Using Bayesian parameter estimation to learn more from data without black boxes
Published in Nature Reviews Physics, 2024 (lead author)
An invited Comment piece evangelizing BPE!
Note: This list is no longer updated. You can find my articles on my Google Scholar profile.
Published in Nature Reviews Physics, 2024 (lead author)
An invited Comment piece evangelizing BPE!
Published in Journal of Physical Chemistry Letters, 2023 (lead author)
(Software for) Building phase stability maps for any electrochemical kinetic model
Published in MRS Bulletin, 2022 (lead author)
I co-lead an invited perspective piece summarizing our ARPA-E DIFFERENTIATE project on electrochemical materials discvoery.
Published in ACS Energy Letters, 2021
Giant collaboration to try to set some standards for verifiability/reproducibility in theoretical/computational battery research.
Published in Journal of Chemical Physics, 2020 (lead author)
My first real contribution in electrochemistry! And some fun Julia coding to boot.
Published in Journal of Photovoltaics, 2020 (lead author)
Last big chunk of my PhD work, fitting SRH parameters for iron in silicon using Bayesian parameter estimation
Published in MIT Libraries, 2019 (lead author)
My PhD thesis! Now available online through MIT DSpace.
Published in Computer Physics Communications, 2019 (lead author)
Code release paper for Bayesim, my Bayesian inference Python package. For more information, see the website.
Published in Chemistry of Materials, 2018 (lead author)
This was my first lead-author publication! It describes the core of my defect tolerance work that will appear in my PhD thesis.
Published in Chemistry of Materials, 2018
This is a primarily experimental paper which was led by my former postdoc mentor, Juan-Pablo Correa-Baena (now a professor at GA Tech!). He was having some interesting problems with phase impurities in the samples he was growing and I performed some DFT calculations to help explain the observations.
Published in Chemistry of Materials, 2017
I contributed some DFT calculations to this paper.
Published in Joule, 2017
This was our first paper on the Bayesian inference work, led primarily by my former grad student mentor Riley. He designed the study, we both wrote some of the code, and I did most of the data analysis.
Published in Advanced Materials, 2017
Another joint experimental-computational paper. I ran some DFT defect energy calculations for this work.
Published in ACS Nano, 2017
I contributed DFT defect calculations to this work, helping to determine the most likely sites and charge states of iron defects in hybrid lead halide perovskites.
Published in Chemistry of Materials, 2017
This was a big capstone of our early materials search efforts. I worked on the defect calculations and also grew the bismuth iodide samples.
Published in Chemistry of Materials, 2017
I participated in the workshop that led to this (GIANT author list!) paper, in particular the XRD part.
Published in Energy & Environmental Science, 2016
A really cool collaborative effort to apply our existing technoeconomic models towards climate change goals. I helped collate data and design the analysis.
Published in International Journal of Remote Sensing, 2016
A paper that grew out of my summer research at the Weizmann Institute back in 2011 and used some of the code I wrote back then.
Published in Chemistry - A European Journal, 2015
I worked on characterization for this paper.
Published in The Journal of Physical Chemistry Letters, 2015
Early materials search efforts. I helped build the furnace, grow samples, and do characterization for this work.