bjørk
Universal potentials open the door for DFT level calculations at a fraction of their cost. We find that for application to systems outside the scope of its training data, CHGNet\cite{deng2023chgnet} has the potential to succeed out of the box, but ca
Externí odkaz:
http://arxiv.org/abs/2407.14288
Publikováno v:
J. Chem. Phys. 161, 014713 (2024)
We introduce an atomistic classifier based on a combination of spectral graph theory and a Voronoi tessellation method. This classifier allows for the discrimination between structures from different minima of a potential energy surface, making it a
Externí odkaz:
http://arxiv.org/abs/2407.13471
Autor:
Jørgensen, Uffe G., Amadio, Flavia, Estrada, Beatriz Campos, Møller, Kristian Holten, Schneider, Aaron D., Balduin, Thorsten, D'Alessandro, Azzurra, Symeonidou, Eftychia, Helling, Christiane, Nordlund, Åke, Woitke, Peter
Computation of a grid of self consistent 1D model atmospheres of cool stars, sub-stellar objects and exoplanets in the effective temperature range 300K to 3000K, including cloud formation, chemical non-equilibrium effects, and stellar irradiation. Th
Externí odkaz:
http://arxiv.org/abs/2407.09397
Autor:
Agner, Felix, Jensen, Christian Møller, Rantzer, Anders, Kallesøe, Carsten Skovmose, Wisniewski, Rafal
In this paper we consider calibration of hydraulic models for district heating systems based on operational data. We extend previous theoretical work on the topic to handle real-world complications, namely unknown valve characteristics and hysteresis
Externí odkaz:
http://arxiv.org/abs/2407.01386
Autor:
Schüttelkopf, Philipp, Tajik, Mohammadamin, Bazhan, Nataliia, Cataldini, Federica, Ji, Si-Cong, Schmiedmayer, Jörg, Møller, Frederik
Transport properties play a crucial role in defining materials as insulators, metals, or superconductors. A fundamental parameter in this regard is the Drude weight, which quantify the ballistic transport of charge carriers. In this work, we measure
Externí odkaz:
http://arxiv.org/abs/2406.17569
In the era of Industry 4.0, artificial intelligence (AI) is assuming an increasingly pivotal role within industrial systems. Despite the recent trend within various industries to adopt AI, the actual adoption of AI is not as developed as perceived. A
Externí odkaz:
http://arxiv.org/abs/2406.15784
In the dynamic landscape of contemporary business, the wave in data and technological advancements has directed companies toward embracing data-driven decision-making processes. Despite the vast potential that data holds for strategic insights and op
Externí odkaz:
http://arxiv.org/abs/2407.06199