We present and investigate a novel application domain for deep reinforcement learning
(RL): droplet routing on digital microfluidic biochips (DMFBs). A DMFB, composed of a …

Since the inception of digital microfluidics, the synthesis problems of scheduling, placement
and routing have been performed offline (before runtime) due to their algorithmic complexity …

We describe an exciting new application domain for deep reinforcement learning (RL):
droplet routing on digital microfluidic biochips (DMFBs). A DMFB consists of a two …

We introduce an online synthesis flow, focusing primarily on the virtual topology and
operation binder, for digital microfluidic biochips, which will enable real-time response to …

We introduce an online synthesis flow for digital microfluidic biochips, which will enable real-
time response to errors and control flow. The objective of this flow is to facilitate fast assay …

A digital microfluidic biochip (DMFB) is an attractive technology platform for automating
laboratory procedures in biochemistry. However, today's DMFBs suffer from several …

Synthesis of digital microfluidic biochips (DMFBs) is a crucial to the advancement and
realization of miniaturized, automated, programmable biochemistry solutions; synthesis is …

Digital microfluidic biochips (DMFBs) play an important role in the healthcare industry due to
its advantages such as low-cost, portability, and efficiency. According to the recent market …

Drug discovery and development plays an increasing important role in biopharmaceutical
field. However, current drug discovery is slow, expensive, inefficient and error prone. Digital …

Sample preparation is one of essential processes in biochemical reactions. Raw reactants
are diluted in this process to achieve given target concentrations. A bioassay may require …