Catalysis in the digital age: Unlocking the power of data with machine learning
The design and discovery of new and improved catalysts are driving forces for accelerating
scientific and technological innovations in the fields of energy conversion, environmental …
scientific and technological innovations in the fields of energy conversion, environmental …
Recent advances in heteroatom-doped/hierarchically porous carbon materials: Synthesis, design and potential applications
Heteroatom-doped porous carbon or hierarchically porous carbon materials (HPCMs) have
been widely used in several fields such as adsorption and separation, organic catalytic …
been widely used in several fields such as adsorption and separation, organic catalytic …
From characterization to discovery: artificial intelligence, machine learning and high-throughput experiments for heterogeneous catalyst design
J Benavides-Hernández, F Dumeignil - ACS Catalysis, 2024 - ACS Publications
This review paper delves into synergistic integration of artificial intelligence (AI) and
machine learning (ML) with high-throughput experimentation (HTE) in the field of …
machine learning (ML) with high-throughput experimentation (HTE) in the field of …
Identification of acetylcholinesterase inhibitors from traditional medicinal plants for Alzheimer's disease using in silico and machine learning approaches
Acetylcholinesterase (AChE) holds significance in Alzheimer's disease (AD), where
cognitive impairment correlates with insufficient acetylcholine levels. AChE's role involves …
cognitive impairment correlates with insufficient acetylcholine levels. AChE's role involves …
InVO4-Decorated Ti3C2 MXene for Efficient Photocatalytic Hydrogen Evolution
The generation of hydrogen through photocatalysis is a fascinating technology for
addressing environmental concerns and the energy crisis. Nevertheless, the quest for cost …
addressing environmental concerns and the energy crisis. Nevertheless, the quest for cost …
Machine learning driven advancements in catalysis for predicting hydrogen evolution reaction activity
In the field of catalysis research, the emergence of machine learning (ML) has triggered a
significant transformation, revolutionizing our methodologies for exploring and …
significant transformation, revolutionizing our methodologies for exploring and …
Emerging ZnO Semiconductors for Photocatalytic CO2 Reduction to Methanol
Carbon recycling is poised to emerge as a prominent trend for mitigating severe climate
change and meeting the rising demand for energy. Converting carbon dioxide (CO2) into …
change and meeting the rising demand for energy. Converting carbon dioxide (CO2) into …
Integrating experimental and machine learning approaches for predictive analysis of photocatalytic hydrogen evolution using Cu/g-C3N4
This study addresses environmental issues like global warming and wastewater generation
by exploring waste-to-energy strategies that produce renewable hydrogen and treat …
by exploring waste-to-energy strategies that produce renewable hydrogen and treat …
[HTML][HTML] Elucidating the local structure and electronic properties of a highly active overall alkaline water splitting NixCo1-xO/hollow carbon sphere catalyst
A Ni x Co 1-x O/HCS catalyst with superior water-splitting is presented. High water-splitting
reaction kinetics and enhanced durability were observed. The structure-function relationship …
reaction kinetics and enhanced durability were observed. The structure-function relationship …
The g-C3N4/CdO heterojunction as an efficient photo-electron catalyst for hydrogen production
Y Shen, P Yuan, Z Yuan, Z Cui, D Ma, F Cheng… - Physica B: Condensed …, 2024 - Elsevier
The electronic, optical, and photo-electro catalytic properties of the gC 3 N 4/CdO
(CGN/CdO) heterojunction are studied by Density Functional Theory (DFT) calculations. The …
(CGN/CdO) heterojunction are studied by Density Functional Theory (DFT) calculations. The …