Blar i SINTEF Open på tidsskrift "Scientific Reports"
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Silicon-carbon composite anodes from industrial battery grade silicon
(Journal article; Peer reviewed, 2019)In this work, silicon/carbon composites for anode electrodes of Li-ion batteries are prepared from Elkem’s Silgrain® line. Gentle ball milling is used to reduce particle size of Silgrain, and the resulting Si powder consists ... -
Small molecule inhibitor of OGG1 blocks oxidative DNA damage repair at telomeres and potentiates methotrexate anticancer effects
(Peer reviewed; Journal article, 2021)The most common oxidative DNA lesion is 8-oxoguanine which is mainly recognized and excised by the 8-oxoG DNA glycosylase 1 (OGG1), initiating the base excision repair (BER) pathway. Telomeres are particularly sensitive ... -
Substoichiometric Silicon Nitride – An Anode Material for Li-ion Batteries Promising High Stability and High Capacity
(Journal article; Peer reviewed, 2018)Silicon is often regarded as a likely candidate to replace graphite as the main active anode material in next-generation lithium ion batteries; however, a number of problems impacting its cycle stability have limited its ... -
The Direction of Tumour Growth in Glioblastoma Patients
(Journal article; Peer reviewed, 2018)Generating MR-derived growth pattern models for glioblastoma multiforme (GBM) has been an attractive approach in neuro-oncology, suggesting a distinct pattern of lesion spread with a tendency in growing along the white ... -
Variational multiscale reinforcement learning for discovering reduced order closure models of nonlinear spatiotemporal transport systems
(Peer reviewed; Journal article, 2022)A central challenge in the computational modeling and simulation of a multitude of science applications is to achieve robust and accurate closures for their coarse-grained representations due to underlying highly nonlinear ... -
Vision transformer and explainable transfer learning models for auto detection of kidney cyst, stone and tumor from CT-radiography
(Peer reviewed; Journal article, 2022)Renal failure, a public health concern, and the scarcity of nephrologists around the globe have necessitated the development of an AI-based system to auto-diagnose kidney diseases. This research deals with the three major ...