Estefanía Bello‐Jurado

ORCID: 0000-0002-2052-3680
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About
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Research Areas
  • Catalytic Processes in Materials Science
  • Zeolite Catalysis and Synthesis
  • Ammonia Synthesis and Nitrogen Reduction
  • Metal-Organic Frameworks: Synthesis and Applications
  • Catalysis and Hydrodesulfurization Studies
  • Nanomaterials for catalytic reactions
  • Machine Learning in Materials Science
  • Mesoporous Materials and Catalysis
  • Radioactive element chemistry and processing
  • Chemistry and Chemical Engineering
  • CO2 Reduction Techniques and Catalysts
  • Catalysis and Oxidation Reactions

Consejo Superior de Investigaciones Científicas
2020-2024

Universitat Politècnica de València
2020-2024

Instituto de Tecnología Química
2020-2024

Robert Bosch (Germany)
2022

Selectivity control in zeolite synthesis Zeolites are widely used many industrial applications, but despite decades of research, their still relies on trial-and-error approaches. Complex nucleation mechanisms and topological diversity lead to strong phase competition, complicating the issue rational design synthesis. Using atomistic simulations, literature mining, human-computer interaction, synthesis, characterization, Schwalbe-Koda et al . developed a computational strategy that enables...

10.1126/science.abh3350 article EN Science 2021-09-16

A novel ab initio methodology based on high-throughput simulations has permitted designing unique biselective organic structure-directing agents (OSDAs) that allow the efficient synthesis of CHA/AEI zeolite intergrowth materials with controlled phase compositions. Distinctive local crystallographic ordering intergrowths was revealed at nanoscale level using integrated differential contrast scanning transmission electron microscopy (iDPC STEM). These have been tested for selective catalytic...

10.1002/anie.202201837 article EN cc-by Angewandte Chemie International Edition 2022-05-04

Cu-exchanged zeolites rely on mobile solvated Cu+ cations for their catalytic activity, but the role of framework composition in transport is not fully understood. Ab initio molecular dynamics simulations can provide quantitative atomistic insight are too computationally expensive to explore large length and time scales or diverse compositions. We report a machine-learning interatomic potential that accurately reproduces ab results effectively generalizes allow multinanosecond supercells...

10.1021/acscentsci.3c00870 article EN cc-by ACS Central Science 2023-10-18

We report the one-pot synthesis of a chabazite (CHA)/erionite (ERI)-type zeolite intergrowth structure characterized by adjustable extents enrichment and Si/Al molar ratios. This method utilizes readily synthesizable 6-azaspiro[5.6]dodecan-6-ium as exclusive organic structure-directing agent (OSDA) within potassium-dominant environment. High-throughput simulations were used to accurately determine templating energy molecular shape, facilitating selection an optimally biselective OSDA from...

10.1021/acsami.3c15810 article EN ACS Applied Materials & Interfaces 2024-03-13

The crystallization of Al-rich CHA zeolites with an ultra-low organic structure directing agent (OSDA) content and without using pre-crystallized FAU as Si and/or Al sources has been accomplished by controlling the nucleation step. Indeed, use "gel-type" seeds containing discrete nanosized nanoparticles (i.e. below 100 nm) combined understanding seed-assisted mechanism allowed efficient preparation materials methyltriethylammonium (MTEA) contents (MTEA/Si molar ratios ∼ 0.03–0.04), making...

10.1016/j.micromeso.2024.113071 article EN cc-by-nc Microporous and Mesoporous Materials 2024-03-07

Cu-exchanged zeolites rely on mobile solvated Cu+ cations for their catalytic activity, but the role of framework composition transport is not fully understood. Ab initio molecular dynamics simulations can provide quantitative atomistic insight are too computationally expensive to explore large length- and time-scales or diverse compositions. We report a machine-learning interatomic potential that accurately reproduces ab results effectively generalizes allow multi-nanosecond supercells...

10.48550/arxiv.2305.12896 preprint EN cc-by arXiv (Cornell University) 2023-01-01

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10.2139/ssrn.4690299 preprint EN 2024-01-01

Abstract A novel ab initio methodology based on high‐throughput simulations has permitted designing unique biselective organic structure‐directing agents (OSDAs) that allow the efficient synthesis of CHA/AEI zeolite intergrowth materials with controlled phase compositions. Distinctive local crystallographic ordering intergrowths was revealed at nanoscale level using integrated differential contrast scanning transmission electron microscopy (iDPC STEM). These have been tested for selective...

10.1002/ange.202201837 article EN cc-by Angewandte Chemie 2022-05-04
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