Results 31 to 40 of about 97,675,816 (255)

Geometric Discretization of Lagrangian Mechanics and Field Theories [PDF]

, 2009
This thesis presents a unified framework for geometric discretization of highly oscillatory mechanics and classical field theories, based on Lagrangian variational principles and discrete differential forms. For highly oscillatory problems in mechanics,
Stern, Ari Joshua
core   +1 more source

Proper generalized decomposition of time-multiscale models [PDF]

, 2011
Models encountered in computational mechanics could involve many time scales. When these time scales cannot be separated, one must solve the evolution model in the entire time interval by using the finest time step that the model implies.
CHINESTA SORIA, Francisco, DOBLARÉ, Manuel, Chinesta, Francisco, CUETO, Elias, Amine Ammar, Francisco Chinesta, Manuel Doblaré, Elías Cueto, AMMAR, Amine   +8 more
core   +1 more source

Machine learning in solid mechanics: Application to acoustic metamaterial design

International Journal for Numerical Methods in Engineering
Machine learning (ML) and Deep learning (DL) are increasingly pivotal in the design of advanced metamaterials, seamlessly integrated with material or topology optimization. Their intrinsic capability to predict and interconnect material properties across
D. Yago, G. Sal-Anglada, D. Roca, J. Cante, J. Oliver   +4 more
semanticscholar   +1 more source

Structure‐forward targeting of claudins with synthetic binders

FEBS Letters, EarlyView.
Claudins form the paracellular barriers between epithelial and endothelial tissues at tight junctions and are targets for molecular binders with the goal of modulating barrier permeability. Claudin‐binding molecules are relevant in drug delivery or in altering claudin interactions with disease‐causing proteins.
Alex J. Vecchio
wiley   +1 more source

Efficient and accurate numerical scheme for a magnetic-coupled phase-field-crystal model for ferromagnetic solid materials

Computer Methods in Applied Mechanics and Engineering, 2020
In this paper, we consider numerical approximations for the magnetic-coupled phase-field-crystal model for ferromagnetic solid materials. The governing PDE system consists of two coupled and highly nonlinear equations in which one is the Cahn–Hilliard ...
Jun Zhang, Xiaofeng Yang
semanticscholar   +1 more source

Ligand‐dependent transcriptional heterogeneity in cell cycle gene expression delays G1/S entry

FEBS Letters, EarlyView.
EGF and HRG induce distinct G1/S progression programs in ErbB2‐amplified BT474 breast cancer cells. Despite activating the potent ErbB2–ErbB3 heterodimer, HRG does not accelerate cell‐cycle entry. Instead, EGF promotes earlier restriction‐point passage via ERK–FOS signaling, whereas HRG activates the AKT–MYC axis, driving transcriptional heterogeneity ...
Ririn Rahmala Febri, Ayaka Nagasato‐Ichikawa, Keita Iida, Shuhei Kimura, Akira Imamoto, Mariko Okada   +5 more
wiley   +1 more source

A numerical analysis of buoyancy-driven melting and freezing [PDF]

, 2004
A numerical investigation of transient natural convective heat transfer with coupled phase change is presented. The numerical model attempts to capture the solid-fluid interface using a fixed-grid solution and is applied to two pure substance cases found
Scanlon, T.J., Stickland, M.T.
core   +3 more sources

A SYSTEMATIC REVIEW OF MODERN NUMERICAL METHODS FOR SOLVING PARTIAL DIFFERENTIAL EQUATIONS

Cifra: Информационные технологии и телекоммуникации
This article is a systematical review on the current numerical methods used in the numerical solution of partial differential equations (PDEs) in which our special attention is focused on the latest developments essentially around the past decade.
Saba S.M.
doaj   +1 more source

Neural Approaches to Computational Solid Mechanics: A Critical Review

Frontiers of Multidisciplinary Research
The rapid evolution of physics-informed and data-driven neural networks has transformed scientific computing, offering new possibilities for solving and inferring complex physical systems. Yet, within the broad realm of computational solid mechanics (CSM)
Ankit Tyagi, Mariya Mamajiwala, Debasish Roy   +2 more
semanticscholar   +1 more source

Keratin 19 as a prognostic marker and contributing factor of metastasis and chemoresistance in high‐grade serous ovarian cancer

Molecular Oncology, EarlyView.
Keratin 19 (KRT19) is overexpressed in high‐grade serous ovarian cancer with high levels of Kallikrein‐related peptidases (KLK) 4–7 and is associated with poor survival. In vivo analyses demonstrate that elevated KRT19 increases peritoneal tumour burden.
Sophia Bielesch, Isabel Vogel, Sina Nokodian, Johanna Moeller, Antonia Blechschmidt, Vicky Hecht, Vanessa Kuentzel, Katharina Thiedig, Melissa Schwab, Oliver Schilling, Holger Bronger, Marion Kiechle, Viktor Magdolen, Tobias Dreyer   +13 more
wiley   +1 more source