The evolution of Materials Acceleration Platforms: toward the laboratory of the future with AMANDA
The development of complex functional materials poses a multi-objective optimization
problem in a large multi-dimensional parameter space. Solving it requires reproducible, user …
problem in a large multi-dimensional parameter space. Solving it requires reproducible, user …
Autonomous scanning probe microscopy with hypothesis learning: Exploring the physics of domain switching in ferroelectric materials
Using hypothesis-learning-driven automated scanning probe microscopy (SPM), we explore
the bias-induced transformations that underpin the functionality of broad classes of devices …
the bias-induced transformations that underpin the functionality of broad classes of devices …
Smart manufacturing inspired approach to research, development, and scale-up of electrified chemical manufacturing systems
As renewable electricity becomes cost competitive with fossil fuel energy sources and
environmental concerns increase, the transition to electrified chemical and fuel synthesis …
environmental concerns increase, the transition to electrified chemical and fuel synthesis …
The Electrolab: An open-source, modular platform for automated characterization of redox-active electrolytes
Electrochemical characterization of redox-active molecules in solution requires exploration
of manifold conditions (eg, concentration, electrolyte type, pH, ionic strength), leading to …
of manifold conditions (eg, concentration, electrolyte type, pH, ionic strength), leading to …
Using 3D printing as a research tool for materials discovery
In this perspective, we highlight some significant advances in polymer additive
manufacturing and bioprinting over the past few years, with an eye toward future …
manufacturing and bioprinting over the past few years, with an eye toward future …
An open combinatorial diffraction dataset including consensus human and machine learning labels with quantified uncertainty for training new machine learning …
Modern machine learning and autonomous experimentation schemes in materials science
rely on accurate analysis of the data ingested by these models. Unfortunately, accurate …
rely on accurate analysis of the data ingested by these models. Unfortunately, accurate …
From eyes to cameras: Computer vision for high-throughput liquid-liquid separation
We present a high-throughput automation platform for screening liquid-liquid extraction
(LLE) processes. Our hardware platform simultaneously screens up to 12 vials and is …
(LLE) processes. Our hardware platform simultaneously screens up to 12 vials and is …
Towards self-driving labs for experimental mechanics: a data-centric approach for fatigue crack analysis in aerospace materials
T Strohmann, D Melching, F Paysan, E Dietrich… - 2023 - researchsquare.com
Today's societal challenges require rapid response and smart materials solutions in almost
all technical areas. Driven by these needs, data-driven research has emerged as an enabler …
all technical areas. Driven by these needs, data-driven research has emerged as an enabler …
[PDF][PDF] The Electrolab: An open-source, modular platform for automated characterization of redox-active electrolytes
J Rodrıguez-Lopez - schroeder.scs.illinois.edu
Electrochemical characterization of redox-active molecules in solution requires exploration
of manifold conditions (eg, concentration, electrolyte type, pH, ionic strength), leading to …
of manifold conditions (eg, concentration, electrolyte type, pH, ionic strength), leading to …