activity
20102023
most citedPredicting phase behavior of grain boundaries with evolutionary search and machine learning

175 citations · 271 across the 13 of their papers we have counts for

collaborators
Showing 2020Show all

5 papers · 1 filter

physics.ins-det2020

New aerodynamic lens injector for single particle diffractive imaging

Nils Roth, Daniel A. Horke, Jannik Lübke +17

An aerodynamic lens injector was developed specifically for the needs of single-particle diffractive imaging experiments at free-electron lasers. Its design allows for quick change…

physics.app-ph2020

3D diffractive imaging of nanoparticle ensembles using an X-ray laser

Kartik Ayyer, P. Lourdu Xavier, Johan Bielecki +34

We report the 3D structure determination of gold nanoparticles (AuNPs) by X-ray single particle imaging (SPI). Around 10 million diffraction patterns from gold nanoparticles were m…

physics.flu-dyn2020

Microscopic force for aerosol transport

Nils Roth, Muhamed Amin, Amit K. Samanta +1

A key ingredient for single particle diffractive imaging experiments is the successful and efficient delivery of sample. Current sample-delivery methods are based on aerosol inject…

physics.chem-ph2020★ 1 cited

A practical approach to Hohenberg-Kohn maps based on many-body correlations: learning the electronic density

Edgar Josué Landinez Borda, Amit Samanta

High throughput screening of materials for technologically relevant areas, like identification of better catalysts, electronic materials, ceramics for high temperature applications…

cond-mat.mtrl-sci2020

Quantized grain boundary states promote nanoparticle alignment during imperfect oriented attachment

Andrew P. Lange, Amit Samanta, Tammy Y. Olson +1

Oriented attachment (OA) has become a well-recognized mechanism for the growth of metal, ceramic, and biomineral crystals. While many computational and experimental studies of OA h…