[HTML][HTML] Unlocking the potential: machine learning applications in electrocatalyst design for electrochemical hydrogen energy transformation
Machine learning (ML) is rapidly emerging as a pivotal tool in the hydrogen energy industry
for the creation and optimization of electrocatalysts, which enhance key electrochemical …
for the creation and optimization of electrocatalysts, which enhance key electrochemical …
Advancements in MXene-based frameworks towards photocatalytic hydrogen production, carbon dioxide reduction and pollutant degradation: Current challenges and …
Abstract The 2D-MXene frameworks (2D-MXene) comprising transition metal carbide,
nitride, is regarded next generation advanced material, that have procured significant …
nitride, is regarded next generation advanced material, that have procured significant …
MXenes and heterostructures-based electrocatalysts for hydrogen evolution reaction: Recent developments and future outlook
The increasing focus on electrocatalysis for sustainable hydrogen (H 2) production has
prompted significant interest in MXenes, a class of two-dimensional (2D) materials …
prompted significant interest in MXenes, a class of two-dimensional (2D) materials …
[HTML][HTML] Electrochemical Properties of MXenes and Applications.
MP Bilibana - Advanced Sensor and Energy Materials, 2023 - Elsevier
MXenes, a two-dimensional transition metal carbide, nitride, and carbonitride family, have
received a lot of interest in recent years due to their unique properties and diverse …
received a lot of interest in recent years due to their unique properties and diverse …
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 …
Accelerating the Discovery of gC3N4-Supported Single Atom Catalysts for Hydrogen Evolution Reaction: A Combined DFT and Machine Learning Strategy
Two-dimensional materials supported by single atom catalysis (SAC) is foreseen to replace
platinum for large-scale industrial scalability of sustainable hydrogen generation. Here, a …
platinum for large-scale industrial scalability of sustainable hydrogen generation. Here, a …
[HTML][HTML] A review on catalyst convergence: Unleashing the potential of MXenes for CO2 electrochemical reduction into high-value liquid product
The electrochemical reduction reaction of carbon dioxide (CO 2-ERR) holds tremendous
potential as a key approach for achieving carbon neutrality by harnessing renewable …
potential as a key approach for achieving carbon neutrality by harnessing renewable …
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 …
[HTML][HTML] Theoretical modelling of the hydrogen evolution reaction on MXenes: A critical review
Abstract MXenes, two-dimensional (2D) transition-metal carbides and nitrides with diverse
compositions and structures, have attracted notable attention due to their potential as …
compositions and structures, have attracted notable attention due to their potential as …