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

854 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing 2023Show all

5 papers · 1 filter

physics.app-ph2023★ 2 cited

Optimizing carbon dioxide trapping for geological storage

Jaione Tirapu Azpiroz, Ronaldo Giro, Rodrigo Neumann Barros Ferreira +8

Carbon dioxide (CO2) trapping in capillary networks of reservoir rocks is a pathway to long-term geological storage. At pore scale, the CO2 trapping potential depends on injection…

quant-ph2023★ 85 cited

Quantum-centric Supercomputing for Materials Science: A Perspective on Challenges and Future Directions

Yuri Alexeev, Maximilian Amsler, Paul Baity +124

Computational models are an essential tool for the design, characterization, and discovery of novel materials. Hard computational tasks in materials science stretch the limits of e…

cond-mat.mtrl-sci2023★ 16 cited

Emission Redshift in DCM2-Doped Alq Caused by Non-Linear Stark Shifts and Förster-Mediated Exciton Diffusion

Graziâni Candiotto, Ronaldo Giro, Bruno A. C. Horta +5

Organic light-emitting diodes (OLEDs) devices in the archetype small molecule fluorescent guest-host system tris(8-hydroxyquinolinato) aluminum (Alq) doped with 4-(dicyanomet…

eess.IV2023★ 7 cited

Image-Based Soil Organic Carbon Remote Sensing from Satellite Images with Fourier Neural Operator and Structural Similarity

Ken C. L. Wong, Levente Klein, Ademir Ferreira da Silva +3

Soil organic carbon (SOC) sequestration is the transfer and storage of atmospheric carbon dioxide in soils, which plays an important role in climate change mitigation. SOC concentr…

cs.CE2023★ 8 cited

Discovery of Novel Reticular Materials for Carbon Dioxide Capture using GFlowNets

Flaviu Cipcigan, Jonathan Booth, Rodrigo Neumann Barros Ferreira +2

Artificial intelligence holds promise to improve materials discovery. GFlowNets are an emerging deep learning algorithm with many applications in AI-assisted discovery. By using GF…