Category: Computing and Simulation
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Paul Jensen receives NSF early CAREER grant to support research in AI, machine learning
The Faculty Early CAREER Development program is an NSF-wide activity that offers the foundation’s most prestigious awards in support of early-career faculty.
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Scientists observe composite superstructure growth from nanocrystals in real time
The findings could enable engineers to more reliably manufacture next-gen materials by combining different nanocrystals.
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Nanoparticle quasicrystal constructed with DNA
The breakthrough opens the way for designing and building more complex structures
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Recent funding advances environmentally friendly conditioning agents in shampoo development
Procter and Gamble’s continued partnership with Ronald Larson and the Larson Lab explores greener opportunities for conditioning agents in shampoo.
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Sharon Glotzer named a Clarivate Citation Laureate
23 world-class researchers have been selected for exhibiting exceptional levels of citation among the scientific community within the areas of science recognized by the Nobel Prize.
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AI tool helps optimize antibody medicines
Machine learning points out why antibodies fail to stay on target, binding to molecules that aren’t markers of disease—and suggests better designs.
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Rebecca Lindsey receives Computational Molecular Science and Engineering Forum Young Investigator Award
The AIChE CoMSEF Young Investigator Award recognizes outstanding research in computational molecular science and engineering, encompassing both methods and applications.
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Making the structure of ‘fire ice’ with nanoparticles
The structure harnesses a strange physical phenomenon and could enable engineers to manipulate light in new ways.
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AI could run a million microbial experiments per year
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.
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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.
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Visualizing nanoscale structures in real time
Open-source software enables researchers to see materials in 3D while they’re still on the electron microscope.
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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.
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Nanobiotics: model predicts how nanoparticles interact with proteins
Nano-engineered drugs that stop harmful bacteria and viruses could be on the horizon.
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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.
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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.
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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.
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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.
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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.
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Toward protein nanomachines: just add charge
Added electrical charges can harness a protein’s shape and chemical properties to build interesting structures.
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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.