Publications

Results 1–25 of 9,998

Search results

Jump to search filters

The Ground Truth Program: Simulations as Test Beds for Social Science Research Methods.

Computational and Mathematical Organization Theory

Naugle, Asmeret B.; Russell, Adam; Lakkaraju, Kiran L.; Swiler, Laura P.; Verzi, Stephen J.; Romero, Vicente J.

Social systems are uniquely complex and difficult to study, but understanding them is vital to solving the world’s problems. The Ground Truth program developed a new way of testing the research methods that attempt to understand and leverage the Human Domain and its associated complexities. The program developed simulations of social systems as virtual world test beds. Not only were these simulations able to produce data on future states of the system under various circumstances and scenarios, but their causal ground truth was also explicitly known. Research teams studied these virtual worlds, facilitating deep validation of causal inference, prediction, and prescription methods. The Ground Truth program model provides a way to test and validate research methods to an extent previously impossible, and to study the intricacies and interactions of different components of research.

More Details
TYPE Journal Article YEAR 2022
DOIOSTIDOIOSTI

$\mathrm{LAMMPS}$ - a flexible simulation tool for particle-based materials modeling at the atomic, meso, and continuum scales

Computer Physics Communications

Thompson, Aidan P.; Aktulga, H.M.; Berger, Richard; Bolintineanu, Dan S.; Brown, W.M.; Crozier, Paul C.; In 'T Veld, Pieter J.; Kohlmeyer, Axel; Moore, Stan G.; Nguyen, Trung D.; Shan, Ray; Stevens, Mark J.; Tranchida, Julien; Trott, Christian R.; Plimpton, Steven J.

Since the classical molecular dynamics simulator LAMMPS was released as an open source code in 2004, it has become a widely-used tool for particle-based modeling of materials at length scales ranging from atomic to mesoscale to continuum. Reasons for its popularity are that it provides a wide variety of particle interaction models for different materials, that it runs on any platform from a single CPU core to the largest supercomputers with accelerators, and that it gives users control over simulation details, either via the input script or by adding code for new interatomic potentials, constraints, diagnostics, or other features needed for their models. As a result, hundreds of people have contributed new capabilities to LAMMPS and it has grown from fifty thousand lines of code in 2004 to a million lines today. In this paper several of the fundamental algorithms used in LAMMPS are described along with the design strategies which have made it flexible for both users and developers. We also highlight some capabilities recently added to the code which were enabled by this flexibility, including dynamic load balancing, on-the-fly visualization, magnetic spin dynamics models, and quantum-accuracy machine learning interatomic potentials.

More Details
TYPE Journal Article YEAR 2021
DOIOSTI
Results 1–25 of 9,998
Results 1–25 of 9,998