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140 results on '"I.6.3"'

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1. Scaling Molecular Dynamics with ab initio Accuracy to 149 Nanoseconds per Day

2. Machine-learning based high-bandwidth magnetic sensing

3. Estimated electric conductivities of thermal plasma for air-fuel combustion and oxy-fuel combustion with potassium or cesium seeding

4. Estimation of uncertainties in the density driven flow in fractured porous media using MLMC

5. Finite elements for Mat\'ern-type random fields: Uncertainty in computational mechanics and design optimization

6. Navigating simplicity and complexity of social-ecological systems through a dialog between dynamical systems and agent-based models

7. Elastic Analysis of Augmented Curves and Constrained Surfaces

8. Modeling Considerations for Developing Deep Space Autonomous Spacecraft and Simulators

9. Empirical model of SSUSI-derived auroral ionization rates

10. Autoregressive fragment-based diffusion for pocket-aware ligand design

11. Neutron star mass in dark matter clumps

12. A New Magneto-Micropolar Boundary Layer Model for Liquid Flows -- Effect of Micromagnetorotation (MMR)

13. A high-order finite volume method for Maxwell's equations in heterogeneous and time-varying media

14. Asymptotic soliton-like and asymptotic peakon-like solutions of the modified Camassa-Holm equation with variable coefficients and singular perturbation

15. Benchmarking of Flatness-based Control of the Heat Equation

16. lcs4Foam -- An OpenFOAM Function Object to Compute Lagrangian Coherent Structures

17. multiRegionFoam -- A Unified Multiphysics Framework for Multi-Region Coupled Continuum-Physical Problems

18. Asymptotic step-like solutions to the singularly perturbed Burgers' equation

19. Protein-protein docking using a tensor train black-box optimization method

20. Deep learning enhanced noise spectroscopy of a spin qubit environment

21. Application of the partial Dirichlet-Neumann contact algorithm to simulate low-velocity impact events on composite structures

22. Investigation of reinforcement learning for shape optimization of profile extrusion dies

23. Short term prediction of demand for ride hailing services: A deep learning approach

24. Investigating Deep Learning Model Calibration for Classification Problems in Mechanics

25. Path Planning for Concentric Tube Robots: a Toolchain with Application to Stereotactic Neurosurgery

26. A parallel algorithm for unilateral contact problems

27. Enhancing Mechanical Metamodels with a Generative Model-Based Augmented Training Dataset

28. Mode Recognition by Shape Morphing for Maxwell's Eigenvalue Problem

29. Automated generation of large-scale distribution grid models based on open data and open source software using an optimization approach

30. Learning Mechanically Driven Emergent Behavior with Message Passing Neural Networks

31. Fast fluid heating by adaptive flow reorientation

32. Exploiting the Power of Levenberg-Marquardt Optimizer with Anomaly Detection in Time Series

33. SmartGridToolbox: A Library for Simulating Modern and Future Electricity Networks

34. Stochastic Constitutive Model of Isotropic Thin Fiber Networks Based on Stochastic Volume Elements

35. The influence of structural variations on the constitutive response and strain variations in thin fibrous materials

36. The Framework of Mechanics for Dynamic Behaviors of Fractional-Order Stochastic Dynamic Systems

37. 3D Visualisations Should Not be Displayed Alone - Encouraging a Need for Multivocality in Visualisation

38. Predicting Mechanically Driven Full-Field Quantities of Interest with Deep Learning-Based Metamodels

39. Parallel Statistical Model Checking for Safety Verification in Smart Grids

40. Cost Effective Reproduction Number Based Strategies for Reducing Deaths from COVID-19

41. Representative volume elements for matrix-inclusion composites -- a computational study on periodizing the ensemble

42. Model-free Data-Driven simulation of inelastic materials using structured data sets, tangent space information and transition rules

43. Modeling of a multiple source heating plate

44. A high throughput search of efficient thermoelectric half-Heusler compounds

45. Yield Optimization using Hybrid Gaussian Process Regression and a Genetic Multi-Objective Approach

46. Detecting signal from science:The structure of research communities and prior knowledge improves prediction of genetic regulatory experiments

47. On the Effectiveness of Tracking and Testing in SEIR Models

48. Heterogeneous Parallelization and Acceleration of Molecular Dynamics Simulations in GROMACS

49. Generalized Matrix Transformation Formalism for Reflection and Transmission of Complex Optical Waves at a Plane Dielectric Interface

50. A Blackbox Yield Estimation Workflow with Gaussian Process Regression Applied to the Design of Electromagnetic Devices

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