Sandra Erkens

According to our database, Sandra Erkens authored at least 8 papers between 2024 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Multistage physics informed neural network for solving coupled multiphysics problems in material degradation and fluid dynamics.

Mahmoud Khadijeh, Veronica Cerqueglini, Cor Kasbergen, Sandra Erkens, Aikaterini Varveri

Eng. Comput., October, 2025

Gradient boosting decision trees to study laboratory and field performance in pavement management.

Mohammadjavad Berangi, Bernardo Mota Lontra, Kumar Anupam, Sandra Erkens, Dave Van Vliet, Almar Snippe, Mahesh Moenielal

Comput. Aided Civ. Infrastructure Eng., January, 2025

Scymol: A python-based software package for initializing and running molecular dynamics simulations using LAMMPS.

Eli I. Assaf, Elsa Maalouf, Xueyan Liu, Peng Lin, Sandra Erkens

SoftwareX, 2025

A step toward a micromechanics-informed neural network for predicting asphalt mixture stiffness.

Kumar Anupam, Mohammadjavad Berangi, Juan Camilo Camargo, Cor Kasbergen, Sandra Erkens

Comput. Aided Civ. Infrastructure Eng., 2025

2024

A causal discovery approach to study key mixed traffic-related factors and age of highway affecting raveling.

Zili Wang, Panchamy Krishnakumari, Kumar Anupam, Hans van Lint, Sandra Erkens

Comput. Aided Civ. Infrastructure Eng., October, 2024

PDB2DAT: Automating LAMMPS data file generation from PDB molecular systems using Python, Rdkit, and Pysimm.

Eli I. Assaf, Xueyan Liu, Peng Lin, Sandra Erkens

Softw. Impacts, 2024

SMI2PDB: A self-contained Python tool to generate atomistic systems of organic molecules using their SMILES notations.

Eli I. Assaf, Xueyan Liu, Peng Lin, Sandra Erkens

Softw. Impacts, 2024

AA2UA: Converting all-atom models into their united atom coarse grained counterparts for use in LAMMPS.

Eli I. Assaf, Xueyan Liu, Sandra Erkens

Softw. Impacts, 2024