Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Patrick G Sahrmann

Showing results (1-10 of 12) with videos related to

Pageof 2
Sort By:
Biophysical Journal|February 21, 2025
Understanding the coarse-grained free energy landscape of phospholipids and their phase separationPatrick G Sahrmann, Gregory A Voth
The Journal of Chemical Physics|January 22, 2025
Entropy-based methods for formulating bottom-up ultra-coarse-grained modelsPatrick G Sahrmann, Gregory A Voth
Journal of Chemical Theory and Computation|November 13, 2024
Enhancing the Assembly Properties of Bottom-Up Coarse-Grained PhospholipidsPatrick G Sahrmann, Gregory A Voth
Current Opinion in Structural Biology|January 3, 2025
On the emergence of machine-learning methods in bottom-up coarse-grainingPatrick G Sahrmann, Gregory A Voth
The Journal of Chemical Physics|July 22, 2025
Coarse-graining in quantum mechanics: Distinguishable and indistinguishable particlesPatrick G Sahrmann, Gregory A Voth
The Journal of Physical Chemistry. B|September 27, 2025
Bottom-up Coarse-Grained Models of Asymmetric MembranesAyan Majumder, Patrick G Sahrmann, Gregory A Voth
Journal of Chemical Theory and Computation|September 14, 2022
Centroid Molecular Dynamics Can Be Greatly Accelerated through Neural Network Learned Centroid Forces Derived from Path Integral Molecular DynamicsTimothy D Loose, Patrick G Sahrmann, Gregory A Voth
The Journal of Physical Chemistry. B|November 30, 2023
Coarse-Graining with Equivariant Neural Networks: A Path Toward Accurate and Data-Efficient ModelsTimothy D Loose, Patrick G Sahrmann, Thomas S Qu, et al.
Journal of Chemical Theory and Computation|October 3, 2024
Changing Your Martini Can Still Give You a HangoverTimothy D Loose, Patrick G Sahrmann, Thomas S Qu, et al.
Journal of Chemical Theory and Computation|February 21, 2023
Utilizing Machine Learning to Greatly Expand the Range and Accuracy of Bottom-Up Coarse-Grained Models through Virtual ParticlesPatrick G Sahrmann, Timothy D Loose, Aleksander E P Durumeric, et al.
Pageof 2

Showing results (1-10 of 12) with videos related to

Sort By:
Pageof 2
Biophysical Journal|February 21, 2025
Understanding the coarse-grained free energy landscape of phospholipids and their phase separationPatrick G Sahrmann, Gregory A Voth
The Journal of Chemical Physics|January 22, 2025
Entropy-based methods for formulating bottom-up ultra-coarse-grained modelsPatrick G Sahrmann, Gregory A Voth
Journal of Chemical Theory and Computation|November 13, 2024
Enhancing the Assembly Properties of Bottom-Up Coarse-Grained PhospholipidsPatrick G Sahrmann, Gregory A Voth
Current Opinion in Structural Biology|January 3, 2025
On the emergence of machine-learning methods in bottom-up coarse-grainingPatrick G Sahrmann, Gregory A Voth
The Journal of Chemical Physics|July 22, 2025
Coarse-graining in quantum mechanics: Distinguishable and indistinguishable particlesPatrick G Sahrmann, Gregory A Voth
The Journal of Physical Chemistry. B|September 27, 2025
Bottom-up Coarse-Grained Models of Asymmetric MembranesAyan Majumder, Patrick G Sahrmann, Gregory A Voth
Journal of Chemical Theory and Computation|September 14, 2022
Centroid Molecular Dynamics Can Be Greatly Accelerated through Neural Network Learned Centroid Forces Derived from Path Integral Molecular DynamicsTimothy D Loose, Patrick G Sahrmann, Gregory A Voth
The Journal of Physical Chemistry. B|November 30, 2023
Coarse-Graining with Equivariant Neural Networks: A Path Toward Accurate and Data-Efficient ModelsTimothy D Loose, Patrick G Sahrmann, Thomas S Qu, et al.
Journal of Chemical Theory and Computation|October 3, 2024
Changing Your Martini Can Still Give You a HangoverTimothy D Loose, Patrick G Sahrmann, Thomas S Qu, et al.
Journal of Chemical Theory and Computation|February 21, 2023
Utilizing Machine Learning to Greatly Expand the Range and Accuracy of Bottom-Up Coarse-Grained Models through Virtual ParticlesPatrick G Sahrmann, Timothy D Loose, Aleksander E P Durumeric, et al.
Pageof 2