Designing flexoelectric metamaterials through computational strain gradient engineering

Irene Arias

Lacan, Universitat Politècnica de Catalunya, Spain

Fracture and flow in porous media: a two-scale approach and spline-based discretisation

René de Borst

University of Sheffield, UK

Computational mechanics-based digital twin for model predictive control of autonomous UAV landing in adverse conditions

Charbel Farhat

Stanford University, USA

From engineered metastructures to natural seismic metamaterials: theory, computational aspects and experiments

C.W. Lim

City University of Hong Kong, Hong Kong

Development of new rocket propulsion system "Rotating Detonation Engine"

Akiko Matsuo

Keio University, Japan

Computational hemodynamics for clinical applications - crossroad between patient-specific simulation and machine-learning techniques

Marie Oshima

The University of Tokyo, Japan

Deep materials modeling and design

Chuin-Shan (David) Chen

National Taiwan University, Taiwan

Empowering data-informed engineering from smarter data, sensing and hybrid modelling

Francisco Chinesta

ENSAM Institute of Technology, France

Machine-learning based computational mechanics as a powerful tool for engineering and science

YuanTong Gu

Queensland University of Technology, Australia

Discrete crack models in regularized fracture mechanics for mesh-based and mesh-free methods

Michael Kaliske

TU Dresden, Germany

Opportunities for Machine Learning in Computational Mechanics

Ellen Kuhl

Stanford University, USA

On law- and data-based methods

Gui-Rong Liu

University of Cincinnati, USA

A semi-resolved CFD-DEM approach for particulate flows with thermal convection

Moubin Liu

Peking University, China

Hierarchical Deep Learning Neural Network (HiDeNN)-FEM-AI for process design and performance prediction of material systems

Wing Kam Liu

Northwestern University, USA

Recent advances of constitutive models of soft smart materials - from molecular, network scales to continuum scale

Zishun Liu

Xi’an Jiaotong University, China / National University of Singapore, Singapore

Wings at low Reynolds numbers and lifting line theory

Sanjay Mittal

Indian Institute of Technology Kanpur, India

Isogeometric analysis: some recent advances and applications

Alessandro Reali

University of Pavia, Italy

Parametric model order reduction for fluid and structure objects

SangJoon Shin

Seoul National University, Korea

A Topology Optimization Approach Towards Fluid Flow Design Problems

Emilio Silva

Polytechnic School of University of São Paulo, Brazil

Prediction of fatigue crack propagation using effective regularization techniques for regression problems

Yoshitaka Wada

Kindai University, Japan

Virtual elements in engineering sciences

Peter Wriggers

Leibniz University Hannover, Germany