Besides the focus to understand the system dynamics governing interdependencies within the natural-human system, this area seeks to advance scientists' understanding of system nonlinearity and instability associated with multiple stressors that can lead to cascading failures in connected sectors and systems. An important characteristic of nonlinearity and system failure is the probabilistic interdependence near thresholds associated with extreme weather, severe drought, and infrastructure vulnerability. Consequently, MultiSector Dynamics supports the development of interoperable tools and methods for integration with agile, flexible earth system modeling frameworks, revealing a basic understanding of different levels of complexity required to analyze interdependency.
MultiSector Dynamics efforts are necessary to understand the nonlinear science involving natural-human interdependency and feedbacks on the earth system. This program area helps shape fundamental understanding of complex stressors on human systems and infrastructure, vulnerabilities and risks at the energy-water-land nexus, multisector dynamics, and more generally, implications for regional and global economic development in the face of changing weather patterns and extremes, advances in technology, availability of natural resources, and feedbacks to natural systems, including regional and global climates.
Our mission is to create and make accessible novel data on the dynamics of the labor markets, we work with research networks and statistical agencies, developing appropriate statistics to inform policy makers, researchers, and simply people seeking knowledge. We emphasize and meet the requirements of stakeholders: users as well as providers, balancing the utility of the data with the confidentiality of the people and businesses whose activities the data describe.
Pickens, A.H., Hansen, M.C., Hancher, M., Stehman, S.V., Tyukavina, A., Potapov, P., Marroquin, B., Sherani, Z., 2020. Mapping and sampling to characterize global inland water dynamics from 1999 to 2018 with full Landsat time-series. Remote Sensing of Environment 243, 111792.
Our projects run the gamut of the study of disease dynamics, from original data collection, to methodological research, to policy engagements. The group uses a combination of theoretical and empirical approaches to study transmission dynamics.
The Infectious Disease Dynamics group is made up of faculty, post-docs, graduate and undergraduate students who are interested in the dynamics of a wide span of infectious diseases, from dengue and influenza to chikungunya and SARS-CoV-2. Our origins started at the Bloomberg School of Public Health, but we have since branched out, with faculty representation across schools.
Graduate students studying fire dynamics completed a hybrid S130/S190/L80 fire certification course, granting them the title of "Firefighter Type 2" and allowing them to play a larger role in the prescribed burns and experiments we conduct as part of the Fire Dynamics program. The coursework provided exposure to fire safety, fire and weather behavior, and field work.
Since its start in 1967, the GFDI has cemented its position as the gold standard in its field, producing foundational research and core theoretical paradigms that have shaped scientific thinking about fluid dynamics in far-reaching and fundamental ways. This year, as the institute celebrates its 50th anniversary, that momentum of research and discovery continues apace.
In addition, past GFDI scholars like Albert Barcilon and Louis Howard formulated theorems and conducted studies that have proved fundamental in the field and that continue to shape research of fluid dynamics throughout the global scientific community.
The GFDI hopes to continue its legacy of leading from the front with plans to become one of the first programs in the nation to offer a doctoral program in fire dynamics and develop methods to accurately predict the onset of cold air outbreaks earlier than has ever been achieved reliably.
Tyler Bolles, a senior applied mathematics major who has conducted research on the nonequilibrium dynamics of water waves, said that the resources provided by the GFDI make the institute a dream for student researchers asking big and complicated questions.
Inspired by the seabed topography off the Gulf of Mexico, Nick Moore and his colleagues at Florida State University, Tyler Bolles and Kevin Speer, sought an explanation for this discrepancy. While a number of studies have outlined some of the dynamics that could contribute to the appearance of a rogue wave, they were curious about a less-explored but powerful mechanism: underwater cliffs.
VMD is a molecular visualization program for displaying, animating, and analyzing large biomolecular systems using 3-D graphics and built-in scripting. VMD supports computers running MacOS X, Unix, or Windows, is distributed free of charge, and includes source code.
(more details...)Spotlight Modern computers include a massively parallel graphicsprocessing unit (GPU) designed to perform geometry and lightingcalculations at blistering speeds.State of the art GPUs can perform 0.5 teraFLOPS with theirhundred cores.The tremendous computational power of GPUs was untapped by scientific computations because it could only beaccessed with difficulty until now.As reported in the Journal of Computational Chemistry, recent advancesallowing GPUs to be used for general purpose computing haveboosted the performance of a number of molecular modeling applications, includingNAMD simulations and VMD electrostatic potential calculations.The accelerated versions of theseapplications run five to one hundred times faster than on the bestCPU-based hardware, allowing a single desktop computer equipped with a GPU to provide processing power equivalentto an entire, large computing cluster. More information on GPU acceleration of molecular modeling applications is providedhere.Other Spotlights Overview Molecular representations
VMD plugin library
Molecular file formats
GPU-accelerated computing
Interactive molecular dynamics
Programs that use VMD
VMD research publications
How to cite VMD
VMD citation list (37,000 as of Mar'21)
Dynamics of chromosome organization in a minimal bacterial cell, FCDB, 2023
VMD as a Platform for Interactive Small Molecule Preparation and Visualization in Quantum and Classical Simulations, JCIM, 2023
Human Learning for Molecular Simulations: The Collective Variables Dashboard in VMD, JCTC, 2022
ANARI: A 3D Rendering API Standard, CiSE, 2022
#COVIDisAirborne: AI-Enabled Multiscale Computational Microscopy of Delta SARS-CoV-2 in a Respiratory Aerosol, IJHPCA, 2022
Intelligent Resolution: Integrating Cryo-EM with AI-Driven Multi-Resolution Simulations to Observe the SARS-CoV-2 Replication-Transcription Machinery in Action, IJHPCA, 2022
The Coronavirus in a Tiny Drop, VMD visualizations of aerosolized SARS-CoV-2, NYT, 2021
NIH Director's blog highlights neuroscience adaptation of VMD
AI-driven multiscale simulations illuminate mechanisms of SARS-CoV-2 spike dynamics, IJHPCA, 2021
Multiscale modeling and cinematic visualization of photosynthetic energy conversion processes from electronic to cell scales, J. Par. Comp. 2021
NAMD and VMD part of the team winning the ACM COVID-19 Gordon Bell Prize for 2020
The Coronavirus Unveiled, VMD visualizations of SARS-CoV-2, NYT, 2020
Scalable molecular dynamics on CPU and GPU architectures with NAMD, JCP, 2020
VMD test builds for MacOS X 10.15 "Catalina" (April 24, 2020)
Past announcements
In such a case, our Active Damping Devices provide a solution by introducing structural damping into most of the unwanted mechanical resonances. Up to 15% structural damping can be achieved, without any major redesign effort. Compared to passive dampers, the ADD are lighter and not sensitive to changes in the supporting structure dynamics.View They use our products
We examine the network dynamics that lead populations of individuals who initially disagree about which behaviors are virtuous to arrive at consistent, replicable consensus in their beliefs about virtuous behavior.
08ab062aa8