Automation uncovers combinations of amino acids that feed two bacterial species and could tell us much more about the 90% of bacteria that humans have hardly studied.
Computing and Simulation
AI could run a million microbial experiments per year
Rebecca Lindsey joins Michigan Chemical Engineering
New Assistant Professor Rebecca Lindsey’s work will focus on chemistry in multiscaled systems and material evolution under extreme and dynamically changing conditions.
Visualizing nanoscale structures in real time
Open-source software enables researchers to see materials in 3D while they’re still on the electron microscope.
Behind the Paper: Enabling Multi-Objective Antibody Optimization
This PhD student blog post explores the use of machine learning for simultaneously optimizing antibody affinity and specificity, which could help accelerate drug development.
Nanobiotics: model predicts how nanoparticles interact with proteins
Nano-engineered drugs that stop harmful bacteria and viruses could be on the horizon.
Nicholas Kotov elected to the American Academy of Arts and Sciences
Nicholas Kotov, Irving Langmuir Distinguished University Professor of Chemical Sciences and Engineering, has been elected to the American Academy of Arts and Sciences. Only 13,500 members have been elected since 1780.
Interpretable machine learning in catalysis
Recent research from U-M ChE professors Suljo Linic and Bryan Goldsmith and their co-advised PhD student Jacques Esterhuizen explores recent advances in machine learning approaches for heterogeneous catalysis.
Nicholas Kotov honored by MRS with the David Turnbull Lectureship
U-M ChE’s Nicholas Kotov has been recognized by the Materials Research Society (MRS) with the David Turnbull Lectureship for foundational discoveries in interface-based engineering of self-organizing materials.
Greg Thurber receives World ADC George R. Pettit Individual Input to the Field Award
U-M ChE associate professor, Greg Thurber, has been recognized with the George R. Pettit Individual Input to the Field Award. He was presented with the award at the 2021 World Antibody Drug Conjugate (World ADC) Conference.
Nanoengineering integrates crystals that don’t usually get along
A team of computational and experimental engineers demonstrate a blueprint for building materials with new properties from nanocrystals.
Toward protein nanomachines: just add charge
Added electrical charges can harness a protein’s shape and chemical properties to build interesting structures.
Sustainable biofuel: Design principles for bioengineered microbe catalysts
The US has been stuck on corn kernels for producing ethanol, rather than woody “cellulosic” material. Efficient microbes for converting cellulose to biofuel could change the game.
Two awards grant more than 1.5 million hours on two of the world’s fastest supercomputers
One is a competitive U.S. Department of Energy’s Office of Science award that will power Michigan Engineering research by providing more than 1.5 million node hours combined on two of the world’s most powerful supercomputers.
Findings in mice show pill for breast cancer diagnosis may outperform mammograms
A new kind of imaging could distinguish aggressive tumors from benign, preventing unnecessary breast cancer treatments.
Twisted semiconductors for future moving holograms
Holographic displays need twisted light. Twisted semiconductors assembled with the help of amino acids may enable them.
Keeping drugs on the job
Computer simulations developed at the University of Michigan reveal how well drug additives stop the active ingredients from crystallizing in the digestive tract.
Most complex nanoparticle crystal ever made by design
Extraordinary nanoparticle crystals are possible by harnessing particle shape in addition to using DNA as smart glue.
A crystal ball for crystal formation
Studying the role of shape in self-assembly came up accidentally as Sharon Glotzer and her colleagues were studying the properties of semiconducting nanoparticles their U-M colleagues produced.
The approved antibiotic regimens may be failing to eradicate tuberculosis bacteria too often. A computer model could help fight antibiotic resistance