Publications by authors named "G Svensson"

The phase evolution of Li-rich Li-Mn-Ni-(Al)-O cathode materials upon heat treatments in the air at 900 °C was studied by X-ray and neutron powder diffraction. In addition, the structures of LiMnAl NiO, x = 0.0, 0.

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An empirical study was conducted to find the role of the Organizational Complexity (OC) on the Business Innovation Model (BMI) when companies are using an Enterprise Resource Planning (ERP). Three different profiles were contacted in the companies (General Manager, Information Technology Manager and Purchasing Manager). A data collection process through a questionnaire survey was conducted, 132 informants participated in the study, however, 28 of them reported they were not using an ERP in their company.

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Article Synopsis
  • - Researchers investigated honey bee health issues and colony losses across Europe using MALDI profiling (MALDI BeeTyping®) to analyze the immune status of bees by examining their haemolymph peptidome in relation to environmental and management factors.
  • - The study involved 128 agricultural sites in eight European countries, focusing on two crop types: oilseed rape and apple, assessing how various stressors impacted honey bee immunity markers—specifically antimicrobial peptides (AMPs).
  • - A machine learning model achieved 90.6% accuracy in identifying the crop type from bee samples, indicating that this technology can be a valuable and cost-effective method for monitoring bee health and guiding policymaking.
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Lithium-rich, cobalt-free oxides are promising potential positive electrode materials for lithium-ion batteries because of their high energy density, lower cost, and reduced environmental and ethical concerns. However, their commercial breakthrough is hindered because of their subpar electrochemical stability. This work studies the effect of aluminum doping on LiNiMnO as a lithium-rich, cobalt-free layered oxide.

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Evaporation of cloud droplets accelerates when turbulence mixes dry air into the cloud, affecting droplet-size distributions in atmospheric clouds, combustion sprays, and jets of exhaled droplets. The challenge is to model local correlations between droplet numbers, sizes, and supersaturation, which determine supersaturation fluctuations along droplet paths (Lagrangian fluctuations). We derived a statistical model that accounts for these correlations.

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