7 papers
Chemically Regulated Conical Channel Synapse for Neuromorphic and Sensing Applications
T. M. Kamsma, M. S. Klop, W. Q. Boon +3
Fluidic iontronics offer a unique capability for emulating the chemical processes found in neurons. We extract multiple distinct chemically regulated synaptic features from an expe…
Energy-efficient time series processing in real-time with fluidic iontronic memristor circuits
T. M. Kamsma, Y. Gu, C. Spitoni +3
Iontronic neuromorphic computing has emerged as a rapidly expanding paradigm. The arrival of angstrom-confined iontronic devices enables ultra-low power consumption with dynamics a…
Optical Voltammetry of redox processes inside a nanohole with opto-iontronic microscopy
Zhu Zhang, Haolan Tao, Cheng Lian +2
Cyclic Voltammetry (CV) is the most commonly used method in electrochemistry to characterize electrochemical reactions, usually involving macroscopic electrodes. Here we demonstrat…
Learned Free-Energy Functionals from Pair-Correlation Matching for Dynamical Density Functional Theory
Karnik Ram, Jacobus Dijkman, René van Roij +4
Classical density functional theory (cDFT) and dynamical density functional theory (DDFT) are modern statistical mechanical theories for modeling many-body colloidal systems at the…
Machine learning many-body potentials for charged colloids in primitive 1:1 electrolytes
Thijs ter Rele, Gerardo Campos-Villalobos, René van Roij +1
Effective interactions between charged particles dispersed in an electrolyte are most commonly modeled using the Derjaguin-Landau-Verwey-Overbeek (DLVO) potential, where the ions i…
Neuromorphic Computing with Microfluidic Memristors
Nex C. X. Stuhlmüller, René van Roij, Marjolein Dijkstra
Conical microfluidic channels filled with electrolytes exhibit volatile memristive behavior, offering a promising platform for energy-efficient, neuromorphic computing. Here, we in…