Multimodal tactile sensors that can detect multiple external stimuli in a single device hold
great promise within the domains of wearable technology and robotics. However, accurate …

Multiphase biophysical media are known to be complex structures with continuous high
demand to the scientific community for understanding the relationships and ratios between …

An important application of machine learning techniques is the intelligent nondestructive
testing of polymers. However, data scarcity and class imbalance (for real applications) …

Prediction of liquid holdup is of significance in designing and in evaluating the performance
of trickle bed contactors. The present work focuses on the development of Gradient Boosting …

An artificial neural network (ANN) method is introduced to predict drop size in two kinds of
pulsed columns with small-scale data sets. After training, the deviation between calculate …

For technical application with continuous operation of sorption-enhanced (SE) reactions, eg,
Fischer–Tropsch, a special reactor concept is required. SE processes are promising due to …

There is at least one (and likely many more) moment in life when one wonders about one's
legacy. The question comes in various guises: What have I accomplished? What am I …

Hydrogen (H2) is expected to become a key molecule in the transition towards a society
running on renewable energy. It can be used to store excess renewable energy at peak …

In een wereld die zich steeds meer dient aan te passen aan het gebruik van hernieuwbare
energie, wordt verwacht dat waterstof (H2) een sleutelrol zal spelen om het variabele …