Shaofei Ren^1,2, Guorong Chen² , Tiange Li² , Qijun Chen², Shaofan Li^{2, *}

CMES-Computer Modeling in Engineering & Sciences, Vol.117, No.3, pp. 287-307, 2018, DOI:10.31614/cmes.2018.04697

Abstract In this work, we have developed a novel machine (deep) learning computational framework to determine and identify damage loading parameters (conditions) for structures and materials based on the permanent or residual plastic deformation distribution or damage state of the structure. We have shown that the developed machine learning algorithm can accurately and (practically) uniquely identify both prior static as well as impact loading conditions in an inverse manner, based on the residual plastic strain and plastic deformation as forensic signatures. The paper presents the detailed machine learning algorithm, data acquisition and learning processes, and validation/verification examples. This development may have… More >

Molecular & Cellular Biomechanics, Vol.3, No.4, pp. 179-180, 2006, DOI:10.32604/mcb.2006.003.179

Abstract This article has no abstract. More >

S. Williams¹, G. Reilly², A. Sittichokechaiwut², D. A. Clarke², T. Nickel¹, L. Mejia¹

Molecular & Cellular Biomechanics, Vol.3, No.4, pp. 137-138, 2006, DOI:10.32604/mcb.2006.003.137

Abstract This article has no abstract. More >

D. L. Butler¹, N. Juncosa-Melvin¹, G. P. Boivin¹, M. Galloway², C. Gooch¹, J. T. Shearn¹, V. S. Nirmalanandhan¹, S. A. Hunter¹, K. Chokalingam¹, C. Frede³, J. Florer³, R. Wenstrup³

Molecular & Cellular Biomechanics, Vol.3, No.4, pp. 127-130, 2006, DOI:10.32604/mcb.2006.003.127

Abstract This article has no abstract. More >

D.E. Ingber¹

Molecular & Cellular Biomechanics, Vol.1, No.1, pp. 53-68, 2004, DOI:10.3970/mcb.2004.001.053

Abstract This article is a summary of a lecture presented at a symposium on "Mechanics and Chemistry of Biosystems'' in honor of Professor Y.C. Fung that convened at the University of California, Irvine in February 2004. The article reviews work from our laboratory that focuses on the mechanism by which mechanical and chemical signals interplay to control how individual cells decide whether to grow, differentiate, move, or die, and thereby promote pattern formation during tissue morphogenesis. Pursuit of this challenge has required development and application of new microtechnologies, theoretical formulations, computational models and bioinformatics tools. These approaches have been used to… More >

Gang Bao¹, Andrew Tsourkas², Philip J. Santangelo²

Molecular & Cellular Biomechanics, Vol.1, No.1, pp. 23-36, 2004, DOI:10.3970/mcb.2004.001.023

Abstract The ability to detect, localize, quantify and monitor the expression of specific genes in living cells in real-time will offer unprecedented opportunities for advancement in molecular biology, disease pathophysiology, drug discovery, and medical diagnostics. However, current methods for quantifying gene expression employ either selective amplification (as in PCR) or saturation binding followed by removal of the excess probes (as in microarrays and in situ hybridization) to achieve specificity. Neither approach is applicable when detecting gene transcripts within living cells. Here we review the recent development in engineering nanostructured molecular probes for gene detection in vivo, describe probe design approaches and… More >

T. Fu, C.P. Wang, B. Hou, X.D. Zhu, Z.F. Zhou, K.Y. Li, J. Lu

The International Conference on Computational & Experimental Engineering and Sciences, Vol.20, No.3, pp. 91-92, 2011, DOI:10.3970/icces.2011.020.091

Abstract Structural steels are widely used in engineering fields. Generally, they have the advantage of lower prices due to less precious alloy elements contained; however, their properties, especially the surface properties are inferior to high alloy steels. Surface engineering are of importance in improving surface properties of steels, and even a 'new' surface layer with high performances can be produced by surface technologies on low cost structural steels with ordinary properties.
The researches of last decade have shown that surface nanocrystallization (SNC) can markedly improve surface mechanical properties of metallic materials and accelerate thermal diffusion of N, Cr, etc atoms. In… More >

Wanlin Guo

The International Conference on Computational & Experimental Engineering and Sciences, Vol.22, No.4, pp. 184-186, 2019, DOI:10.32604/icces.2019.04905

Abstract The fracture mechanics theories have been developed actively for several decades, and have been successful for many specific engineering applications and serves as the fundamental for damage tolerant design of structures. In 1957, William and Irwin obtained the stress intensity factor K dominated solution of the singular stress and strain fields near crack tip in linear elastic plate, provided the theoretical basis for linear elastic fracture mechanics. In 1968, the famous J-integral dominated HRR solution for plane stress and plane strain cracked plates of power law hardening materials has long served as the fundamental of elastic-plastic fracture mechanics and similar… More >

Toshihiro Ashino^1,*, Nobutaka Nishikawa²

The International Conference on Computational & Experimental Engineering and Sciences, Vol.22, No.2, pp. 137-137, 2019, DOI:10.32604/icces.2019.05454

Abstract Materials performance analysis process requires integration of many heterogeneous data and information resources, e.g. experimental data, empirical models and computational simulation. Virtual Research Environment (VRE) for materials science and engineering should support each data handling processes, data retrieval, conversion, statistical analysis, symbolic manipulation and visualization within single interactive and scripting environment.
Furthermore, in order to integrate heterogeneous data, it requires a common dictionary which describe semantic relationships among these data resources. It is required to identify corresponding data items from different data resources. It can be a flat structured table, but an ontology which describes semantic relationships among concepts,… More >