71 citations · 129 across the 14 of their papers we have counts for
14 papers
Prediction of activity coefficients in water-methanol mixtures using a generalized Debye-Huckel model
Chin-Lung Li, Shu-Yi Chou, Jinn-Liang Liu
We propose a generalized Debye-Huckel model from Poisson-Fermi theory to predict the mean activity coefficient of electrolytes in water-methanol mixtures with arbitrary percentage…
Multi-task UNet architecture for end-to-end autonomous driving
Der-Hau Lee, Jinn-Liang Liu
We propose an end-to-end driving model that integrates a multi-task UNet (MTUNet) architecture and control algorithms in a pipeline of data flow from a front camera through this mo…
End-to-End Deep Learning of Lane Detection and Path Prediction for Real-Time Autonomous Driving
Der-Hau Lee, Jinn-Liang Liu
Inspired by the UNet architecture of semantic image segmentation, we propose a lightweight UNet using depthwise separable convolutions (DSUNet) for end-to-end learning of lane dete…
Differential Capacitance of Electric Double Layers: A Poisson-Bikerman Formula
Ren-Chuen Chen, Chin-Lung Li, Jen-Hao Chen +2
We propose a Poisson-Bikerman (PBik) formula for calculating the differential capacitance (DC) of electrical double layers (EDLs) in aqueous electrolytes or ionic liquids. The PBik…
Molecular Mean-Field Theory of Ionic Solutions: a Poisson-Nernst-Planck-Bikerman Model
Jinn-Liang Liu, Bob Eisenberg
We have developed a molecular mean-field theory -- fourth-order Poisson-Nernst-Planck-Bikerman theory -- for modeling ionic and water flows in biological ion channels by treating i…
Deep Learning and Control Algorithms of Direct Perception for Autonomous Driving
Der-Hau Lee, Kuan-Lin Chen, Kuan-Han Liou +2
Based on the direct perception paradigm of autonomous driving, we investigate and modify the CNNs (convolutional neural networks) AlexNet and GoogLeNet that map an input image to f…
Analysis of Generalized Debye-Hückel Equation from Poisson-Fermi Theory
Chin-Lung Li, Jinn-Liang Liu
The Debye-Hückel equation is a fundamental physical model in chemical thermodynamics that describes the free energy (chemical potential, activity) of an ion in electrolyte solution…
Poisson-Fermi Modeling of Ion Activities in Aqueous Single and Mixed Electrolyte Solutions at Variable Temperature
Jinn-Liang Liu, Bob Eisenberg
The combinatorial explosion of empirical parameters in tens of thousands presents a tremendous challenge for extended Debye-Hückel models to calculate activity coefficients of aque…
A GPU Poisson-Fermi Solver for Ion Channel Simulations
Jen-Hao Chen, Ren-Chuen Chen, Jinn-Liang Liu
The Poisson-Fermi model is an extension of the classical Poisson-Boltzmann model to include the steric and correlation effects of ions and water treated as nonuniform spheres in aq…
Poisson-Fermi Formulation of Nonlocal Electrostatics in Electrolyte Solutions
Jinn-Liang Liu, Dexuan Xie, Bob Eisenberg
We present a nonlocal electrostatic formulation of nonuniform ions and water molecules with interstitial voids that uses a Fermi-like distribution to account for steric and correla…
A Nonlocal Poisson-Fermi Model for Ionic Solvent
Dexuan Xie, Jinn-Liang Liu, Bob Eisenberg +1
We propose a nonlocal Poisson-Fermi model for ionic solvent that includes ion size effects and polarization correlations among water molecules in the calculation of electrostatic p…
Poisson-Fermi Model of Single Ion Activities
Jinn-Liang Liu, Bob Eisenberg
A Poisson-Fermi model is proposed for calculating activity coefficients of single ions in strong electrolyte solutions based on the experimental Born radii and hydration shells of…
Poisson-Nernst-Planck-Fermi Theory for Ion Channels
Jinn-Liang Liu, Bob Eisenberg
A Poisson-Nernst-Planck-Fermi (PNPF) theory is developed for studying ionic transport through biological ion channels. Our goal is to deal with the finite size of particle using a…
Numerical Methods for a Poisson-Nernst-Planck-Fermi Model
Jinn-Liang Liu, Bob Eisenberg
Numerical methods are proposed for an advanced Poisson-Nernst-Planck-Fermi (PNPF) model for studying ion transport through biological ion channels. PNPF contains many more correlat…