Living in the Fast Lane—High Throughput Controlled/Living Radical Polymerization

Oliver, Susan; Zhao, Lily; Gormley, Adam J.; Chapman, Robert; Boyer, Cyrille

doi:10.1021/acs.macromol.8b01864

Cited by 101 publications

(114 citation statements)

References 165 publications

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“…Oliver et al. listed several useful polymer characterization methods that have eluded full automation, such as differential scanning calorimetry and thermogravimetric analysis [177] …”

Section: Challenges and Trendsmentioning

confidence: 99%

Autonomous Discovery in the Chemical Sciences Part II: Outlook

2020

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This two‐part Review examines how automation has contributed to different aspects of discovery in the chemical sciences. In this second part, we reflect on a selection of exemplary studies. It is increasingly important to articulate what the role of automation and computation has been in the scientific process and how that has or has not accelerated discovery. One can argue that even the best automated systems have yet to “discover” despite being incredibly useful as laboratory assistants. We must carefully consider how they have been and can be applied to future problems of chemical discovery in order to effectively design and interact with future autonomous platforms. The majority of this Review defines a large set of open research directions, including improving our ability to work with complex data, build empirical models, automate both physical and computational experiments for validation, select experiments, and evaluate whether we are making progress towards the ultimate goal of autonomous discovery. Addressing these practical and methodological challenges will greatly advance the extent to which autonomous systems can make meaningful discoveries.

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“…Oliver et al. listed several useful polymer characterization methods that have eluded full automation, such as differential scanning calorimetry and thermogravimetric analysis [177] …”

Section: Challenges and Trendsmentioning

confidence: 99%

Autonomous Discovery in the Chemical Sciences Part II: Outlook

2020

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“…This synthesis could be developed further through high throughput methods to manufacture many functionalized surfactants with the mPEGMA 300 comonomer. [ 25 ]…”

Section: Resultsmentioning

confidence: 99%

Achieving Microparticles with Cell‐Instructive Surface Chemistry by Using Tunable Co‐Polymer Surfactants

Dundas

Crucitti

Haas

et al. 2020

Adv Funct Materials

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A flow‐focusing microfluidic device is used to produce functionalized monodisperse polymer particles with surface chemistries designed to control bacterial biofilm formation. This is achieved by using molecularly designed bespoke surfactants synthesized via catalytic chain transfer polymerization. This novel approach of using polymeric surfactants, often called surfmers, containing a biofunctional moiety contrasts with the more commonly employed emulsion methods. Typically, the surface chemistry of microparticles are dominated by unwanted surfactants that dilute/mask the desired surface response. Time of flight secondary ion mass spectrometry (ToF‐SIMS) analysis of particles demonstrates that the comb‐graft surfactant is located on the particle surface. Biofilm experiments show how specifically engineered surface chemistries, generated by the surfactants, successfully modulate bacterial attachment to both polymer films, and microparticles. Thus, this paper outlines how the use of designed polymeric surfactants and droplet microfluidics can exert control over both the surface chemistry and size distribution of microparticle materials, demonstrating their critical importance for controlling surface‐cell response.

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“…[174] Durch HTE vereinfacht sich das Screening breiter Designräume nach neuen Informationen. [175][176][177] Füre ine schnellere Datenerzeugung und Hypothesenvalidierung wurden jenseits der Brute-Force-Methoden neue Arten von Experimenten entwickelt. Dazu gehçren die Split-Pool-Te chniken und andere kombinatorische Methoden zur gleichzeitigen Untersuchung mehrerer Kandidaten.…”

Section: Experimentelle Validierungunclassified

“…Oliver et al beschreiben viele hilfreiche,a ber noch nicht vollständig automatisierbare Verfahren in der Polymeranalytik, wie die dynamische Differenzkalorimetrie und die Thermogravimetrie. [177] Herausforderung:d urch System-Engineering besser integrieren Planung, Durchführung und Analyse eines Experiments umfassen häufig eine Koordination von Aufgaben zwischen mehreren unabhängigen, aber physisch und auf Steuerungsebene miteinander verknüpften Hardware-/Softwareeinheiten.…”

Section: Experimentelle Validierungunclassified

Autonome Entdeckung in den chemischen Wissenschaften, Teil II: Ausblick

2020

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In dem zweiteiligen Aufsatz wird der Beitrag von Automation zu verschiedenen Aspekten der chemischen Entdeckung untersucht. In Teil 2 betrachten wir ausgewählte Beispiele. Eine Diskussion der Rolle von Automation und Rechnung im wissenschaftlichen Prozess und deren Einfluss auf die Beschleunigung von Entdeckungsaufgaben wird immer wichtiger. Selbst wenn automatisierte Systeme die Laborarbeit immens unterstützen können, kann man argumentieren, dass auch die besten Roboter noch nicht wirklich etwas “entdecken”. Zur effektiven Entwicklung autonomer Plattformen müssen wir ihren bisherigen Einsatz evaluieren und herausfinden, wie sie sich auf künftige Probleme anwenden lassen. Den Hauptteil dieses Aufsatzes nimmt die Definition von weiterführenden Forschungsrichtungen ein: Verarbeitung komplexer Daten, Erstellung empirischer Modelle, Automation experimenteller und rechnerischer Validierung, Versuchsauswahl und Evaluation des Fortschritts auf dem Weg zur autonomen Entdeckung.

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Living in the Fast Lane—High Throughput Controlled/Living Radical Polymerization

Cited by 101 publications

References 165 publications

Autonomous Discovery in the Chemical Sciences Part II: Outlook

Autonomous Discovery in the Chemical Sciences Part II: Outlook

Achieving Microparticles with Cell‐Instructive Surface Chemistry by Using Tunable Co‐Polymer Surfactants

Autonome Entdeckung in den chemischen Wissenschaften, Teil II: Ausblick

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