In recent years, significant progress has been made to ensure that process industries are
among the safest workplaces in the world. However, with the increasing complexity of …

Machine learning (ML) and deep learning (DL) are a subset of artificial intelligence (AI) that
can automatically learn from data and can perform tasks such as predictions and decision …

In this study, novel molecular structure encoding descriptors composed of feature encoding
and one‐hot encoding was developed and then convolutional autoencoder was used to …

Improving the flame retardancy of polymeric materials used in engineering applications is an
increasingly important strategy for limiting fire hazards. However, the wide variety of flame …

Physical hazards of chemical mixtures, associated for example with their fire or explosion
risks, are generally characterized using experimental tools. These tests can be expensive …

Flammable and explosive hazards, which have been well studied, are major safety concerns
in industrial processes. However, the liquid aerosolization phenomenon, which increases …

It is crucial for emergency responders to makes a quick and accurate prediction of toxic
chemical dispersions, which can lead to massive injuries and casualties. In this study, a toxic …

Data driven material research is a hot topic in the cross field of artificial intelligence and
materials science. The core of new material prediction is to find the relationship between …

Lower flammability limit (LFL), upper flammability limit (UFL), auto-ignition temperature (AIT)
and flash point (FP) are crucial hazardous properties for fire and explosion hazards …

Accidental oil spills in the near-shore regions create severe impacts on coastal
environments. The bulk carrier MV Wakashio ran aground off Southeastern Mauritius (SEM) …