journal article·2026-03-03Open access

Autonomous Synthesis of Nanoparticles with Target Scattering Patterns

Andy S. Anker, Jonas H. Jensen, Miguel González-Duque, Rodrigo Moreno, Aleksandra Smolska, Mikkel Juelsholt, Vincent Hardion, Mads R. V. Jørgensen, Andrés Faíña, Jonathan Quinson, Kasper Støy, Tejs Vegge

ACS Nano· Volume 20· Issue 8

Abstract

High Resolution Image Download MS PowerPoint Slide Controlled synthesis of materials with specified atomic structures underpins technological advances yet remains reliant on iterative, trial-and-error approaches. Nanoparticles (NPs), whose atomic arrangement dictates their emergent properties, 1–5 are particularly challenging to synthesize due to numerous tunable parameters. Here, we introduce an autonomous approach that explicitly targets atomic-scale structure through scattering patterns. Our method autonomously designs synthesis protocols by matching real-time experimental total scattering (TS) and pair distribution function (PDF) data to simulated target patterns, without requiring embedded synthesis knowledge. We demonstrate this capability at a synchrotron by targeting two structurally distinct gold NP scattering patterns: 5 nm decahedral and 10 nm face-centered cubic structures. Ultimately, specifying target scattering patterns and autonomously approaching synthesis protocols that reproduce them experimentally may enable on-demand, atomic structure-informed materials design. ScatterLab thus provides a generalizable blueprint for autonomous, atomic structure-targeted synthesis across diverse systems and applications.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Machine Learning in Materials Science · Gold and Silver Nanoparticles Synthesis and Applications · Block Copolymer Self-Assembly

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Energy Conversion and Storage

Technical University of Denmark

Department of Chemistry

University of Oxford

Department of Computer Science

IT University of Copenhagen

Department of Biology

University of Copenhagen

Biological and Chemical Engineering Department

Aarhus University

Department of Chemical Engineering

Columbia University

MAX IV Laboratory

Lund University

Department of Chemistry and iNANO

CICA-Centro Interdisciplinar de Química e Bioloxía, Facultade de Ciencias, Universidade da Coruña, Campus de Elviña, Coruña 15008 A, Spain

Funding

Svenska Forskningsr?det Formas · Vetenskapsr?det · Danmarks Grundforskningsfond · Danmarks Frie Forskningsfond · VINNOVA · Novo Nordisk Fonden · Aarhus Universitets Forskningsfond · Carlsbergfondet · NUFI

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