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Learning the Use of Artificial Intelligence in Heterogeneous Catalysis

Frontiers in chemical engineering, 2021-10, Vol.3

Bokhimi, Xim

2021

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Atomic and Electronic Properties of a 155 H2S Cluster under Pressure

ACS omega, 2019-06, Vol.4 (6), p.10524-10533

Bokhimi, Xim

2019

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A facile method to increase metal dispersion and hydrogenation activity of Ni/SBA-15 catalysts

Fuel (Guildford), 2017-06, Vol.198, p.110-122

2017

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HDS performance of NiMo catalysts supported on nanostructured materials containing titania

Catalysis today, 2016-08, Vol.271, p.127-139

2016

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Hydroxylated sol–gel Al2O3 as photocatalyst for the degradation of phenolic compounds in presence of UV light

Catalysis today, 2014-03, Vol.220-222, p.49-55

2014

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Effect of Pressure on the Distribution of Electrons in a Cluster of H2S

ACS omega, 2022-11, Vol.7 (46), p.42499-42504

Bokhimi, Xim

2022

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Effect of Pressure on the Distribution of Electrons in a Cluster of H 2 S

ACS omega, 2022-11, Vol.7 (46), p.42499-42504

Bokhimi, Xim

2022

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Crystal-Site-Based Artificial Neural Networks for Material Classification

Crystals (Basel), 2021-09, Vol.11 (9), p.1039

2021

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Evolution of the vibrational spectra of doped hydrogen clusters with pressure

The Journal of chemical physics, 2014-05, Vol.140 (19), p.194301-194301

2014

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Au/Rutile Catalysts: Effect of Support Dimensions on the Gold Crystallite Size and the Catalytic Activity for CO Oxidation

Journal of physical chemistry. C, 2007-10, Vol.111 (42), p.15210-15216

2007

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Dye-Sensitized Solar Cells Prepared with Mexican Pre-Hispanic Dyes

Journal of nanotechnology, 2018-01, Vol.2018 (2018), p.1-8

2018

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Atomic and Electronic Properties of a 155 H 2 S Cluster under Pressure

ACS omega, 2019-06, Vol.4 (6), p.10524-10533

Bokhimi, Xim

2019

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Factorial design for the evaluation of the influence of synthesis parameters upon the textural and structural properties of SBA-15 ordered materials

Microporous and mesoporous materials, 2006-07, Vol.93 (1), p.331-343

2006

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A novel approach for low-temperature synthesis of nanostructured rutile-like Ti1-x Fe x O2 solid solutions

RSC advances, 2024-09, Vol.14 (39), p.28301

2024

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Cortisol controlled release by mesoporous silica

Nanomedicine, 2009-06, Vol.5 (2), p.170-177

2009

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Discovering new perovskites with artificial intelligence

Journal of solid state chemistry, 2020-05, Vol.285, p.121253, Article 121253

2020

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Utilizing Wyckoff Sites to Construct Machine-Learning-Driven Interatomic Potentials for Crystalline Materials: A Case Study on α‑Alumina

Journal of physical chemistry. C, 2024-02, Vol.128 (4), p.1746-1754

2024

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Convolutional Neural Networks to Assist the Assessment of Lattice Parameters from X‑ray Powder Diffraction

The journal of physical chemistry. A, Molecules, spectroscopy, kinetics, environment, & general theory, 2023-09, Vol.127 (36), p.7655-7664

2023

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Rutile-Supported Ir, Au, and Ir−Au Catalysts for CO Oxidation

Journal of physical chemistry. C, 2010-08, Vol.114 (33), p.14101-14109

2010

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A novel approach for low-temperature synthesis of nanostructured rutile-like Ti 1- x Fe x O 2 solid solutions

RSC advances, 2024-09, Vol.14 (39), p.28301-28307

2024

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Dibenzothiophene hydrodesulfurization with NiMo and CoMo catalysts supported on niobium-modified MCM-41

Applied catalysis. B, Environmental, 2017-12, Vol.219, p.479-491

2017

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Modeling X-ray diffractomerers using ray tracing and parallel coprocessors

Acta crystallographica. Section A, Foundations and advances, 2014-08, Vol.70 (a1), p.C1078-C1078

2014

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Crystallite Size and Morphology of the Phases in Au/TiO2 and Au/Ce-TiO2 Catalysts

Journal of physical chemistry. C, 2007-02, Vol.111 (6), p.2525-2532

2007

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Crystallography, artificial intelligence and the interaction between atoms

Acta crystallographica. Section A, Foundations and advances, 2017-12, Vol.73 (a2), p.C888-C888

2017

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Band‐gap assessment from X‐ray powder diffraction using artificial intelligence

Journal of applied crystallography, 2022-12, Vol.55 (6), p.1538-1548

2022

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Learning the Use of Artificial Intelligence in Heterogeneous Catalysis

Atomic and Electronic Properties of a 155 H2S Cluster under Pressure

A facile method to increase metal dispersion and hydrogenation activity of Ni/SBA-15 catalysts

HDS performance of NiMo catalysts supported on nanostructured materials containing titania

Hydroxylated sol–gel Al2O3 as photocatalyst for the degradation of phenolic compounds in presence of UV light

Effect of Pressure on the Distribution of Electrons in a Cluster of H2S

Effect of Pressure on the Distribution of Electrons in a Cluster of H 2 S

Crystal-Site-Based Artificial Neural Networks for Material Classification

Evolution of the vibrational spectra of doped hydrogen clusters with pressure

Au/Rutile Catalysts: Effect of Support Dimensions on the Gold Crystallite Size and the Catalytic Activity for CO Oxidation

Dye-Sensitized Solar Cells Prepared with Mexican Pre-Hispanic Dyes

Atomic and Electronic Properties of a 155 H 2 S Cluster under Pressure

Factorial design for the evaluation of the influence of synthesis parameters upon the textural and structural properties of SBA-15 ordered materials

A novel approach for low-temperature synthesis of nanostructured rutile-like Ti1-x Fe x O2 solid solutions

Cortisol controlled release by mesoporous silica

Discovering new perovskites with artificial intelligence

Utilizing Wyckoff Sites to Construct Machine-Learning-Driven Interatomic Potentials for Crystalline Materials: A Case Study on α‑Alumina

Convolutional Neural Networks to Assist the Assessment of Lattice Parameters from X‑ray Powder Diffraction

Rutile-Supported Ir, Au, and Ir−Au Catalysts for CO Oxidation

A novel approach for low-temperature synthesis of nanostructured rutile-like Ti 1- x Fe x O 2 solid solutions

Dibenzothiophene hydrodesulfurization with NiMo and CoMo catalysts supported on niobium-modified MCM-41

Modeling X-ray diffractomerers using ray tracing and parallel coprocessors

Crystallite Size and Morphology of the Phases in Au/TiO2 and Au/Ce-TiO2 Catalysts

Crystallography, artificial intelligence and the interaction between atoms

Band‐gap assessment from X‐ray powder diffraction using artificial intelligence

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