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Let's Reflect

We're not bringing you an episode this week. We're taking some time to think about the systems we take part in and how those perpetuate anti black racism and the effects of that on the work in this field. We'd like to bring you meaningful conversations around those systems and how we...

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arXiv Whitepapers

Charge Transfer into Organic Thin Films: A Deeper Insight through Machine‐Learning‐Assisted Structure Search

Density functional theory calculations are combined with machine learning to investigate the coverage‐dependent charge transfer at the tetracyanoethylene/Cu(111) hybrid organic/inorganic interface. The study finds two different monolayer phases, which exhibit a qualitatively different charge...

Knowledge-primed neural networks enable biologically interpretable deep learning on single-cell sequencing data

Background Deep learning has emerged as a versatile approach for predicting complex biological phenomena. However, its utility for biological discovery has so far been limited, given that generic deep neural networks provide little insight into the biological mechanisms that underlie a successful...

New technologies in the mix: Assessing N‐mixture models for abundance estimation using automated detection data from drone surveys

Reliable estimates of abundance are critical in effectively managing threatened species, but the feasibility of integrating data from wildlife surveys completed using advanced technologies such as remotely piloted aircraft systems (RPAS) and machine learning into abundance estimation methods such as...