Meshfree Lagrangian frameworks for free surface flow simulations do not
...
We exploit level set topology optimization to find the optimal material
...
Breast-conserving surgery is the most acceptable operation for breast ca...
Deep learning surrogate models are being increasingly used in accelerati...
Clinical management of cancer has continuously evolved for several decad...
In many cutting-edge applications, high-fidelity computational models pr...
Computer Aided Design (CAD) is widely used in the creation and optimizat...
This new approach allows the user to experiment with model choices easil...
There has been a growing interest in controlled heat flux manipulation t...
Stress prediction in porous materials and structures is challenging due ...
We develop a novel a posteriori error estimator for the L2 error committ...
An adapted deflation preconditioner is employed to accelerate the soluti...
For many novel applications, such as patient-specific computer-aided sur...
The uptake of machine learning (ML) approaches in the social and health
...
An innovative technique, called conversion, is introduced to model
circu...
In breast surgical practice, various scans and medical examinations are
...
In this paper, we develop a framework for solving inverse deformation
pr...
In the seminal paper of Bank and Weiser [Math. Comp., 44 (1985), pp.283-...
The purpose of this work is to train an Encoder-Decoder Convolutional Ne...
We provide a primer to numerical methods based on Taylor series expansio...
Errors in biomechanics simulations arise from modeling and discretizatio...
This paper describes the use of the corotational cut Finite Element Meth...
We propose a local type of B-bar formulation, addressing locking in
dege...
We propose a generalized local B̅ framework, addressing locking in
degen...
In this paper, we propose a general framework for constructing IGA-suita...
We present an error-controlled mesh refinement procedure for needle inse...