Zobrazeno 1 - 10
of 6 857
pro vyhledávání: '"Rohr P"'
Autor:
Shi, Lifen, Ma, Keyuan, Hou, Jingyu, Ying, Pan, Wang, Ningning, Xiang, Xiaojun, Yang, Pengtao, Yu, Xiaohui, Gou, Huiyang, Sun, Jianping, Uwatoko, Yoshiya, von Rohr, Fabian O., Zhou, Xiang-Feng, Wang, Bosen, Cheng, Jinguang
Compared to traditional superhard materials with high electron density and strong covalent bonds, alloy materials mainly composed of metallic bonding structures typically have great toughness and lower hardness. Breaking through the limits of alloy m
Externí odkaz:
http://arxiv.org/abs/2501.14606
Autor:
Islam, S. S., Sazgari, V., Witteveen, C., Graham, J. N., Gerguri, O., Král, P., Bartkowiak, M., Luetkens, H., Khasanov, R., von Rohr, F. O., Guguchia, Z.
Gaining a deeper understanding of the interplay between charge density wave (CDW) order and superconductivity in transition metal dichalcogenides (TMDs), particularly within the (4H/2H)-NbX$_{2}$ (X=Se,S) family, remains an open and intriguing challe
Externí odkaz:
http://arxiv.org/abs/2412.14381
Autor:
Ronchetti, Federico, Akishina, Valentina, Andreassen, Edvard, Bluhme, Nora, Dange, Gautam, de Cuveland, Jan, Erba, Giada, Gaur, Hari, Hutter, Dirk, Kozlov, Grigory, Krčál, Luboš, La Pointe, Sarah, Lehrbach, Johannes, Lindenstruth, Volker, Neskovic, Gvozden, Redelbach, Andreas, Rohr, David, Weiglhofer, Felix, Wilhelmi, Alexander
Due to the increase of data volumes expected for the LHC Run 3 and Run 4, the ALICE Collaboration designed and deployed a new, energy efficient, computing model to run Online and Offline O$^2$ data processing within a single software framework. The A
Externí odkaz:
http://arxiv.org/abs/2412.13755
Autor:
Walicka, Dorota I., Blacque, Olivier, Gornicka, Karolina, White, Jonathan S., Klimczuk, Tomasz, von Rohr, Fabian O.
The magnetic properties of EuAlSi, a compound comprising a honeycomb lattice of Al and Si atoms and a triangular lattice of Eu atoms, are presented. Moreover, we have prepared the Eu1-xSrxAlSi solid solution, to study the evolution of the collective
Externí odkaz:
http://arxiv.org/abs/2412.12795
Diffusion models have recently gained popularity for policy learning in robotics due to their ability to capture high-dimensional and multimodal distributions. However, diffusion policies are inherently stochastic and typically trained offline, limit
Externí odkaz:
http://arxiv.org/abs/2412.09342
Autor:
Ma, KeYuan, Plokhikh, I., Graham, J. N., Mielke III, C., Sazgari, V., Nakamura, H., Islam, S. S., Shin, S., Kral, P., Gerguri, O., Luetkens, H., von Rohr, F. O., Yin, J. -X., Pomjakushina, E., Felser, C., Nakatsuji, S., Wehinger, B., Gawryluk, D. J., Medvedev, S., Guguchia, Z.
The interplay between superconductivity and charge order is a central focus in condensed matter research, with kagome lattice systems offering unique insights. The kagome superconductor LaRu$_{3}$Si$_{2}$ ($T_{\rm c}$ ${\simeq}$ 6.5 K) exhibits a hie
Externí odkaz:
http://arxiv.org/abs/2412.05459
Autor:
Straub, M., Petocchi, F., Witteveen, C., Kugler, F. B., Hunter, A., Alexanian, Y., Gatti, G., Mandloi, S., Polley, C., Carbone, G., Osiecki, J., von Rohr, F. O., Georges, A., Baumberger, F., Tamai, A.
We study the electronic structure of bulk 1T-TaSe$_2$ in the charge density wave phase at low temperature. Our spatially and angle resolved photoemission (ARPES) data show insulating areas coexisting with metallic regions characterized by a chiral Fe
Externí odkaz:
http://arxiv.org/abs/2411.18205
Publikováno v:
von Rohr, Alexander, Stenger, David, Scheurenberg, Dominik and Trimpe, Sebastian. "Local Bayesian optimization for controller tuning with crash constraints" at - Automatisierungstechnik, vol. 72, no. 4, 2024, pp. 281-292
Controller tuning is crucial for closed-loop performance but often involves manual adjustments. Although Bayesian optimization (BO) has been established as a data-efficient method for automated tuning, applying it to large and high-dimensional search
Externí odkaz:
http://arxiv.org/abs/2411.16267
How can robots learn and adapt to new tasks and situations with little data? Systematic exploration and simulation are crucial tools for efficient robot learning. We present a novel black-box policy search algorithm focused on data-efficient policy i
Externí odkaz:
http://arxiv.org/abs/2411.14246
Autor:
Rohr, Maurice, Dill, Sebastian
Depth cameras are an interesting modality for capturing vital signs such as respiratory rate. Plenty approaches exist to extract vital signs in a controlled setting, but in order to apply them more flexibly for example in multi-camera settings, a sim
Externí odkaz:
http://arxiv.org/abs/2411.10081