Sustainable energy generation calls for a shift away from centralized, high-temperature,
energy-intensive processes to decentralized, low-temperature conversions that can be …

Abstract The European Commission have just stated that hydrogen would play a major role
in the economic recovery of post-COVID-19 EU countries. Hydrogen is recognised as one of …

The discovery and development of catalysts and catalytic processes are essential
components to maintaining an ecological balance in the future. Recent revolutions made in …

This review paper delves into synergistic integration of artificial intelligence (AI) and
machine learning (ML) with high-throughput experimentation (HTE) in the field of …

The presence of a dataset that covers a parametric space of materials and process
conditions in a process-consistent manner is essential for the realization of catalyst …

The catalytic oxidative coupling of methane (OCM) to C2 hydrocarbons with oxygen (O2‐
OCM) has garnered renewed worldwide interest in the past decade due to the emergence of …

Designing catalysts is a challenging matter as catalysts are involved with various factors that
impact synthesis, catalysts, reactor and reaction. In order to overcome these difficulties …

High throughput experimentation in heterogeneous catalysis provides an efficient solution to
the generation of large datasets under reproducible conditions. Knowledge extraction from …

Autonomous computations that rely on automated reaction network elucidation algorithms
may pave the way to make computational catalysis on a par with experimental research in …

The use of machine learning (ML) in catalysis has been significantly increased in recent
years due to the astonishing developments in data processing technologies and the …