Reid C. Van Lehn

Reid C. Van Lehn

University of Wisconsin-Madison

H-index: 25

North America-United States

About Reid C. Van Lehn

Reid C. Van Lehn, With an exceptional h-index of 25 and a recent h-index of 22 (since 2020), a distinguished researcher at University of Wisconsin-Madison, specializes in the field of Molecular simulation, nano-bio interactions, soft materials, lipid bilayers, membrane proteins.

His recent articles reflect a diverse array of research interests and contributions to the field:

A Novel Solvent‐Based Recycling Technology: From Theory to Pilot Plant

Ligand Lipophilicity Determines Molecular Mechanisms of Nanoparticle Adsorption to Lipid Bilayers

Elucidating Molecular-Scale Principles Governing the Anchoring of Liquid Crystal Mixtures on Solid Surfaces

Recycling of a post-industrial printed multilayer plastic film containing polyurethane inks by solvent-targeted recovery and precipitation

Scalable extraction of information from spatiotemporal patterns of chemoresponsive liquid crystals using topological descriptors

Uncertainty Quantification for Molecular Property Predictions with Graph Neural Architecture Search

Topological analysis of molecular dynamics simulations using the euler characteristic

An Explainable Classification Framework for Determining and Understanding the Suitability of Solvent Extraction for Bioproduct Recovery

Reid C. Van Lehn Information

University

Position

Conway Assistant Professor of Chemical and Biological Engineering

Citations(all)

2281

Citations(since 2020)

1681

Cited By

1148

hIndex(all)

25

hIndex(since 2020)

22

i10Index(all)

45

i10Index(since 2020)

44

Email

University Profile Page

Google Scholar

Reid C. Van Lehn Skills & Research Interests

Molecular simulation

nano-bio interactions

soft materials

lipid bilayers

membrane proteins

Top articles of Reid C. Van Lehn

A Novel Solvent‐Based Recycling Technology: From Theory to Pilot Plant

Technology Innovation for the Circular Economy: Recycling, Remanufacturing, Design, Systems Analysis and Logistics

2024/3/29

Ligand Lipophilicity Determines Molecular Mechanisms of Nanoparticle Adsorption to Lipid Bilayers

ACS nano

2024/2/14

Elucidating Molecular-Scale Principles Governing the Anchoring of Liquid Crystal Mixtures on Solid Surfaces

ACS nano

2023/11/7

Recycling of a post-industrial printed multilayer plastic film containing polyurethane inks by solvent-targeted recovery and precipitation

Resources, Conservation and Recycling

2023/10/1

Scalable extraction of information from spatiotemporal patterns of chemoresponsive liquid crystals using topological descriptors

The Journal of Physical Chemistry C

2023/8/4

Uncertainty Quantification for Molecular Property Predictions with Graph Neural Architecture Search

arXiv preprint arXiv:2307.10438

2023/7/19

Topological analysis of molecular dynamics simulations using the euler characteristic

Journal of Chemical Theory and Computation

2023/2/22

An Explainable Classification Framework for Determining and Understanding the Suitability of Solvent Extraction for Bioproduct Recovery

2023

Large-scale computational polymer solubility predictions and applications to dissolution-based plastic recycling

Green Chemistry

2023

Structural features of interfacial water predict the hydrophobicity of chemically heterogeneous surfaces

Chemical Science

2023

Capturing molecular interactions in graph neural networks: A case study in multi-component phase equilibrium

Digital Discovery

2023

Medium-chain lipid conjugation facilitates cell-permeability and bioactivity

Journal of the American Chemical Society

2022/9/30

Ordering transitions of liquid crystals triggered by metal oxide-catalyzed reactions of sulfur oxide species

Journal of the American Chemical Society

2022/9/1

Sensing gas mixtures by analyzing the spatiotemporal optical responses of liquid crystals using 3D convolutional neural networks

ACS sensors

2022/8/23

Data-centric development of lignin structure–solubility relationships in deep eutectic solvents using molecular simulations

ACS Sustainable Chemistry & Engineering

2022/7/22

Adaptive conformer sampling for property prediction using the conductor-like screening model for real solvents

Industrial & Engineering Chemistry Research

2022/6/13

On the integration of molecular dynamics, data science, and experiments for studying solvent effects on catalysis

2022/6/1

Predicting the physicochemical properties and biological activities of monolayer-protected gold nanoparticles using simulation-derived descriptors

ACS nano

2022/3/15

Identifying nonadditive contributions to the hydrophobicity of chemically heterogeneous surfaces via dual-loop active learning

The Journal of Chemical Physics

2022/1/14

Catalytic production of tetrahydropyran (THP): a biomass-derived, economically competitive solvent with demonstrated use in plastic dissolution

Green Chemistry

2022

See List of Professors in Reid C. Van Lehn University(University of Wisconsin-Madison)