21 to 30 of 82 Results
Nov 3, 2025 - RES Users' Conference 2025
Rocco Ballester, 2025, "Enhancing Optimization with Quantum Annealers: A Focus on Max 3 SAT", https://doi.org/10.82201/FIS6HB, BSC Dataverse, V1
The Max-SAT problem is an optimization problem that involves finding the maximum number of satisfiable clauses in a Boolean formula by assigning truth values to its variables. With the rise of quantum computing, Quantum Annealing offers a promising approach for solving Max-SAT instances. In this study, we evaluate various methods that convert rando... |
Nov 3, 2025 - RES Users' Conference 2025
Iqbal, Mazhar, 2025, "Atomistic Modeling of Corrosion Inhibition: The Role of Oxides", https://doi.org/10.82201/UY2NDS, BSC Dataverse, V1
Corrosion is the degradation of metals through reactions with the atmosphere and has a large economic impact, costing around US$2.5 trillion globally, or 3.4% of GDP. This study aims to realistically model how corrosion inhibitors like 2-mercaptobenzimidazole (MBI) interact with oxidized copper surfaces in water, helping to understand and prevent c... |
Nov 3, 2025 - RES Users' Conference 2025
Montalà Sales, Ricard, 2025, "Active Control of Separated Flows on 3D Wings Using Deep Reinforcement Learning (DRL)", https://doi.org/10.82201/WDY9SR, BSC Dataverse, V1
In this work, deep reinforcement learning (DRL) is applied to active flow control (AFC) over a three-dimensional SD7003 wing at a Reynolds number of Re = 60,000 and angle of attack of AoA = 14◦. In the uncontrolled baseline case, the flow exhibits massive separation and a fully turbulent wake. Using a GPU-accelerated CFD solver and multi-agent trai... |
Nov 3, 2025 - RES Users' Conference 2025
Duró Diaz, Josep Maria, 2025, "Towards an open-access dataset of the flow over realistic urban geometries: high-fidelity simulations and validation", https://doi.org/10.82201/CWCU4Q, BSC Dataverse, V1
This work presents the development of a high-resolution, open-access dataset of urban airflow over a realistic district in Barcelona, based on large-eddy simulations (LES) performed for 16 different wind directions. The simulations are conducted over a highly detailed computational domain that faithfully reproduces the real urban geometry, using gr... |
Nov 3, 2025 - A Decade of DerStandard Forum Interactions
Fraxanet Morales, Emma; Gómez, Vicenç; Kaltenbrunner, Andreas; Pellert, Max, 2025, "(Data Records) A Decade of News Forum Interactions: Threaded Conversations, Signed Votes, and Topical Tags", https://dataverse.bsc.es/dataset.xhtml?persistentId=perma:BSC/P32CXW, BSC Dataverse, V2, UNF:6:MmzkAl6KMTPYXLdJYALuKw== [fileUNF]
This dataset contains the full set of data records described in the "A Decade of News Forum Interactions: Threaded Conversations, Signed Votes, and Topical Tags" publication. It includes the data records for User-level metadata, Comment-level data, Voting behavior, Article metadata, and Pre-computed text embeddings. Additionally, it includes: Annot... |
Nov 3, 2025 - Language Technologies Laboratory
De Luca Fornaciari, Francesca; Aleix Sant Savall; Melero, Maite; Villegas, Marta, 2025, "ES-OC_Parallel_Corpus", https://dataverse.bsc.es/dataset.xhtml?persistentId=perma:BSC/TTRGIC, BSC Dataverse, V2
The ES-OC Parallel Corpus is a synthetic Spanish-Aranese dataset created to support the use of under-resourced languages from Spain, such as Aranese, in NLP tasks, specifically Machine Translation. Aranese is a variant of the Occitan language spoken in the Val d'Aran, Spain, where it is recognised as a co-official language. The dataset can be used... |
Nov 3, 2025 - Language Technologies Laboratory
De Luca Fornaciari, Francesca; Aleix Sant Savall; Melero, Maite; Villegas, Marta, 2025, "ES-AST_Parallel_Corpus", https://dataverse.bsc.es/dataset.xhtml?persistentId=perma:BSC/2BK1NZ, BSC Dataverse, V2
The ES-AST Parallel Corpus is a Spanish-Asturian dataset created to support the use of under-resourced languages from Spain, such as Asturian, in NLP tasks, specifically Machine Translation. This dataset aggregates both synthetic and authentic data, and can be used to train Bilingual Machine Translation models between Asturian and Spanish in any di... |
Nov 3, 2025 - Language Technologies Laboratory
De Luca Fornaciari, Francesca; Aleix Sant Savall; Melero, Maite; Villegas, Marta, 2025, "ES-AN_Parallel_Corpus", https://dataverse.bsc.es/dataset.xhtml?persistentId=perma:BSC/ELCJXZ, BSC Dataverse, V2
The ES-AN Parallel Corpus is a mainly synthetic Spanish-Aragonese dataset created to support the use of under-resourced languages from Spain, such as Aragonese, in NLP tasks, specifically Machine Translation. The dataset can be used to train Bilingual Machine Translation models between Aragonese and Spanish in any direction, as well as Multilingual... |
Nov 3, 2025 - Language Technologies Laboratory
De Luca Fornaciari, Francesca; Melero, Maite; Villegas, Marta; Liao, Xixian, 2025, "CA-ZH_Parallel_Corpus", https://dataverse.bsc.es/dataset.xhtml?persistentId=perma:BSC/MFXKNG, BSC Dataverse, V2
The CA-ZH Parallel Corpus is a Catalan-Chinese textual dataset created to support Catalan in NLP tasks, specifically Machine Translation. The dataset is structured at the sentence level and can be used to train Bilingual Machine Translation models between Chinese and Catalan in any direction, as well as Multilingual Machine Translation models. The... |
Nov 3, 2025 - Language Technologies Laboratory
De Luca Fornaciari, Francesca; Mash, Audrey; Melero, Maite; Villegas, Marta, 2025, "CA-IT_Parallel_Corpus", https://dataverse.bsc.es/dataset.xhtml?persistentId=perma:BSC/BTMN1V, BSC Dataverse, V2
The CA-IT Parallel Corpus is a Catalan-Italian textual dataset created to support Catalan in NLP tasks, specifically Machine Translation. The dataset is structured at the sentence level and can be used to train Bilingual Machine Translation models between Italian and Catalan in any direction, as well as Multilingual Machine Translation models. |
