Francesco Di Natale - Concepedia

Author

Francesco Di Natale

Lawrence Livermore National Laboratory ORCID

Also Known As

Di Natale, Francesco, Francesco Di Natale

Publications

466

Citations

H-Index

Concepts

All Affiliations

Lawrence Livermore National Laboratory Los Alamos National Laboratory Frederick National Laboratory for Cancer Research Oak Ridge National Laboratory San Jose State University

About

Francesco Di Natale is an author at Lawrence Livermore National Laboratory specializing in engineering, computer science, and computer engineering.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	5	5	118
2	Medicine	1	1	28
3	Natural Sciences	1	1	19
4	Applied Physics	1	1	19
5	Cellular Physiology	1	1	28

Francesco Di Natale

Publications

441

Citations

H-Index

Page 1

	Year	Citations
Capturing Phase Behavior of Ternary Lipid Mixtures with a Refined Martini Coarse-Grained Force Field Timothy S. Carpenter, César A. López, Chris Neale, Journal of Chemical Theory and Computation	2018	96
Machine learning–driven multiscale modeling reveals lipid-dependent dynamics of RAS signaling proteins Helgi I. Ingólfsson, Chris Neale, Timothy S. Carpenter, Proceedings of the National Academy of Sciences	2022	84
A massively parallel infrastructure for adaptive multiscale simulations Francesco Di Natale, Harsh Bhatia, Timothy S. Carpenter,	2019	55
Machine Learning-Driven Multiscale Modeling: Bridging the Scales with a Next-Generation Simulation Infrastructure Helgi I. Ingólfsson, Harsh Bhatia, Fikret Aydin, Journal of Chemical Theory and Computation	2023	39
Enabling machine learning-ready HPC ensembles with Merlin J. L. Peterson, Ben Bay, J. M. Koning, Future Generation Computer Systems EngineeringMachine LearningMachine Learning ToolPredictive AnalyticsComputer Science	2022	36
Exploring CRD mobility during RAS/RAF engagement at the membrane Kien Nguyen, César A. López, Chris Neale, Biophysical Journal Biomedical ResearchMembrane TransportBiophysical AspectMembrane BiologyElectrophysiology	2022	28
Generalizable coordination of large multiscale workflows Harsh Bhatia, Francesco Di Natale, Joseph Y. Moon, Cluster ComputingEngineeringMachine LearningWorkflow TechnologiesComputer Architecture	2021	26
Comparing GPU Power and Frequency Capping: A Case Study with the MuMMI Workflow Tapasya Patki, Zachary Frye, Harsh Bhatia, Cluster ComputingEngineeringGpu BenchmarkingEnergy EfficiencyComputer Architecture	2019	25
Asynchronous Reciprocal Coupling of Martini 2.2 Coarse-Grained and CHARMM36 All-Atom Simulations in an Automated Multiscale Framework César A. López, Xiaohua Zhang, Fikret Aydin, Journal of Chemical Theory and Computation EngineeringMaterial SimulationMolecular BiologyMultiscale MaterialMultiscale Molecular Dynamics	2022	19
Merlin: Enabling Machine Learning-Ready HPC Ensembles J. L. Peterson, Rushil Anirudh, Kevin Athey, arXiv (Cornell University) Cluster ComputingEngineeringMachine LearningMachine Learning ToolComputer Architecture	2019	12

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