output
20132025
most citedBig Data Computing and Clouds: Trends and Future Directions

854 citations

49 papers

cs.HC2025

How People Manage Knowledge in their "Second Brains"- A Case Study with Industry Researchers Using Obsidian

Juliana Jansen Ferreira, Vinícius Segura, Joana Gabriela Souza +1

People face overwhelming information during work activities, necessitating effective organization and management strategies. Even in personal lives, individuals must keep, annotate…

cond-mat.mtrl-sci2025★ 1 cited

TBHubbard: tight-binding and extended Hubbard model database for metal-organic frameworks

Pamela C. Carvalho, Federico Zipoli, Alan C. Duriez +5

Metal-organic frameworks (MOFs) are porous materials composed of metal ions and organic linkers. Due to their chemical diversity, MOFs can support a broad range of applications in…

quant-ph2025★ 2 cited

Scaling active spaces in simulations of surface reactions through sample-based quantum diagonalization

Marco Antonio Barroca, Tanvi Gujarati, Vidushi Sharma +6

Quantum-chemical simulations are essential for predicting energies of chemical reactions. Accurately solving the many-body Schrödinger equation for reagent and product states of mo…

quant-ph2025★ 2 cited

Computing band gaps of periodic materials via sample-based quantum diagonalization

Alan Duriez, Pamela C. Carvalho, Marco Antonio Barroca +7

A key objective of computational solid state physics is to predict electronic properties of periodic materials. However, electronic structure simulations based on density functiona…

cs.LG2024★ 2 cited

Local Off-Grid Weather Forecasting with Multi-Modal Earth Observation Data

Qidong Yang, Jonathan Giezendanner, Daniel Salles Civitarese +8

Urgent applications like wildfire management and renewable energy generation require precise, localized weather forecasts near the Earth's surface. However, forecasts produced by m…

cs.LG2024★ 16 cited

A Large Encoder-Decoder Family of Foundation Models For Chemical Language

Eduardo Soares, Victor Shirasuna, Emilio Vital Brazil +3

Large-scale pre-training methodologies for chemical language models represent a breakthrough in cheminformatics. These methods excel in tasks such as property prediction and molecu…