Zobrazeno 1 - 10
of 15 894
pro vyhledávání: '"Ebel A"'
Publikováno v:
BIO Web of Conferences, Vol 128, p 00018 (2024)
Based on the regional flora studied by the authors (north-western part of the Altai-Sayan floristic province, subdivided into 13 operational botanical-geographical regions), an assessment of the degree of transformation of territories at the level of
Externí odkaz:
https://doaj.org/article/4d15a4d6064e4034a3d07a884ac9c3c3
Cathodoluminescence (CL) microscopy has emerged as a powerful tool for investigating the optical properties of materials at the nanoscale, offering unique insights into the behavior of photonic and plasmonic materials under electron excitation. We in
Externí odkaz:
http://arxiv.org/abs/2411.08738
Autor:
Rosenfelder, Mario, Bold, Lea, Eschmann, Hannes, Eberhard, Peter, Worthmann, Karl, Ebel, Henrik
Advances in machine learning and the growing trend towards effortless data generation in real-world systems has led to an increasing interest for data-inferred models and data-based control in robotics. It seems appealing to govern robots solely base
Externí odkaz:
http://arxiv.org/abs/2411.07192
This article describes condensation of the elements and use of condensation temperatures (Tcond) to interpret the volatility trend of the Earth. Major points are: (1) a listing of updated 50% Tcond for all natural elements and Pu at 1e-2 to 1e-8 bar
Externí odkaz:
http://arxiv.org/abs/2411.01362
Autor:
Ebel, Henrik, van Delden, Jan, Lüddecke, Timo, Borse, Aditya, Gulakala, Rutwik, Stoffel, Marcus, Yadav, Manish, Stender, Merten, Schindler, Leon, de Payrebrune, Kristin Miriam, Raff, Maximilian, Remy, C. David, Röder, Benedict, Eberhard, Peter
Data-based methods have gained increasing importance in engineering, especially but not only driven by successes with deep artificial neural networks. Success stories are prevalent, e.g., in areas such as data-driven modeling, control and automation,
Externí odkaz:
http://arxiv.org/abs/2410.18358
Autor:
Victor, Brandon, Letard, Mathilde, Naylor, Peter, Douch, Karim, Longépé, Nicolas, He, Zhen, Ebel, Patrick
Floods are among the most common and devastating natural hazards, imposing immense costs on our society and economy due to their disastrous consequences. Recent progress in weather prediction and spaceborne flood mapping demonstrated the feasibility
Externí odkaz:
http://arxiv.org/abs/2409.18591
Tensor network renormalization group maps study critical points of 2d lattice models like the Ising model by finding the fixed point of the RG map. In a prior work arXiv:2408.10312 we showed that by adding a rotation to the RG map, the Newton method
Externí odkaz:
http://arxiv.org/abs/2409.13012
Autor:
van Kooten, Elishevah, Brearley, Adrian, Ebel, Denton, Alexander, Conel, Gemma, Marina, Hezel, Dominik
Chondritic components such as chondrules and matrix are the key time capsules that can help us understand the evolution and dynamics of the protoplanetary disk from which the Solar System originated. Knowledge of where and how these components formed
Externí odkaz:
http://arxiv.org/abs/2409.08662
In the tensor network approach to statistical physics, properties of the critical point of a 2D lattice model are encoded by a four-legged tensor which is a fixed point of an RG map. The traditional way to find the fixed point tensor consists in iter
Externí odkaz:
http://arxiv.org/abs/2408.10312
Autor:
Ebel, Austin, Reagen, Brandon
In this paper we show how fully homomorphic encryption (FHE) can be accelerated using a systolic architecture. We begin by analyzing FHE algorithms and then develop systolic or systolic-esque units for each major kernel. Connecting units is challengi
Externí odkaz:
http://arxiv.org/abs/2408.09593