Anton’s work on ‘Unsupervised classification of single-molecule data with autoencoders and transfer learning’ was accepted to Machine Learning: Science and Technology. Unsupervised classification of single-molecule data with autoencoders and transfer learning Anton Vladyka and Tim Albrecht. Machine Learning: Science and Technology 1, 35013 (2020) [Show/hide abstract] Datasets from single-molecule experiments often reflect a large variety […]
During these unusual and uncertain times, the Albrecht Group has managed to adapt to life working from home (#WFH). Our group activities have been summarized below: Nashwa submitted a manuscript to ECS Transactions for the 237th Meeting of the Electrochemical Chemical Society issue. The paper discusses aspects of her Masters research project of thiolated nanoparticles […]
“Electric Single-Molecule Hybridization Detector for Short DNA Fragments”, https://pubs.acs.org/doi/abs/10.1021/acs.analchem.8b04357 (still with the Imperial crowd!)
We welcome Nashwa Awais who starts her project in the group. She will work on the nanoparticles.
We are pleased to welcome Oliver Irving as a new member in our group. Oliver will work on a project around nanopore/pipette sensing for disease diagnostics/monitoring and sepsis in particular.
They will works on the projects related to Machine Learning and Single-Molecule Detection…
In his project, we will look at programmed self-assembly, in collaboration with Dr Dwaipayan Chakrabarti at UoB!
Joint work between the Albrecht, Long and Cohen groups at UoB and Imperial College: ‘Cross-plane Conductance through a Graphene/Molecular Monolayer/Au Sandwich’ Cross-plane conductance through a graphene/molecular monolayer/Au sandwich Bing Li, Marjan Famili, Evangelina Pensa, Iain Grace, Nicholas J. Long, Colin Lambert, Tim Albrecht, and Lesley F. Cohen. Nanoscale 10, 19791–19798 (2018) [Show/hide abstract] Experimental scalability […]