Results 121 to 130 of about 935,850 (392)

Galvanically induced potentials to enable minimal tribochemical wear of stainless steel lubricated with sodium chloride and ionic liquid aqueous solution

Friction, 2018
The effect of galvanically induced potentials on the friction and wear behavior of a 1RK91 stainless steel regarding to tribocorrosion was investigated using an oscillating ball-on-disk tribometer equipped with an electrochemical cell.
Tobias Amann, Felix Gatti, Natalie Oberle, Andreas Kailer, Jürgen Rühe   +4 more
doaj   +1 more source

Mechanics of Materials

, 2015
We perform a probabilistic investigation on the effect of systematically removing imperfections on the buckling behavior of pressurized thin, elastic, hemispherical shells containing a distribution of defects.
F. Derveni, Florian Choquart, A. Abbasi, Dong Yan, Pedro M. Reis   +4 more
semanticscholar   +1 more source

Structural mechanics of deformation and fracture Quarterly progress report [PDF]

Structural mechanics of deformation and fracture - responses of model viscoelastic materials to ...
Gruntfest, I. J., Mueller, G. E.
core   +1 more source

Discrete Fourier Transform Improves the Prediction of the Electronic Properties of Molecules in Quantum Machine Learning

, 2019
High-throughput approximations of quantum mechanics calculations and combinatorial experiments have been traditionally used to reduce the search space of possible molecules, drugs and materials.
Tchagang, Alain, Valdés, Julio
core   +1 more source

A large‐scale retrospective study in metastatic breast cancer patients using circulating tumour DNA and machine learning to predict treatment outcome and progression‐free survival

Molecular Oncology, EarlyView.
There is an unmet need in metastatic breast cancer patients to monitor therapy response in real time. In this study, we show how a noninvasive and affordable strategy based on sequencing of plasma samples with longitudinal tracking of tumour fraction paired with a statistical model provides valuable information on treatment response in advance of the ...
Emma J. Beddowes, Mario Ortega Duran, Solon Karapanagiotis, Alistair Martin, Meiling Gao, Riccardo Masina, Ramona Woitek, James Tanner, Fleur Tippin, Justine Kane, Jonathan Lay, Anja Brouwer, Stephen‐John Sammut, Suet‐Feung Chin, Davina Gale, Dana W. Y. Tsui, Sarah‐Jane Dawson, Nitzan Rosenfeld, Maurizio Callari, Oscar M. Rueda, Carlos Caldas   +20 more
wiley   +1 more source

Special issue of computational mechanics on machine learning theories, modeling, and applications to computational materials science, additive manufacturing, mechanics of materials, design and optimization. [PDF]

Comput Mech, 2023
Liu WK, Bessa MA, Chinesta F, Li S, Trask N.   +4 more
europepmc   +1 more source

Targeting the AKT/mTOR pathway attenuates the metastatic potential of colorectal carcinoma circulating tumor cells in a murine xenotransplantation model

Molecular Oncology, EarlyView.
Dual targeting of AKT and mTOR using MK2206 and RAD001 reduces tumor burden in an intracardiac colon cancer circulating tumor cell xenotransplantation model. Analysis of AKT isoform‐specific knockdowns in CTC‐MCC‐41 reveals differentially regulated proteins and phospho‐proteins by liquid chromatography coupled mass spectrometry. Circulating tumor cells
Daniel J. Smit, Thais Pereira‐Veiga, Helena Brauer, Michael Horn, Paula Nissen, Thomas Mair, Bente Siebels, Hannah Voß, Ruimeng Zhuang, Marie‐Therese Haider, Desiree Loreth, Margarita Iskhakova, Bele Lindemann, Julian Kött, Laure Cayrefourcq, Jasmin Wellbrock, Hartmut Schlüter, Klaus Pantel, Catherine Alix‐Panabières, Manfred Jücker   +19 more
wiley   +1 more source

THE EFFECT OF SEALING PROCESSES ON THE CORROSION BEHAVIOUR OF Al₂O₃-13 WT.%TiO₂ COATING

Ceramics-Silikáty, 2019
A novel post-treatment process was employed to seal a plasma-sprayed Al₂O₃-13wt. %TiO₂ (AT13) coating to improve its corrosion resistance. A series of AT13 coatings were sealed with silicone resin using conventional sealing and ultrasonic sealing at ...
Jia Shao, Zehua Wang, Si Liqiong, Zhou Zehua, Zhang Xin, Jiang Shaoqun, Wang Gang   +6 more
doaj   +1 more source

Preface to the special issue on mechanics of materials. [PDF]

Int J Adv Eng Sci Appl Math, 2021
Annabattula RK, Korimilli EP, Datla NV.
europepmc   +1 more source

A Review of the Application of Machine Learning and Data Mining Approaches in Continuum Materials Mechanics

Frontiers in Materials, 2019
Machine learning tools represent key enablers for empowering material scientists and engineers to accelerate the development of novel materials, processes and techniques.
Frederic E. Bock, R. Aydin, C. Cyron, N. Huber, S. Kalidindi, B. Klusemann   +5 more
semanticscholar   +1 more source