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

Isaac Tamblyn

Showing results (1-10 of 31) with videos related to

Pageof 4
Sort By:
The Journal of Physical Chemistry. A|November 28, 2013
Reply to "comment on 'prebiotic chemistry within a simple impacting icy mixture'"Nir Goldman, Isaac Tamblyn
Physical Review. E|June 25, 2020
Learning to grow: Control of material self-assembly using evolutionary reinforcement learningStephen Whitelam, Isaac Tamblyn
The Journal of Physical Chemistry. A|May 4, 2013
Prebiotic chemistry within a simple impacting icy mixtureNir Goldman, Isaac Tamblyn
Physical Review Letters|July 16, 2021
Neuroevolutionary Learning of Particles and Protocols for Self-AssemblyStephen Whitelam, Isaac Tamblyn
Physical Review. E|August 16, 2023
Cellular automata can classify data by inducing trajectory phase coexistenceStephen Whitelam, Isaac Tamblyn
Physical Review. E|May 20, 2018
Deep neural networks for direct, featureless learning through observation: The case of two-dimensional spin modelsKyle Mills, Isaac Tamblyn
Physical Review Letters|April 7, 2010
Structure and phase boundaries of compressed liquid hydrogenIsaac Tamblyn, Stanimir A Bonev
The Journal of Chemical Physics|April 15, 2010
A note on the metallization of compressed liquid hydrogenIsaac Tamblyn, Stanimir A Bonev
Nature Communications|February 29, 2024
Learning stochastic dynamics and predicting emergent behavior using transformersCorneel Casert, Isaac Tamblyn, Stephen Whitelam
The Journal of Chemical Physics|August 6, 2020
Evolutionary reinforcement learning of dynamical large deviationsStephen Whitelam, Daniel Jacobson, Isaac Tamblyn
Pageof 4

Showing results (1-10 of 31) with videos related to

Sort By:
Pageof 4
The Journal of Physical Chemistry. A|November 28, 2013
Reply to "comment on 'prebiotic chemistry within a simple impacting icy mixture'"Nir Goldman, Isaac Tamblyn
Physical Review. E|June 25, 2020
Learning to grow: Control of material self-assembly using evolutionary reinforcement learningStephen Whitelam, Isaac Tamblyn
The Journal of Physical Chemistry. A|May 4, 2013
Prebiotic chemistry within a simple impacting icy mixtureNir Goldman, Isaac Tamblyn
Physical Review Letters|July 16, 2021
Neuroevolutionary Learning of Particles and Protocols for Self-AssemblyStephen Whitelam, Isaac Tamblyn
Physical Review. E|August 16, 2023
Cellular automata can classify data by inducing trajectory phase coexistenceStephen Whitelam, Isaac Tamblyn
Physical Review. E|May 20, 2018
Deep neural networks for direct, featureless learning through observation: The case of two-dimensional spin modelsKyle Mills, Isaac Tamblyn
Physical Review Letters|April 7, 2010
Structure and phase boundaries of compressed liquid hydrogenIsaac Tamblyn, Stanimir A Bonev
The Journal of Chemical Physics|April 15, 2010
A note on the metallization of compressed liquid hydrogenIsaac Tamblyn, Stanimir A Bonev
Nature Communications|February 29, 2024
Learning stochastic dynamics and predicting emergent behavior using transformersCorneel Casert, Isaac Tamblyn, Stephen Whitelam
The Journal of Chemical Physics|August 6, 2020
Evolutionary reinforcement learning of dynamical large deviationsStephen Whitelam, Daniel Jacobson, Isaac Tamblyn
Pageof 4