292 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Imperial College LondonGB3 papers
- Syngenta (Switzerland)CH2 papers
- Autonomous University of ChihuahuaMX1 paper
- Berry Gardens (United Kingdom)GB1 paper
- Canadian Institute for Advanced ResearchCA1 paper
- Durham UniversityGB1 paper
- East Malling Research (United Kingdom)GB1 paper
- École Polytechnique Fédérale de LausanneCH1 paper
- Fordham UniversityUS1 paper
- Freie Universität BerlinDE1 paper
- Friedrich Schiller University JenaDE1 paper
- IBM Research - ZurichCH1 paper
6 papers
Surface Material Dependence in Powder Triboelectric Charging
Tom F. O'Hara, Ellen Player, Graham Ackroyd +2
Triboelectric charging of granular materials against container walls is a critical yet poorly understood phenomenon affecting many industrial powder handling processes. Charge accu…
Convolutional Neural Network Ensemble Learning for Hyperspectral Imaging-based Blackberry Fruit Ripeness Detection in Uncontrolled Farm Environment
Chollette C. Olisah, Ben Trewhella, Bo Li +5
Fruit ripeness estimation models have for decades depended on spectral index features or colour-based features, such as mean, standard deviation, skewness, colour moments, and/or h…
SELFIES and the future of molecular string representations
Mario Krenn, Qianxiang Ai, Senja Barthel +28
Artificial intelligence (AI) and machine learning (ML) are expanding in popularity for broad applications to challenging tasks in chemistry and materials science. Examples include…
Physics-Informed Deep Learning Characterizes Morphodynamics of Asian Soybean Rust Disease
Henry Cavanagh, Andreas Mosbach, Gabriel Scalliet +2
Medicines and agricultural biocides are often discovered using large phenotypic screens across hundreds of compounds, where visible effects of whole organisms are compared to gauge…
Considerations for using reproduction data in toxicokinetic-toxicodynamic modelling
Tjalling Jager, Marie Trijau, Neil Sherborne +2
Toxicokinetic-toxicodynamic (TKTD) modelling is essential to make sense of the time dependence of toxic effects, and to interpret and predict consequences of time-varying exposure.…
Measuring Bilayer Surface Energy and Curvature in Asymmetric Droplet Interface Bilayers
Nathan E. Barlow, Halim Kusumaatmaja, Ali Salehi-Reyhani +4
For the past decade, droplet interface bilayers (DIBs) have had an increased prevalence in biomolecular and biophysical literature. However, much of the underlying physics of these…