麻豆传媒

Charles M. Schroeder is the James Economy Professor of  and a professor of  at the University of Illinois Urbana-Champaign. He is Co-Chair of the Molecular Science and Engineering Theme and Leader of the AI for Materials Group in the Beckman Institute for Advanced Science and Technology. Professor Schroeder is a faculty member in the Center for Biophysics and Quantitative Biology and holds affiliate status in the Department of Chemistry, the Department of Bioengineering, the Carl R. Woese Institute for Genomic Biology, and the Materials Research Lab. He previously served as Associate Head in the Department of Chemical & Biomolecular Engineering at Illinois.

Professor Schroeder received his B.S. in Chemical Engineering from Carnegie Mellon University in 1999, followed by an M.S. in 2001 and Ph.D. in 2005 in Chemical Engineering from Stanford University. Before joining the University of Illinois in 2008, he was a Jane Coffin Childs Postdoctoral Fellow and a K99/R00 NIH postdoctoral fellow in the Department of Chemistry and Chemical Biology at Harvard University (2004-2007). 

Professor Schroeder is the recipient of several awards, including a Packard Fellowship for Science and Engineering, a Camille Dreyfus Teacher-Scholar Award, an NSF CAREER Award, the Arthur B. Metzner Award from the Society of Rheology, an NIH Pathway to Independence Award (K99/R00), the Dean’s Award for Excellence in Research at Illinois, and the Vision and Spirit Award from the Beckman Institute. Professor Schroeder is a Fellow of the American Association for the Advancement of Science (AAAS Fellow, 2022) and a Fellow of the Society of Rheology (2023).

Research Statement 

The cutting edge of chemical science research lies in the ability to manipulate and control single molecules. The Schroeder group has pioneered a unique and powerful brand of molecular engineering that allows for the precise design and characterization of single molecules, in problems ranging from polymer physics to molecular electronics. Imagine the ability to design and engineer new soft materials with any desired functional properties (e.g., electrical, optical, mechanical) by controlling chemical structure and composition at the molecular level. The Schroeder group aims to achieve this vision by understanding how form and function arise in soft materials given precise control over molecular synthesis, structure, and processing. Current work is defined by four focus areas:

Single polymer dynamics. A major unsolved problem in soft materials and rheology lies in understanding how the collective behavior of individual molecules gives rise to bulk properties in polymeric materials. To address this challenge, the Schroeder group has extended the field of single polymer dynamics to new materials including architecturally complex polymers such as rings and branched polymers. His work provides a molecular-level understanding of non-equilibrium polymer dynamics, bridging the gap between molecular behavior and bulk properties in polymeric liquids and solids. Recent work has focused on fully recyclable synthetic polymers using metastable chemistries.

Vesicle dynamics, biological membranes, microhydrodynamics & Stokes trap. Schroeder's group studies the non-equilibrium conformational dynamics of lipid vesicles and colloidal clusters using a Stokes trap, which is a new method developed by his group that allows for the precise trapping and manipulation of single molecules or particles using automated flow control. Understanding the dynamics of membrane-bound vesicles is critical for developing new and efficient drug delivery vehicles. His recent work has focused on understanding the non-linear deformation of lipid membranes in flow, including phase separation and dynamics of multi-component lipid membranes under tension. 

Automated synthesis for materials discovery. The Schroeder group uses automated synthesis to drive the discovery of new materials for applications including organic electronics and energy storage. A “Lego-like” building block approach is used to synthesize large libraries of chemically diverse, sequence-defined molecules via automated iterative Suzuki coupling (C-C coupling). Automated synthesis is also used in combination with AI-guided, closed-loop discovery methods for new materials, e.g., organic photovoltaics (OPVs) with improved photostability or new electrochromic molecules.

Molecular electronics & bioelectronics. Electron transport in proteins is essential for fundamental life processes in living cells. Understanding these mechanisms at the molecular level remains an open challenge in the field. Recently, the Schroeder group has studied charge transport mechanisms in sequence-defined polymers, redox-active molecules, and supramolecular assemblies using single molecule techniques. His work is focused on bioelectronics by developing new sustainable materials for next-generation electronic devices, including self-assembled protein circuitry and conductive peptide nanowires. 


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Lightening the load: Researchers develop autonomous electrochemistry robot

Beckman researchers developed a cost-friendly, customizable, electrochemistry robot called the Electrolab to perform autonomous experiments in the laboratory. The Electrolab will be used to explore next-generation energy storage materials and chemical reactions that promote alternative and sustainable energy.
06-Nov-2023 01:05:32 PM EST

Mix it, test it, create it: NSF funds automated polymer research instrument at the Beckman Institute

University of Illinois researchers received NSF funding to acquire a fully automated polymer analysis instrument to be housed at the Beckman Institute.
14-Sep-2023 12:05:15 PM EDT

鈥淲hen you have these large datasets, artificial intelligence helps to tease out nonobvious correlations 鈥 the ones that appear to be subtle but are actually very important."

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鈥淥ur work provides a significant step forward towards the development of functional molecular electronic devices."

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"Prioritize the search for fundamental knowledge,鈥 he said. 鈥淧rioritize the training and mentoring of students and young scientists. Prioritize building teams and developing new ideas rather than seeking personal or singular recognition on shared projects. Prioritize the pursuit of excellence at all levels 鈥 including relationship building 鈥 while seeking to move the field forward with new ideas.鈥

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