Zobrazeno 1 - 10
of 95
pro vyhledávání: '"Hofgard"'
Autor:
Hofgård, Daniel, Sundkvist, John
In 2017, the Swedish Parliament stated a new climate law with the goal that Sweden should be climate neutral by 2045. The concrete industry has developed a roadmap on how the goal for 2045 can be achieved, where one way to reduce the carbon emissions
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-278216
Autor:
Garg Rocky Bala, Allaire Corentin, Salzburger Andreas, Grasland Hadrien, Tompkins Lauren, Hofgard Elyssa
Publikováno v:
EPJ Web of Conferences, Vol 295, p 03031 (2024)
Particle tracking is among the most sophisticated and complex part of the full event reconstruction chain. A number of reconstruction algorithms work in a sequence to build these trajectories from detector hits. Each of these algorithms use many conf
Externí odkaz:
https://doaj.org/article/997dc06e2a4948d4b7ecfc22d1551819
Autor:
Hofgard, William
We provide a novel uniform convergence guarantee for DeepReach, a deep learning-based method for solving Hamilton-Jacobi-Isaacs (HJI) equations associated with reachability analysis. Specifically, we show that the DeepReach algorithm, as introduced b
Externí odkaz:
http://arxiv.org/abs/2410.02904
3D Euclidean symmetry equivariant neural networks have demonstrated notable success in modeling complex physical systems. We introduce a framework for relaxed $E(3)$ graph equivariant neural networks that can learn and represent symmetry breaking wit
Externí odkaz:
http://arxiv.org/abs/2407.20471
We establish the convergence of the deep Galerkin method (DGM), a deep learning-based scheme for solving high-dimensional nonlinear PDEs, for Hamilton-Jacobi-Bellman (HJB) equations that arise from the study of mean field control problems (MFCPs). Ba
Externí odkaz:
http://arxiv.org/abs/2405.13346
Autor:
Allaire, Corentin, Garg, Rocky Bala, Grasland, Hadrien Benjamin, Hofgard, Elyssa Frances, Rousseau, David, Salahat, Rama, Salzburger, Andreas, Tompkins, Lauren Alexandra
The reconstruction of charged particle trajectories is a crucial challenge of particle physics experiments as it directly impacts particle reconstruction and physics performances. To reconstruct these trajectories, different reconstruction algorithms
Externí odkaz:
http://arxiv.org/abs/2312.05123
Modeling symmetry breaking is essential for understanding the fundamental changes in the behaviors and properties of physical systems, from microscopic particle interactions to macroscopic phenomena like fluid dynamics and cosmic structures. Thus, id
Externí odkaz:
http://arxiv.org/abs/2310.02299
Autor:
Garg, Rocky Bala, Allaire, Corentin, Salzburger, Andreas, Grasland, Hadrien, Tompkins, Lauren, Hofgard, Elyssa
Particle tracking is among the most sophisticated and complex part of the full event reconstruction chain. A number of reconstruction algorithms work in a sequence to build these trajectories from detector hits. These algorithms use many configuratio
Externí odkaz:
http://arxiv.org/abs/2309.12422
Autor:
Zhang, Xuan, Wang, Limei, Helwig, Jacob, Luo, Youzhi, Fu, Cong, Xie, Yaochen, Liu, Meng, Lin, Yuchao, Xu, Zhao, Yan, Keqiang, Adams, Keir, Weiler, Maurice, Li, Xiner, Fu, Tianfan, Wang, Yucheng, Yu, Haiyang, Xie, YuQing, Fu, Xiang, Strasser, Alex, Xu, Shenglong, Liu, Yi, Du, Yuanqi, Saxton, Alexandra, Ling, Hongyi, Lawrence, Hannah, Stärk, Hannes, Gui, Shurui, Edwards, Carl, Gao, Nicholas, Ladera, Adriana, Wu, Tailin, Hofgard, Elyssa F., Tehrani, Aria Mansouri, Wang, Rui, Daigavane, Ameya, Bohde, Montgomery, Kurtin, Jerry, Huang, Qian, Phung, Tuong, Xu, Minkai, Joshi, Chaitanya K., Mathis, Simon V., Azizzadenesheli, Kamyar, Fang, Ada, Aspuru-Guzik, Alán, Bekkers, Erik, Bronstein, Michael, Zitnik, Marinka, Anandkumar, Anima, Ermon, Stefano, Liò, Pietro, Yu, Rose, Günnemann, Stephan, Leskovec, Jure, Ji, Heng, Sun, Jimeng, Barzilay, Regina, Jaakkola, Tommi, Coley, Connor W., Qian, Xiaoning, Qian, Xiaofeng, Smidt, Tess, Ji, Shuiwang
Advances in artificial intelligence (AI) are fueling a new paradigm of discoveries in natural sciences. Today, AI has started to advance natural sciences by improving, accelerating, and enabling our understanding of natural phenomena at a wide range
Externí odkaz:
http://arxiv.org/abs/2307.08423
Particle track reconstruction, in which the trajectories of charged particles are determined, is a critical and time consuming component of the full event reconstruction chain. The underlying software is complex and consists of a number of mathematic
Externí odkaz:
http://arxiv.org/abs/2211.00764