Zobrazeno 1 - 10
of 2 093
pro vyhledávání: '"P A, Liebman"'
Autor:
Voytan, Dimitri P., Ravula, Sriram, Ardel, Alexandru, Liebman, Elad, Dhara, Arnab, Sen, Mrinal K., Dimakis, Alexandros
Seismic images often contain both coherent and random artifacts which complicate their interpretation. To mitigate these artifacts, we introduce a novel unsupervised deep-learning method based on Deep Image Prior (DIP) which uses convolutional neural
Externí odkaz:
http://arxiv.org/abs/2405.17597
Current approaches to learning cooperative multi-agent behaviors assume relatively restrictive settings. In standard fully cooperative multi-agent reinforcement learning, the learning algorithm controls $\textit{all}$ agents in the scenario, while in
Externí odkaz:
http://arxiv.org/abs/2404.10740
The increasing integration of electric vehicles (EVs) into the grid can pose a significant risk to the distribution system operation in the absence of coordination. In response to the need for effective coordination of EVs within the distribution net
Externí odkaz:
http://arxiv.org/abs/2403.13236
Utility companies are increasingly leveraging residential demand flexibility and the proliferation of smart/IoT devices to enhance the effectiveness of residential demand response (DR) programs through automated device scheduling. However, the adopti
Externí odkaz:
http://arxiv.org/abs/2312.08646
Autor:
Harned, Milena, Liebman, Iris
Let $S$ be a finite subset of ${\mathbb R}^2 \setminus (0,0)$. Generally, one would expect the pattern of lines $Ax + By = 1$, where $(A, B) \in S$ to contain polygons of all shapes and sizes. We show, however, that when $S$ is a rectangular subset o
Externí odkaz:
http://arxiv.org/abs/2312.12447
Autor:
Donoway, E., Trevisan, T. V., Peláez, A. Liebman, Day, R. P., Yamakawa, K., Sun, Y., Soh, J. R., Prabhakaran, D., Boothroyd, A. T., Fernandes, R. M., Analytis, J. G., Moore, J. E., Orenstein, J., Sunko, V.
One of the prime material candidates to host the axion insulator state is EuIn$_{2}$As$_{2}$. First-principles calculations predicted the emergence of this exotic topological phase based on the assumption of a collinear antiferromagnetic structure. H
Externí odkaz:
http://arxiv.org/abs/2310.16018
Effective energy management of electric vehicle (EV) charging stations is critical to supporting the transport sector's sustainable energy transition. This paper addresses the EV charging coordination by considering vehicle-to-vehicle (V2V) energy ex
Externí odkaz:
http://arxiv.org/abs/2308.14111
Autor:
Gao, Bin, Chen, Tong, Huang, Chien-Lung, Qiu, Yiming, Xu, Guangyong, Liebman, Jesse, Chen, Lebing, Stone, Matthew B., Feng, Erxi, Cao, Huibo, Wang, Xiaoping, Xu, Xianghan, Cheong, Sang-Wook, Winter, Stephen M., Dai, Pengcheng
Publikováno v:
Phys. Rev. B 108, 024431 2023
A spin-1/2 triangular-lattice antiferromagnet is a prototypical frustrated quantum magnet, which exhibits remarkable quantum many-body effects that arise from the synergy between geometric spin frustration and quantum fluctuations. It can host quantu
Externí odkaz:
http://arxiv.org/abs/2308.09205
Twisting is a novel technique for creating strongly correlated effects in two-dimensional bilayered materials, and can tunably generate nontrivial topological properties, magnetism, and superconductivity. Magnetism is particularly significant as it c
Externí odkaz:
http://arxiv.org/abs/2307.09506
The increased adoption of electric vehicles (EVs) has led to the development of vehicle-to-anything (V2X) technologies, including vehicle-to-home (V2H), vehicle-to-grid (V2G), and energy trading of EVs in the local grid. The EV coordination can provi
Externí odkaz:
http://arxiv.org/abs/2304.02392