How to validate machine-learned interatomic potentials von Morrow, Joe D., Gardner, John L. A., Deringer, Volker L.

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How to write a retrospective observational study von Gardner, A. L., Charlesworth, M.

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Synthetic pre-training for neural-network interatomic potentials von Gardner, John L A, Baker, Kathryn T, Deringer, Volker L

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Using spectroscopy to probe relaxation, decoherence, and localization of photoexcited states in π-conjugated polymers von Barford, William, Gardner, John L. A, Mannouch, Jonathan R

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It's past your bedtime, but does it matter anymore? How longitudinal changes in bedtime rules relate to adolescents’ sleep von Bauducco, S. V., Gardner, L. A., Champion, K., Newton, N., Gradisar, M.

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Playing for more than winning: Exploring sports participation, physical activity, and belongingness and their relationship with patterns of adolescent substance use and mental heal... von Halladay, J, Ogrodnik, M, Farag Alla, J, Sunderland, M, Gardner, L A, Georgiades, K

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Changing Middle Schoolers' Attitudes About Mental Illness Through Education von Watson, Amy C., Otey, Emeline, Westbrook, Anne L., Gardner, April L., Lamb, Theodore A., Corrigan, Patrick W., Fenton, Wayne S.

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Anxiety, depression and distress outcomes from the Health4Life intervention for adolescent mental health: a cluster-randomized controlled trial von Smout, S., Champion, K. E., O’Dean, S., Teesson, M., Gardner, L. A., Newton, N. C.

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Coarse-grained versus fully atomistic machine learning for zeolitic imidazolate frameworks von Faure Beaulieu, Zoé, Nicholas, Thomas C., Gardner, John L. A., Goodwin, Andrew L., Deringer, Volker L.

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Data as the next challenge in atomistic machine learning von Ben Mahmoud, Chiheb, Gardner, John L A, Deringer, Volker L

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Synthetic data enable experiments in atomistic machine learning von Gardner, John L. A, Faure Beaulieu, Zoé, Deringer, Volker L

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Influence of venular prostaglandin release on arteriolar diameter during functional hyperemia von MCKAY, M. K, GARDNER, A. L, BOYD, D, HESTER, R. L

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Susceptibility to severe streptococcal sepsis: use of a large set of isogenic mouse lines to study genetic and environmental factors von Aziz, R K, Kansal, R, Abdeltawab, N F, Rowe, S L, Su, Y, Carrigan, D, Nooh, M M, Attia, R R, Brannen, C, Gardner, L A, Lu, L, Williams, R W, Kotb, M

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Inactivation of the p16 Cyclin-Dependent Kinase Inhibitor in High-Grade Canine Non-Hodgkin's T-Cell Lymphoma von Fosmire, S.P, Thomas, R, Jubala, C.M, Wojcieszyn, J.W, Valli, V.E.O, Getzy, D.M, Smith, T.L, Gardner, L.A, Ritt, M.G, Bell, J.S, Freeman, K.P, Greenfield, B.E, Lana, S.E, Kisseberth, W.C, Helfand, S.C, Cutter, G.R, Breen, M, Modiano, J.F

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Young people's evaluation of an online mental health prevention program for secondary school students: A mixed-methods formative study von Bailey, S., Grummitt, L., Birrell, L., Kelly, E., Gardner, L.A., Champion, K.E., Chapman, C., Teesson, M., Barrett, E.L., Newton, N.

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National Biological Service von Gardner, Alfred L.

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Coarse-grained fully atomistic machine learning for zeolitic imidazolate frameworks von Faure Beaulieu, Zoé, Nicholas, Thomas C, Gardner, John L. A, Goodwin, Andrew L, Deringer, Volker L

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A fully integrated environment for layered development in information systems von LA, Gardner, RJ, Paul

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How to validate machine-learned interatomic potentials von Morrow, Joe D, Gardner, John L A, Deringer, Volker L

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Endothelial seeding of polytetrafluoroethylene popliteal bypasses: a preliminary report von HERRING, M. B, COMPTON, R. S, LE GRAND, D. R, GARDNER, A. L, MADISON, D. L, GLOVER, J. L

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