5 papers
ViBra: Configuration Interaction for Anharmonic Vibrational Spectroscopy and Quantum-Sampled Configuration Spaces
Raphael F. Ligorio, Marco Antonio Barroca, Alan Duriez +1
Quantum-centric workflows are a promising route to improving the accuracy of property predictions in computational chemistry and materials science. By integrating quantum sampling…
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…
Classification of Transient Astronomical Object Light Curves Using LSTM Neural Networks
Guilherme Grancho D. Fernandes, Marco A. Barroca, Mateus dos Santos +1
This study presents a bidirectional Long Short-Term Memory (LSTM) neural network for classifying transient astronomical object light curves from the Photometric LSST Astronomical T…
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 m…
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…