The Accelerated Materials Technology Platform

The only dedicated technology for nanomaterials synthesis, from lab to plant

A New Era of Scalable R&D

By uniting advanced reactor engineering with machine learning and automation, our technology redefines how advanced materials are discovered, optimised, and rapidly scaled.

Delivering breakthroughs faster, smarter, and more sustainably.
Core Technologies

The Annular Microreactor

The annular microreactor uses a unique, high-velocity gas and liquid flow to synthesize nanoparticles. It forces liquids into a thin film with high shear force, providing exceptional mixing and control over nanoparticle properties. By controlling nanoscale phenomena of hydrodynamic assembly, this reactor enables users to precisely manipulate particle size and shape just by flowrate control. This approach also prevents clogging, allowing for continuous and scalable production, unlike costly and inconsistent batch methods.

This core technology is a key component of the Accelerated Materials platform for faster materials discovery and process scaleability. The Annular Microreactor is a key component of AM’s Kseries reactors.

Benefits

The Annular Microreactor

Enhanced Control

The system offers superior control over nanoparticle characteristics compared to traditional batch methods.

Reproducibility

The precise flow conditions ensure consistent and reproducible results, which is critical for demanding applications.

Compact

Compared to conventional batch techniques, annular microreactors are up to 100x more space efficient, requiring a fraction of the volume needed, saving users precious lab and production space.

Scalability

The technology is designed for scaling up production by "numbering up", multiplying reactors rather than increasing their individual size. This is managed by a passive self-regulating distributor that ensures consistent flow across multiple units.

High-solids Compatibility

It can process high solids-content, viscous mixtures, a limitation for many other microfluidic systems.
Core Technologies

Parallel Processing

AM’s unique parallel processing technology enables the reliable multiplication of reactor units for scalable production. This proprietary technology uses a special distribution manifold to distribute reactants precisely and identically across multiple microreactors simultaneously.

Unlike complex sensor or feedback systems, its robust, passive design ensures consistent flow and reproducible nanoparticle properties without extra energy or pressure drop, allowing immediate, reliable scale-up. Parallel processing is a key component of AM’s K100 reactor.

Benefits

Parallel Processing

Instant Scaling

Able to scale an infinite amount flow reactors, ensuring product and process continuity regardless of production demands.

Reliable

Uses no moving parts, resisting clogging and simplifying process control.

Robust

Continuously self-regulates fluid flowrates, minimizing the effect of downstream process deviations.
Core Technologies

Adaptive Machine Learning

AM’s adaptive machine learning (ML) platform is a specialized optimization system that surpasses general ML libraries by intelligently selecting and fine-tuning models for advanced materials synthesis. Instead of a single model, it uses a diverse toolkit, including probabilistic Bayesian models, neural networks, decision trees and more, to explore promising parameter combinations efficiently. AM’s Adaptive Machine Learning is made available through AMLearn.

Benefits

Adaptive Machine Learning

Easy to Implement

Automates the process of model selection and tuning, enabling users from any background to quickly get started with machine learning.

Powerful

Simultaneously optimizes up to 5 objectives, such as yield, cost, and quality, dramatically reducing the size and complexity of experimental campaigns.

Specialised

Requiring as few as 3 training experiments per experimental parameter, easily handles sparse and complex datasets which are common in experimental materials science.
Core Technologies

Modular Automation Architecture

AM’s modular automation architecture is a next generation framework for linking advanced AI and ML algorithms with automated laboratory and factory equipment, enabling “self-driving” experiments. Built in Python, AM enables rapid integration of the latest generation of open-source libraries for AI and data science with simultaneous device orchestration. AM’s Modular Automation Architecture is integrated into our operating system AMLearn.

Benefits

Modular Automation Architecture

Flexible

As a modular framework-driven approach, AM’s architecture allows individual components like device drivers, AI models, or experimental workflows to be easily swapped, updated, or customized without overhauling the entire system.

Fast

As a Python-based architecture, AM’s architecture allows for rapid development by integrating with a vast ecosystem of existing AI/ML libraries. During execution, it enables parallel operation of multiple instruments, significantly cutting down experimental run times and accelerating data acquisition.

Open-source

With open-source templates and protocols, AM’s architecture enables users to create their own automation protocols and drivers, fostering a collaborative environment that continuously expands the platform's capabilities for everyone.