Great to work with @linicsu and Chenggong on this exciting project. news.engin.umich.edu/2025/11…
Great to work with @chenggong_jiang and @linicsu on this work. Thanks to @NSF for support. "Predictive model for the discovery of sinter-resistant supports for metallic nanoparticle catalysts by interpretable machine learning, Nat Catal (2025)."
. rdcu.be/eIEO3
Bryan R. Goldsmith retweeted
New paper (rdcu.be/eIEO3) in @NatureCatalysis used first-principles neural network MD and interpretable ML to uncover simple predictive models for the stability of metal nanoparticles on oxide supports. We used the model to identify sinter-resistant supports for Pt.
Bryan R. Goldsmith retweeted
The 2026 Chemical Engineering Faculty Jobs List (run by Arvind Ganesan and Todd N. Whittaker) has 20 research/teaching positions and 5 teaching-only positions: docs.google.com/spreadsheets… #facultychemEjobs
Bryan R. Goldsmith retweeted
New paper with colleagues from @UMichChE on Distinctive Kinetic Signatures of Surface Segregation Processes in Bimetallic Nanoparticle Catalysis describing how kinetic features of a probe reaction change due to the reaction-induced segregation pubs.acs.org/doi/full/10.102…
This theoretical work discusses the potential dependence of nitrate adsorption and dissociation across various materials. These findings should be useful for understanding electrocatalytic nitrate reduction and generalizable to other e-chem reactions. rdcu.be/eqzup
Bryan R. Goldsmith retweeted
🚨 Brand new postdoctoral researcher position in my group at @Princeton! Please apply or share with anyone interested in computational materials science and being an electron whisperer! puwebp.princeton.edu/AcadHir….
We contributed this work to “J. Karl Johnson Festschrift”. in JPCC. We used an amorphous silica model that his lab developed in order to study WOx/SiO2 for olefin metathesis. pubs.acs.org/doi/full/10.102… @ChemePitt
It was great to co-author this 7th edition of Elements with my colleagues to continue the legacy of Scott Fogler’s reaction engineering textbook. che.engin.umich.edu/2025/02/…
#postdocs @ChEnected The Michigan Institute for Computational Discovery and Engineering (MICDE) at the University of Michigan invites you to apply for its prestigious Research Scholar Program (RSP). For Computational Science and Engineering. micde.infoready4.com/.
Recent article titled Synergistic Effects in Organic Mixtures for Enhanced Catalytic Hydrogenation and Hydrodeoxygenation. Free link: kwnsfk27.r.eu-west-1.awstrac… @SinghLab_UMich @Ankit_Mathanker @BoltonTran27
Sensitivity Analysis of Electrochemical Double Layer Approximations on Electrokinetic Predictions: Case Study for CO Reduction on Copper | The Journal of Physical Chemistry C pubs.acs.org/doi/full/10.102…
Theoretical Investigation of the Potential-Dependent CO Adsorption on Copper Electrodes | The Journal of Physical Chemistry Letters pubs.acs.org/doi/full/10.102…
Excited to be a judge for the #LatinXChemEng category at #LatinXChem24 on Oct 14-15, a collab category between @LatinXChem and @LatinXinChE. Submit your work and win cash prizes for best poster in our category!
High-Performance Iridium–Molybdenum Oxide Electrocatalysts for Water Oxidation in Acid: Bayesian Optimization Discovery and Experimental Testing | Journal of the American Chemical Society pubs.acs.org/doi/10.1021/jac…
Bryan R. Goldsmith retweeted
In this new paper in JACS (with Bryan Goldsmith grp), we report on Bayesian optimization screening of large phase space of oxide electrocatalysts for water oxidation in acid and discuss rigorous ways to experimental test these materials : pubs.acs.org/doi/10.1021/jac…..
Substituent Impact on Quinoxaline Performance and Degradation in Redox Flow Batteries doi.org/10.1021/jacs.3c10454 @UMengineering @McNeilGroup w/ Xun Huan and David Kwabi
Congrats to Tosin for his collaborative research on helping to understand the selective catalytic reduction of CO2 to CO by an iron-alkali complex via DFT and microkinetics modeling. doi.org/10.1021/acscatal.3c0…





