The Mechanics of Infrastructure Materials research group are looking to hire a Postdoctoral Research Associate (PDRA) to work in the prediction of hydrogen embrittlement using computational methods. The Research Associate will work under the supervision of Dr Emilio Martínez-Pañeda and the project is supported by TENARIS.
One NSF-funded Ph.D. position is available immediately in the area of computational polymers in the group of Dr. Jihong Ma (https://sites.google.com/umn.edu/jihong-ma-group/home?authuser=0) at the University of Vermont.
dear collegues, I may be interested to share your views on an "asperity theory" modified Persson's rubber friction contact mechanics theory which I find not clearly motivated and seems to lead to erroneous conclusions ---- but I am also unable to reproduce the results claimed by the authors. The preprint is here, and the original paper attached: https://www.researchgate.net/publication/359392510
Curious to explain Earth and Sea evolution? Have a solid physical/mathematical/mechanical/computational background? You are invited to apply for a funded MSc/PhD/Postdoc position at the Laboratory of Computational Physics in Marine Sciences
Octopus, clingfish, and larva use soft cups to attach to surfaces under water. Recently, various bioinspired cups have been engineered. However, the mechanisms of their attachment and detachment remain elusive. Using a novel microcup, fabricated by two-photon lithography, coupled with in situ pressure sensor and observation cameras, we reveal the detailed nature of its attachment/detachment under water.
We are seeking a postdoctoral researcher to assist us developing strain-rate and structure dependent constitutive model for thermoplastic polymers (PE and TPU) and to understand their interaction mechanism with ceramics (SiC and B4C) for high velocity impact applications using MD simulations. Click here to apply: https://careers.udel.edu/cw/en-us/job/498485/postdoctoral-researcher-po…
We are seeking a postdoctoral researcher to develop the machine learning framework for glass fiber-matrix interphase considering wide range of resins and sizing chemistry; variability in interphase topology – monolayer versus multi-layer sizing; and pressure/temp/strain rate effects. Input data for the machine learning should be generated from all-atom and/or coarse-grain (CG) MD simulations.
We are seeking a postdoctoral researcher to develop the machine learning framework for glass fiber-matrix interphase considering wide range of resins and sizing chemistry; variability in interphase topology – monolayer versus multi-layer sizing; and pressure/temp/strain rate effects. Input data for the machine learning should be generated from all-atom and/or coarse-grain (CG) MD simulations.
We are seeking a postdoctoral researcher to develop the machine learning framework for glass fiber-matrix interphase considering wide range of resins and sizing chemistry; variability in interphase topology – monolayer versus multi-layer sizing; and pressure/temp/strain rate effects. Input data for the machine learning should be generated from all-atom and/or coarse-grain (CG) MD simulations.
