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Faraday Discussions|September 23, 2024
Are we fitting data or noise? Analysing the predictive power of commonly used datasets in drug-, materials-, and molecular-discoveryDaniel Crusius, Flaviu Cipcigan, Philip C BigginFaraday Discussions|September 19, 2024
Combined 7Li NMR, density functional theory and operando synchrotron X-ray powder diffraction to investigate a structural evolution of cathode material LiFeV2O7Taiana L E Pereira, Jon Serrano Sevillano, Beatriz D Moreno, et al.Faraday Discussions|September 19, 2024
NMR crystallization: in situ NMR strategies for monitoring the evolution of crystallization processesColan E Hughes, Naomi V Ratnasingam, P Andrew Williams, et al.Faraday Discussions|September 16, 2024
Gaussian processes for finite size extrapolation of many-body simulationsEdgar Josué Landinez Borda, Kenneth O Berard, Annette Lopez, et al.Faraday Discussions|September 16, 2024
First-principles NMR of oxide glasses boosted by machine learningThibault CharpentierFaraday Discussions|October 11, 2024
Temperature-induced mobility in octacalcium phosphate impacts crystal symmetry: water dynamics studied by NMR crystallographyAdam Nelson, Wassilios Papawassiliou, Subhradip Paul, et al.Faraday Discussions|October 9, 2024
A machine learning approach for dynamical modelling of Al distributions in zeolites via23Na/27Al solid-state NMRChen Lei, Carlos Bornes, Oscar Bengtsson, et al.Faraday Discussions|November 22, 2024
Concluding remarks: Faraday Discussion on data-driven discovery in the chemical sciencesAndrew I CooperFaraday Discussions|November 27, 2024
A micropore nanoband electrode array for enhanced electrochemical generation/analysis in flow systemsFiona Moore, Ilka Schmueser, Jonathan G Terry, et al.Faraday Discussions|October 21, 2024
Molecular sandwich-based DNAzyme catalytic reaction towards transducing efficient nanopore electrical detection of antigen proteinsLebing Wang, Shuo Zhou, Yunjiao Wang, et al.Pageof 379