Avik Halder

Random forest machine learning models for interpretable X-ray absorption near-edge structure spectrum-property relationships

Biomedically-relevant metal organic framework-hydrogel composites

Interface chemistry of conductive crystalline porous thin films

Novel direct Z-scheme Cu2V2O7/g-C3N4 for visible light photocatalytic conversion of CO2 into valuable fuels

Tuning Selectivity of CO₂ Hydrogenation Reactions at the Metal/Oxide Interface

The wet synthesis and quantification of ligand-free sub-nanometric Au clusters in solid matrices

Metal Catalysts for Heterogeneous Catalysis: From Single Atoms to Nanoclusters and Nanoparticles

Progress and Perspectives of Electrochemical CO₂ Reduction on Copper in Aqueous Electrolyte

Optimum Cu nanoparticle catalysts for CO2 hydrogenation towards methanol

Water electrolysis: from textbook knowledge to the latest scientific strategies and industrial developments

Pyrene-based metal organic frameworks: from synthesis to applications

Recent Advances in Carbon Dioxide Hydrogenation to Methanol via Heterogeneous Catalysis

Growth mechanisms and anisotropic softness–dependent conductivity of orientation-controllable metal–organic framework nanofilms

In Situ/Operando Electrocatalyst Characterization by X-ray Absorption Spectroscopy

Cocatalysts for Selective Photoreduction of CO₂into Solar Fuels

Progress of Nonprecious‐Metal‐Based Electrocatalysts for Oxygen Evolution in Acidic Media

ChatGPT Chemistry Assistant for Text Mining and the Prediction of MOF Synthesis

Cu-based nanocatalysts for electrochemical reduction of CO2

Mapping XANES spectra on structural descriptors of copper oxide clusters using supervised machine learning

Electrochemical behaviour of naked sub-nanometre sized copper clusters and effect of CO₂

Structural reversibility of Cu doped NU-1000 MOFs under hydrogenation conditions

Water Oxidation Catalysis via Size-Selected Iridium Clusters

Copper Cluster Size Effect in Methanol Synthesis from CO₂

Highly efficient Cu-decorated iron oxide nanocatalyst for low pressure CO2 conversion

Subnanometer Substructures in Nanoassemblies Formed from Clusters under a Reactive Atmosphere Revealed Using Machine Learning