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Quinn Campbell on Muck Rack

Quinn Campbell

Verified
Lethbridge
As seen in: CISA-TV (Lethbridge, AB), Global News, MSN Canada, Nature, CFRE-TV (Regina, SK), CICT-TV (Calgary, AB), Royal Society of Chemistry, BioRxiv, Physical Review B, AIP Publishing, BUST Magazine, Fire Fighting in Canada and
Digital Journalist/Anchor for Global News. Cattle owner and horse fanatic.
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Articles

First-Principles Dissociation Pathways of BCl3 on the Si(100)-2 × 1 Surface

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By Quinn Campbell Verified, Shashank Misra, Jeffrey A. Ivie
| dx.doi.org
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Prioritizing parents from global genebanks to breed climate-resilient crops - Nature Climate Change

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By Quinn Campbell Verified, Nora P. Castañeda-Álvarez, Ryan Domingo, Eric Bishop-von Wettberg, Bryan Runck, Anna McCormick, Nathan Fumia, Jeffrey L Neyhart, Benjamin Kilian, Peterson Wambugu, Desterio O. Nyamongo, Sariel Hubner, Addie Thompson, Loren H. Rieseberg, Michael Gore, Hervé Nandkangré, Sidney Sitar
| Nature Verified
Abstract Crop diversity is an essential resource for global breeding programmes aimed at climate resilience. However, adaptation depends both on whether genetic diversity exists and if it is accessible. Here we consider the biological and social risks of crop adaptation at global and national levels using 1,937 publicly available genotyped and georeferenced accessions of sorghum, a staple crop for subsistence farmers.
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Optimizing temperature distributions for training neural quantum states using parallel tempering

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By Conor Smith, Quinn Campbell Verified, Tameem Albash
| Physical Review B
Parametrized artificial neural networks (ANNs) can be very expressive ansatzes for variational algorithms, reaching state-of-the-art energies on many quantum many-body Hamiltonians. Nevertheless, the training of the ANN can be slow and stymied by the presence of local minima in the parameter landscape. One approach to mitigate this issue is to use parallel tempering methods, and in this work, we focus on the role played by the temperature distribution of the parallel tempering replicas.
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