854 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- M. Steiner9 · h 28
- Mathias B. Steiner2 profiles8 · h 8
- M. Engel8 · h 42
- Rodrigo Neumann Barros Ferreira2 profiles7 · h 0
- R. Neumann6 · h 10
- P. Avouris5 · h 127
- M. A. Barroca4 · h 3
- Ronaldo Giro4 · h 12
- Ademir Ferreira da Silva2 profiles3 · h 3
- Benjamin H. Wunsch3 · h 15
- J. Almeida2 profiles3 · h 44
- M. Netto3 · h 23
- IBM (United States)US18 papers
- IBM (Brazil)BR9 papers
- IBM Research - Thomas J. Watson Research CenterUS8 papers
- Universidade Federal do Rio de JaneiroBR7 papers
- IBM Research - AlmadenUS5 papers
- IBM Research - ZurichCH5 papers
- Centro Brasileiro de Pesquisas FísicasBR4 papers
- Universidade de São PauloBR3 papers
- Universidade Federal de Minas GeraisBR3 papers
- Universidade Federal de São CarlosBR3 papers
- University of Illinois Urbana-ChampaignUS3 papers
- Eindhoven University of TechnologyNL2 papers
4 papers · 1 filter
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…
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…
Exploration of Quantum Computing in Materials Discovery for Direct Air Capture Applications
Marco Antonio Barroca, Rodrigo Neumann Barros Ferreira, Mathias Steiner
Direct air capture (DAC) of carbon dioxide is a promising method for mitigating climate change. Solid sorbents, such as metal-organic frameworks, are currently being tested for DAC…
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…