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Marcos F. Calegari Andrade

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • physics.chem-ph2
  • cond-mat.mtrl-sci1
ORCID 0000-0001-8630-7393
same name
  • Marcos F. Calegari Andrade — 2 papers, h 13

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedHigh-Throughput Condensed-Phase Hybrid Density Functional Theory for Large-Scale Finite-Gap Systems: The SeA Approach

11 citations · 11 across the 3 of their papers we have counts for

collaborators

3 papers

physics.chem-ph2024

Molecular Fingerprints of Ice Surfaces in Sum Frequency Generation Spectra: a First Principles Machine Learning Study

Margaret L. Berrens, Marcos F. Calegari Andrade, John T. Fourkas +2

Understanding the molecular-level structure and dynamics of ice surfaces is crucial for deciphering several chemical, physical, and atmospheric processes. Vibrational sum-frequency…

physics.chem-ph2024

Nuclear Quantum Effects on the Electronic Structure of Water and Ice

Margaret Berrens, Arpan Kundu, Marcos F. Calegari Andrade +3

The electronic properties and optical response of ice and water are intricately shaped by their molecular structure, including the quantum mechanical nature of hydrogen atoms. In s…

cond-mat.mtrl-sci2022★ 11 cited

High-Throughput Condensed-Phase Hybrid Density Functional Theory for Large-Scale Finite-Gap Systems: The SeA Approach

Hsin-Yu Ko, Marcos F. Calegari Andrade, Zachary M. Sparrow +2

High-throughput DFT calculations are key to screening existing/novel materials, sampling potential energy surfaces, and generating quantum mechanical data for machine learning. By…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.