Tiago F. T. Cerqueira

Center for Inquiry — United States

Materials Science · Physical Sciences

18h-index1.1kcitations58works10.82yr avg
OpenAlex↗ORCID↗Google Scholar↗Lab page↗

Accepting Students?

No reports yet. Know if this professor is taking students?

Research Topics

Machine Learning in Materials Science(22), Inorganic Chemistry and Materials(11), Electronic and Structural Properties of Oxides(7), Advanced Chemical Physics Studies(5), Carbon Nanotubes in Composites(5)

Publications58 total

AI-Driven Expansion and Application of the Alexandria Database
arXiv (Cornell University)·2025Open Access
Ambient pressure high temperature superconductivity in RbPH3 facilitated by ionic anharmonicity
Computational Materials Today·2025· 2 citedOpen Access
In-Architecture X-ray Assisted C–Br Dissociation for On-Surface Fabrication of Nanodiamond Chains
ACS Applied Nano Materials·2025· 2 cited
The maximum Tc of conventional superconductors at ambient pressure
Nature Communications·2025· 10 citedOpen Access
Search for thermodynamically stable ambient-pressure superconducting hydrides in GNoME database
arXiv (Cornell University)·2025Open Access
Enhanced Superconductivity in X <sub>4</sub> H <sub>15</sub> Compounds via Hole‐Doping at Ambient Pressure
Advanced Science·2025Open Access
Author response for "High-throughput study of kagome compounds in the AV&lt;sub&gt;3&lt;/sub&gt;Sb&lt;sub&gt;5&lt;/sub&gt; family"
2025
Author response for "High-throughput study of kagome compounds in the AV&lt;sub&gt;3&lt;/sub&gt;Sb&lt;sub&gt;5&lt;/sub&gt; family"
2025
Enhanced superconductivity in X4H15compounds via hole-doping at ambient pressure
arXiv (Cornell University)·2025Open Access
Theory of Superconductivity in LaRu$_3$Si$_2$ and Predictions of New Kagome Flat Band Superconductors
ArXiv.org·2025· 1 citedOpen Access
High-throughput study of kagome compounds in the AV3Sb5 family
arXiv (Cornell University)·2025Open Access
The Maximum $T_c$ of Conventional Superconductors at Ambient Pressure
arXiv (Cornell University)·2025· 2 citedOpen Access
High-throughput study of kagome compounds in the AV <sub>3</sub> Sb <sub>5</sub> family
Digital Discovery·2025Open Access
Machine-learning accelerated prediction of two-dimensional conventional superconductors
Materials Horizons·2025· 6 citedOpen Access
Ambient pressure high temperature superconductivity in RbPH$_3$ facilitated by ionic anharmonicity
arXiv (Cornell University)·2024· 4 citedOpen Access
In-architecture X-ray assisted C-Br dissociation for on-surface fabrication of diamondoid chains
arXiv (Cornell University)·2024Open Access
Training machine learning interatomic potentials for accurate phonon properties
Machine Learning Science and Technology·2024· 2 citedOpen Access
Improving machine-learning models in materials science through large datasets
Materials Today Physics·2024· 71 citedOpen Access
A non-orthogonal representation of the chemical space
arXiv (Cornell University)·2024Open Access
Searching Materials Space for Hydride Superconductors at Ambient Pressure
Advanced Functional Materials·2024· 56 citedOpen Access
page 1 of 3Next →

Frequent Co-authors

Miguel A. L. Marques(47), Silvana Botti(28), Antonio Sanna(13), Jonathan Schmidt(10), Hai‐Chen Wang(10), Yue‐Wen Fang(9), Ion Errea(9), Rafael Sarmiento-Pérez(8), Maximilian Amsler(7), Stefan Goedecker(6), Noah Hoffmann(5), Pedro Borlido(5), A. San Miguel(5), Wenwen Cui(4), A. Romero(4), Đorđe Dangić(4), Fernando Nogueira(3), Antoine Loew(3), Sabine Körbel(2), Jingming Shi(2)