Teaching Neural Networks to Read Molecules at a Glance
Finding the right molecule among billions of options is like finding a single grain in a sack of rice. To avoid sifting through everything by hand, chemists increasingly turn to neural networks. But large models require powerful computers, while small ones often lack the big picture.
GLACIER tackles this problem like a bright student learning from several mentors at once.