Maximilian Besenhard

Has grant

Lecturer in Digital Manufacturing of Advanced Materials

University College London

United Kingdom

Research Interests

Explore related searches

Professors in United Kingdom Professors in Chemical Engineering Chemical Engineering professors in United Kingdom

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

About

Maximilian Besenhard is a Lecturer in Digital Manufacturing of Advanced Materials at University College London, UK. His research focuses on the development of advanced methodologies in nanomaterial synthesis, including machine learning applications in high-performance liquid chromatography and the automated synthesis of iron oxide nanoparticles. He has published several articles on topics such as nanoparticle aggregation behavior, flow reactor platforms, and continuous crystallization techniques.

Recent Grants

Grant: Close

DigiScale: Digitally driven scale up of chemical processes

Open Date: 2023-04-02

Close Date: 2026-04-01

Grant: Close

Fully Automated Platforms for Drug Nanocrystals Manufacturing via Continuous-Flow, Data-Driven Antisolvent Crystallization

Open Date: 2021-08-31

Close Date: 2024-08-30

Articles (15)

Year:

2025

Year:

2025

Year:

2024

Year:

2024

Year:

2024

Year:

2023

Year:

2023

Year:

2023

Year:

2022

Year:

2021

Year:

2021

Year:

2021

Year:

2021

Year:

2021

Year:

2021

Collaborators (20)

Christopher Pask

Project Officer/Experimental Officer/Teaching Support Officer

University of Leeds

UNITED KINGDOM

Maximilian Besenhard

Research Interests

Explore related searches

Contact this professor

About

Recent Grants

Articles (15)

Predicting Aggregation Behavior of Nanoparticles in Liquid Crystals via Automated Data‐Driven Workflows

In Silico High-Performance Liquid Chromatography Method Development via Machine Learning

Automated Continuous Crystallization Platform with Real-Time Particle Size Analysis via Laser Diffraction

Operator-free HPLC automated method development guided by Bayesian optimization

Modulating proton conductivity through crystal structure tuning in arenedisulfonate coordination polymers

A versatile non-fouling multi-step flow reactor platform: demonstration for partial oxidation synthesis of iron oxide nanoparticles

Non-fouling flow reactors for nanomaterial synthesis

High temperature flow synthesis of iron oxide nanoparticles: Size tuning via reactor engineering

Fouling-proof triple stream 3D flow focusing based reactor: Design and demonstration for iron oxide nanoparticle co-precipitation synthesis

Development of an in-line magnetometer for flow chemistry and its demonstration for magnetic nanoparticle synthesis

Whither Magnetic Hyperthermia? A Tentative Roadmap

Shape controlled iron oxide nanoparticles: inducing branching and controlling particle crystallinity

Stable Iron Oxide Nanoflowers with Exceptional Magnetic Heating Efficiency: Simple and Fast Polyol Synthesis

In-Silico Conceptualisation of Continuous Millifluidic Separators for Magnetic Nanoparticles

Continuous citrate‐capped gold nanoparticle synthesis in a two‐phase flow reactor

Collaborators (20)

Christopher Pask

Simo Spassov

Paul Southern

Simon Dawes

Nicholas Warren

Christer Johansson

Jeanine Williams

Charalampos Makatsoris

Maria Margarida Cruz

Adam D. Clayton

Quentin Pankhurst

Richard Bourne

Asterios Gavriilidis

Martin R. Lees

sarah Staniland

Liudmyla Storozhuk

Stefan Guldin

Dai Jiang

Nguyen Thi Kim THANH

Federico Galvanin

Make your next move.