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JMIR Formative Research|August 16, 2021
Semisupervised Deep Learning Techniques for Predicting Acute Respiratory Distress Syndrome From Time-Series Clinical Data: Model Development and Validation StudyCarson Lam, Chak Foon Tso, Abigail Green-Saxena, et al.The Journal of Chemical Physics|April 20, 2005
How many dimensions are required to approximate the potential energy landscape of a model protein?Tamiki Komatsuzaki, Kyoko Hoshino, Yasuhiro Matsunaga, et al.Journal of Chemical Theory and Computation|November 18, 2015
Structures and Energy Landscapes of Hydrated Sulfate ClustersLewis C Smeeton, James D Farrell, Mark T Oakley, et al.The Journal of Physical Chemistry Letters|July 26, 2023
On the Mechanism of Polaritonic Rate Suppression from Quantum Transition PathsMichelle C Anderson, Esmae J Woods, Thomas P Fay, et al.Journal of Chemical Theory and Computation|October 22, 2016
Coarse-Grained Simulations Complemented by Atomistic Molecular Dynamics Provide New Insights into Folding and Unfolding of Human Telomeric G-QuadruplexesPetr Stadlbauer, Liuba Mazzanti, Tristan Cragnolini, et al.Journal of Computational Chemistry|October 4, 2016
QTAIM and stress tensor interpretation of the (H2 O)5 potential energy surfaceTianlv Xu, James Farrell, Yuning Xu, et al.Biophysical Chemistry|October 20, 2023
Energy landscapes for proteins described by the UNRES coarse-grained potentialPatryk A Wesołowski, Adam K Sieradzan, Michał J Winnicki, et al.Journal of the American Chemical Society|September 4, 2019
Temperature Controls Guest Uptake and Release from Zn4L4 TetrahedraDawei Zhang, Tanya K Ronson, Songül Güryel, et al.The Journal of Chemical Physics|September 10, 2025
The energy landscape of folding in n-C14H30 described by a machine-learned potentialThomas C Allison, Joel M Bowman, Paul L Houston, et al.The Journal of Physical Chemistry. B|January 31, 2014
Proton transfer pathways, energy landscape, and kinetics in creatine-water systemsOlga Ivchenko, Chris S Whittleston, Joanne M Carr, et al.Pageof 30