Results 211 to 220 of about 97,675,816 (255)

Spatially Modulated Morphotropic Phase Boundaries in a Compressively Strained Multiferroic Thin Film

Advanced Functional Materials, EarlyView.
ABSTRACT The coexisting rhombohedral‐like (R′, MA) and tetragonal‐like (T′, MC) monoclinic phases in compressively strained bismuth ferrite thin films exhibit exceptional piezoelectric and magnetic properties. While previous studies have largely focused on probing the morphotropic phase boundaries (MPBs) comprising ordered R′/T′ twins, their self ...
Ting‐Ran Liu, Xiangwei Guo, Sajid Husain, Maya Ramesh, Pushpendra Gupta, Darrell Schlom, Ramamoorthy Ramesh, Yu‐Tsun Shao   +7 more
wiley   +1 more source

Temperature-Dependent Plastic Behavior of ASA: Johnson-Cook Plasticity Model Calibration and FEM Validation. [PDF]

Materials (Basel)
Palička P, Huňady R, Hagara M.
europepmc   +1 more source

Three-dimensional dynamic response of infinite plate resting on multilayered orthotropic foundation under moving loads. [PDF]

PLoS One
Zhang CL, Cao M, Hong L, Qi YF.
europepmc   +1 more source

Gravity-dependent rate sensitivity in granular intrusion: microgravity experiments and simulations. [PDF]

NPJ Microgravity
Hou M, Cheng X, Yang S, Wu Q, Xiao S, Li H, Blumenfeld R.   +6 more
europepmc   +1 more source

A Model for Comprehensive Material Degradation and Strength Characteristics Assessment of Historic Masonry Structures. [PDF]

Materials (Basel)
Miedziałowski C, Szeląg R, Walendziuk A.   +2 more
europepmc   +1 more source

What Is a Pattern in Statistical Mechanics? Formalizing Structure and Patterns in One-Dimensional Spin Lattice Models with Computational Mechanics. [PDF]

Entropy (Basel)
Aguilar O.
europepmc   +1 more source

Correlations and Kappa Distributions: Numerical Experiment with 3D Collisions and Debye-like Shielding. [PDF]

Entropy (Basel)
McComas DJ, Livadiotis G, Sarlis N.
europepmc   +1 more source

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Numerical methods for unilateral problems in solid mechanics

Handbook of Numerical Analysis, 1996
J NEČAS
exaly   +2 more sources

A physics-informed deep learning framework for inversion and surrogate modeling in solid mechanics

Computer Methods in Applied Mechanics and Engineering, 2021
We present the application of a class of deep learning, known as Physics Informed Neural Networks (PINN), to inversion and surrogate modeling in solid mechanics. We explain how to incorporate the momentum balance and constitutive relations into PINN, and
E. Haghighat, M. Raissi, A. Moure, H. Gómez, R. Juanes   +4 more
semanticscholar   +1 more source

Expansion of consistent particle method to solve solid mechanics problems

International Journal for Numerical Methods in Engineering, 2023
Originally developed for solving fluid dynamics problems, a Lagrangian particle method called the consistent particle method (CPM) is expanded to solid mechanics problems in this article. The motions of particles are governed by the mass conservation and
Shi-Tong Li, C. Koh, Y. Chow
semanticscholar   +1 more source