Keith A. Brown
YOU?
Author Swipe
View article: Benchmarking self-driving labs
Benchmarking self-driving labs Open
This review summarizes the ways in which researchers have benchmarked optimization using self-driving labs and provides heuristic simulations to contextualize common metrics such as enhancement factor and acceleration factor.
View article: The ecology and adaptive function of clownfish color patterns
The ecology and adaptive function of clownfish color patterns Open
Anti-predator coloration strategies vary widely from conspicuous to cryptic, and everything between. Coloration serves multiple functions, and determining the selective pressures that drive this diversity is a long-standing mystery. Clownf…
View article: Materials discovery in combinatorial and high-throughput synthesis and processing: A new Frontier for SPM
Materials discovery in combinatorial and high-throughput synthesis and processing: A new Frontier for SPM Open
For over three decades, scanning probe microscopy (SPM) has been a key method for exploring material structures and functionalities at nanometer and often atomic scales in ambient, liquid, and vacuum environments. Historically, SPM applica…
View article: Benchmarking Self-Driving Labs
Benchmarking Self-Driving Labs Open
A key goal of modern materials science is accelerating the pace of materials discovery. Self-driving labs, or systems that select experiments using machine learning and then execute them using automation, are designed to fulfil this promis…
View article: Science acceleration and accessibility with self-driving labs
Science acceleration and accessibility with self-driving labs Open
In the evolving landscape of scientific research, the complexity of global challenges demands innovative approaches to experimental planning and execution. Self-Driving Laboratories (SDLs) automate experimental tasks in chemical and materi…
View article: Materials Discovery in Combinatorial and High-throughput Synthesis and Processing: A New Frontier for SPM
Materials Discovery in Combinatorial and High-throughput Synthesis and Processing: A New Frontier for SPM Open
For over three decades, scanning probe microscopy (SPM) has been a key method for exploring material structures and functionalities at nanometer and often atomic scales in ambient, liquid, and vacuum environments. Historically, SPM applica…
View article: Foams with 3D Spatially Programmed Mechanics Enabled by Autonomous Active Learning on Viscous Thread Printing (Adv. Sci. 44/2024)
Foams with 3D Spatially Programmed Mechanics Enabled by Autonomous Active Learning on Viscous Thread Printing (Adv. Sci. 44/2024) Open
Viscous Thread Printing In article number 2408062, Jeffrey Ian Lipton and co‐workers present a method to predict the properties of viscous thread printed (VTP) foams with spatially programmed mechanical properties. Using Gaussian process r…
View article: ASMI: An automated, low-cost indenter for soft matter
ASMI: An automated, low-cost indenter for soft matter Open
The automated soft matter indenter (ASMI) is a platform for rapidly performing mechanical characterization of samples with elastic moduli in the range 7 kPa to 67 MPa with a sample acquisition time between 1 and 10 min. It is a low-cost sy…
View article: Foams with 3D Spatially Programmed Mechanics Enabled by Autonomous Active Learning on Viscous Thread Printing
Foams with 3D Spatially Programmed Mechanics Enabled by Autonomous Active Learning on Viscous Thread Printing Open
Foams are versatile by nature and ubiquitous in a wide range of applications, including padding, insulation, and acoustic dampening. Previous work established that foams 3D printed via Viscous Thread Printing (VTP) can in principle combine…
View article: Data-Driven Nonlinear Deformation Design of 3D-Printable Shells
Data-Driven Nonlinear Deformation Design of 3D-Printable Shells Open
Designing and fabricating structures with specific mechanical properties requires understanding the intricate relationship between design parameters and performance. Understanding the design-performance relationship becomes increasingly co…
View article: Foams with 3D Spatially Programmed Mechanics Enabled by Autonomous Active Learning on Viscous Thread Printing
Foams with 3D Spatially Programmed Mechanics Enabled by Autonomous Active Learning on Viscous Thread Printing Open
Foams are versatile by nature and ubiquitous in a wide range of applications, including padding, insulation, and acoustic dampening. Previous work established that foams 3D printed via Viscous Thread Printing (VTP) can in principle combine…
View article: PANDA: A self-driving lab for studying electrodeposited polymer films
PANDA: A self-driving lab for studying electrodeposited polymer films Open
We introduce the polymer analysis and discovery array (PANDA), an automated system for high-throughput electrodeposition and functional characterization of polymer films. The PANDA is a custom, modular, and low-cost system based on a CNC g…
View article: Superlative mechanical energy absorbing efficiency discovered through self-driving lab-human partnership
Superlative mechanical energy absorbing efficiency discovered through self-driving lab-human partnership Open
Energy absorbing efficiency is a key determinant of a structure’s ability to provide mechanical protection and is defined by the amount of energy that can be absorbed prior to stresses increasing to a level that damages the system to be pr…
View article: Simulation of heat transport in textiles inspired by polar bear fur
Simulation of heat transport in textiles inspired by polar bear fur Open
The polar bear and several other Arctic mammals use fur composed of hollow-core fibers to survive in extremely cold environments. Here, we use finite element analysis to elucidate the role that the hollow core plays in regulating thermal t…
View article: PANDA: a self-driving lab for studying electrodeposited polymer films
PANDA: a self-driving lab for studying electrodeposited polymer films Open
We report the PANDA, a self-driving lab that handles fluids, electrodeposits polymers, and then functionally characterizes the result using optics or electrochemistry. As an example application, we perform a closed-loop study of electrochr…
View article: Introduction to “Accelerate Conference 2022”
Introduction to “Accelerate Conference 2022” Open
Keith A. Brown, Fedwa El Mellouhi, and Claudiane Ouellet-Plamondon introduce the themed collection on the 2022 Accelerate Conference.
View article: Rational Structural Design of Polymer Pens for Energy-Efficient Photoactuation
Rational Structural Design of Polymer Pens for Energy-Efficient Photoactuation Open
Photoactuated pens have emerged as promising tools for expedient, mask-free, and versatile nanomanufacturing. However, the challenge of effectively controlling individual pens in large arrays for high-throughput patterning has been a signi…
View article: Autonomous Discovery of Tough Structures
Autonomous Discovery of Tough Structures Open
A key feature of mechanical structures ranging from crumple zones in cars to padding in packaging is their ability to provide protection by absorbing mechanical energy. Designing structures to efficiently meet these needs has profound impl…
View article: Bayesian reconstruction of magnetic resonance images using Gaussian processes
Bayesian reconstruction of magnetic resonance images using Gaussian processes Open
A central goal of modern magnetic resonance imaging (MRI) is to reduce the time required to produce high-quality images. Efforts have included hardware and software innovations such as parallel imaging, compressed sensing, and deep learnin…
View article: Quantitative nanopatterning of fg-scale liquids with dip-pen nanolithography
Quantitative nanopatterning of fg-scale liquids with dip-pen nanolithography Open
The ability to precisely pattern nanoscale amounts of liquids is essential for biotechnology and high-throughput chemistry, but controlling fluid flow on these scales is very challenging. Scanning probe lithography methods such as dip-pen …
View article: Exploration of Flexoelectric Materials Produced using Additive Manufacturing
Exploration of Flexoelectric Materials Produced using Additive Manufacturing Open
pure chemical process in which the solution continually anodized the sample where oxidation-reduction occurs. CP has a great advantage in creating uniform, smooth surfaces regardless of size or part geometry. EP is an electro-chemical proc…
View article: What is missing in autonomous discovery: Open challenges for the community
What is missing in autonomous discovery: Open challenges for the community Open
Self-driving labs (SDLs) leverage combinations of artificial intelligence, automation, and advanced computing to accelerate scientific discovery. The promise of this field has given rise to a rich community of passionate scientists, engine…
View article: Mechanical Consequences of Oxygen Inhibition in Vat Polymerization
Mechanical Consequences of Oxygen Inhibition in Vat Polymerization Open
Vat polymerization is a type of additive manufacturing that is used extensively to produce micro‐architected structures for mechanical applications, which brings the mechanical properties of photopolymerized resins into sharp focus. Howeve…
View article: Screening for electrically conductive defects in thin functional films using electrochemiluminescence
Screening for electrically conductive defects in thin functional films using electrochemiluminescence Open
Multifunctional thin films in energy-related devices often must be electrically insulating where a single nanoscale defect can result in complete device-scale failure. Locating and characterizing such defects presents a fundamental problem…
View article: Bayesian Reconstruction of Magnetic Resonance Images using Gaussian Processes
Bayesian Reconstruction of Magnetic Resonance Images using Gaussian Processes Open
A central goal of modern magnetic resonance imaging (MRI) is to reduce the time required to produce high-quality images. Efforts have included hardware and software innovations such as parallel imaging, compressed sensing, and deep learnin…
View article: What is missing in autonomous discovery: open challenges for the community
What is missing in autonomous discovery: open challenges for the community Open
Self-driving labs (SDLs) leverage combinations of artificial intelligence, automation, and advanced computing to accelerate scientific discovery.
View article: Driving school for self-driving labs
Driving school for self-driving labs Open
Self-driving labs benefit from occasional and asynchronous human interventions. We present a heuristic framework for how self-driving lab operators can interpret progress and make changes during a campaign.