activity
20212025
most citedSemi-supervised machine learning model for analysis of nanowire morphologies from transmission electron microscopy images

30 citations · 45 across the 6 of their papers we have counts for

collaborators
Showing 2022Show all

4 papers · 1 filter

cond-mat.soft2022

Computational Reverse-Engineering Analysis for Scattering Experiments for Form Factor and Structure Factor Determination ('P(q) and S(q) CREASE')

Christian M. Heil, Yingzhen Ma, Bhuvnesh Bharti +1

In this paper we present an open-source machine learning (ML) accelerated computational method to analyze small-angle scattering profiles [I(q) vs. q] from concentrated macromolecu…

cond-mat.soft2022★ 1 cited

Mechanism of Structural Colors in Binary Mixtures of Nanoparticle-based Supraballs

Christian M. Heil, Anvay Patil, Bram Vanthournout +9

Inspired by structural colors in avian species, various synthetic strategies have been developed to produce non-iridescent, saturated colors using nanoparticle assemblies. Mixtures…

cond-mat.soft2022★ 13 cited

Modeling Structural Colors from Disordered One-Component Colloidal Nanoparticle-based Supraballs using Combined Experimental and Simulation Techniques

Anvay Patil, Christian M. Heil, Bram Vanthournout +8

Bright, saturated structural colors in birds have inspired synthesis of self-assembled, disordered arrays of assembled nanoparticles with varied particle spacings and refractive in…

cond-mat.mtrl-sci2022★ 30 cited

Semi-supervised machine learning model for analysis of nanowire morphologies from transmission electron microscopy images

Shizhao Lu, Brian Montz, Todd Emrick +1

In the field of materials science, microscopy is the first and often only accessible method for structural characterization. There is a growing interest in the development of machi…