Zobrazeno 1 - 10
of 10 668
pro vyhledávání: '"Juan, S."'
Autor:
Zhang, Shiqiang, Feldmann, Christian W., Sandfort, Frederik, Mathea, Miriam, Campos, Juan S., Misener, Ruth
Mixed-integer programming (MIP) is a well-established framework for computer-aided molecular design (CAMD). By precisely encoding the molecular space and score functions, e.g., a graph neural network, the molecular design problem is represented and s
Externí odkaz:
http://arxiv.org/abs/2411.16623
Autor:
Duque, Edgar Mauricio Salazar, van der Holst, Bart, Vergara, Pedro P., Giraldo, Juan S., Nguyen, Phuong H., Van der Molen, Anne, Han, Slootweg
This paper presents the spherical lower dimensional representation for daily medium voltage load profiles, based on principal component analysis. The objective is to unify and simplify the tasks for (i) clustering visualisation, (ii) outlier detectio
Externí odkaz:
http://arxiv.org/abs/2411.14346
Autor:
Nonato, A., Rodríguez-Hernández, Juan S., Abreu, D. S., Soares, C. C. S., Gómez, Mayra A. P., García-Fernández, Alberto, Señarís-Rodríguez, María A., andújar, Manuel Sánchez, Ayala, A. P., Paschoal, C. W. A., da Silva, Rosivaldo Xavier
Hybrid halide perovskites (HHPs) have attracted significant attention due to their remarkable optoelectronic properties that combine the advantages of low cost-effective fabrication methods of organic-inorganic materials. Notably, low-dimensional hyb
Externí odkaz:
http://arxiv.org/abs/2409.08259
Autor:
Rojas-Arias, Juan S., Kojima, Yohei, Takeda, Kenta, Stano, Peter, Nakajima, Takashi, Yoneda, Jun, Noiri, Akito, Kobayashi, Takashi, Loss, Daniel, Tarucha, Seigo
We measure and analyze noise-induced energy-fluctuations of spin qubits defined in quantum dots made of isotopically natural silicon. Combining Ramsey, time-correlation of single-shot measurements, and CPMG experiments, we cover the qubit noise power
Externí odkaz:
http://arxiv.org/abs/2408.13707
Autor:
Wu, Jianchang, Torresi, Luca, Hu, ManMan, Reiser, Patrick, Zhang, Jiyun, Rocha-Ortiz, Juan S., Wang, Luyao, Xie, Zhiqiang, Zhang, Kaicheng, Park, Byung-wook, Barabash, Anastasia, Zhao, Yicheng, Luo, Junsheng, Wang, Yunuo, Lüer, Larry, Deng, Lin-Long, Hauch, Jens A., Seok, Sang Il, Friederich, Pascal, Brabec, Christoph J.
The inverse design of tailored organic molecules for specific optoelectronic devices of high complexity holds an enormous potential, but has not yet been realized1,2. The complexity and literally infinite diversity of conjugated molecular structures
Externí odkaz:
http://arxiv.org/abs/2407.00729
The student-optimal stable mechanism (DA), the most popular mechanism in school choice, is the only one that is both stable and strategy-proof. However, when DA is implemented, a student can change the schools of others without changing her own. We s
Externí odkaz:
http://arxiv.org/abs/2406.01398
Autor:
Duque, Edgar Mauricio Salazar, Giraldo, Juan S., Vergara, Pedro P., Nguyen, Phuong H., Han, Slootweg
In this paper, we present two multidimensional power flow formulations based on a fixed-point iteration (FPI) algorithm to efficiently solve hundreds of thousands of power flows in distribution systems. The presented algorithms are the base for a new
Externí odkaz:
http://arxiv.org/abs/2403.04578
Since graph neural networks (GNNs) are often vulnerable to attack, we need to know when we can trust them. We develop a computationally effective approach towards providing robust certificates for message-passing neural networks (MPNNs) using a Recti
Externí odkaz:
http://arxiv.org/abs/2402.13937
Autor:
Zhang, Shiqiang, Campos, Juan S., Feldmann, Christian, Sandfort, Frederik, Mathea, Miriam, Misener, Ruth
Computer-aided molecular design (CAMD) studies quantitative structure-property relationships and discovers desired molecules using optimization algorithms. With the emergence of machine learning models, CAMD score functions may be replaced by various
Externí odkaz:
http://arxiv.org/abs/2312.03613
Autor:
Lin, Nan, Orfanoudakis, Stavros, Cardenas, Nathan Ordonez, Giraldo, Juan S., Vergara, Pedro P.
Accurate and efficient power flow (PF) analysis is crucial in modern electrical networks' operation and planning. Therefore, there is a need for scalable algorithms that can provide accurate and fast solutions for both small and large scale power net
Externí odkaz:
http://arxiv.org/abs/2311.03415