Postdoc openings at UC San Diego
Three postdoctoral positions in computational mechanics, structures and material optimization, artificial intelligence, and heat transfer at the University of California San Diego.
Three postdoctoral positions in computational mechanics, structures and material optimization, artificial intelligence, and heat transfer at the University of California San Diego.
We are organizing a Focus Topic "Statistical Physics in Constitutive Modeling" for the upcoming 2024 March Meeting of the American Physical Society (https://march.aps.org/). Please consider contributing an abstract once submissions open on August 31, and find the description below. This will be a exciting opportunity to connect with fellow reseachers in this area and discuss recent work. Questions to mrbuche [at] sandia.gov (mrbuche[at]sandia[dot]gov).
Yida Zhang
Assistant Professor
Department of Civil, Environmental and Architectural Engineering, University of Colorado Boulder, Boulder, CO, 80303
Research lab: https://www.yidazhanggroup.com/
1. Introduction
One fully supported Ph.D. position is open immediately in Advanced Hierarchical Materials by Design Lab at the University of Alabama on multiscale modeling of materials and processes. The goal of this research project is to use machine learning algorithms to design materials and their synthesis process.
Diverse science and engineering problems are governed by delay differential equations (DDE). Seeking periodic solutions of DDEs is crucial for many nonlinear dynamic systems. The incremental harmonic balance (IHB) method is an efficient semi-analytical ap- proach for periodic solutions of DDE.
The Design & Uncertainty Quantification group at The University of Iowa, led by Professor Sharif Rahman, is looking for two new Ph.D. students, who are capable of and interested in performing high-quality research on solid mechanics, uncertainty quantification, and design optimization. The research, supported by U.S. National Science Foundation, requires building a solid mathematical foundation, devising efficient numerical algorithms, and developing practical computational tools, all associated with stochastic analysis and design of complex materials and structures.
Position:
- Starts in November 2023
- The Aplication link: https://efzu.fa.em2.oraclecloud.com/hcmUI/CandidateExperience/en/sites/…
- or https://www.linkedin.com/feed/update/urn:li:activity:709712139523869491…
The thermal-hydraulics as well as flow-induced vibration of wire-wrapped rod bundles calls for accurate and efficient liquid metal flow simulation and prediction, yet it remains a challenge due to the complex geometries and high Reynolds number flow in wire-wrapped rod channel. Previous efforts towards this goal exclusively adopts full-order modeling (FOM), which is prohibitively computation-intensive.
Cracks usually propagate dynamically that makes them so dangerous. However, most crack simulations are based on quasi-static analyses because they are simpler than the dynamic ones. Is it correct to use quasi-static analyses instead of the dynamic ones? Will the quasi-static and dynamic simulations provide similar results? We try to answer these questions in the present work. We compare results of quasi-static and dynamic simulations of crack propagation in aneurysm material.
The mechanism of drag reduction via polymer additives is long debated in the literature. We present results of 3D numerical simulations of the realistic pipe flow where material instabilities develop into turbulence. We observe in the simulations that the addition of the polymer solute suppresses the chaotic turbulent motion, indeed, in accordance with the experimental observations of the phenomenon.