<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Home on Computational Solid Mechanics Lab @ UCI</title><link>https://csml-uci.github.io/</link><description>Recent content in Home on Computational Solid Mechanics Lab @ UCI</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Tue, 08 Sep 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://csml-uci.github.io/index.xml" rel="self" type="application/rss+xml"/><item><title>Prof. Rimoli helps shape the selection of the next generation of interdisciplinary scientists</title><link>https://csml-uci.github.io/news/2026-09-08-schmidt-science-fellows-selector-workshop/</link><pubDate>Tue, 08 Sep 2026 00:00:00 +0000</pubDate><guid>https://csml-uci.github.io/news/2026-09-08-schmidt-science-fellows-selector-workshop/</guid><description>&lt;p&gt;Prof. Rimoli took part as a selector in the 2026 Schmidt Science Fellows Selector Workshop, held on June 30 and July 1 at the Interdisciplinary Science Summit in association with Duke University. An invited working group of the program&amp;rsquo;s reviewers and selectors, together with Senior Fellows and program staff, met to refine how future Fellows are chosen: how to judge a candidate&amp;rsquo;s potential for interdisciplinary research and readiness to move beyond their doctoral field, how to keep assessments consistent across reviewers, and how AI changes both the review of applications and the evaluation of an applicant&amp;rsquo;s own scientific contribution.&lt;/p&gt;</description></item><item><title>Sofia Brown develops quantum algorithms for materials simulation at Los Alamos</title><link>https://csml-uci.github.io/news/2026-09-02-sofia-brown-los-alamos-fellowship/</link><pubDate>Wed, 02 Sep 2026 00:00:00 +0000</pubDate><guid>https://csml-uci.github.io/news/2026-09-02-sofia-brown-los-alamos-fellowship/</guid><description>&lt;p&gt;PhD student Sofia Pilar Brown took part in the UCI-LANL-SoCalHub Research Fellowship, co-mentored by Prof. Rimoli and Los Alamos National Laboratory senior scientist Ricardo Lebensohn. Her project translates simulations of how heterogeneous materials deform under stress into algorithms that can run on quantum computers. The fellowship pairs UCI doctoral students with national-laboratory scientists and gives them access to specialized facilities, including LANL&amp;rsquo;s quantum computer simulator.&lt;/p&gt;
&lt;p&gt;Read the full story: &lt;a href="https://engineering.uci.edu/news/2026/9/two-uci-researchers-make-breakthroughs-during-los-alamos-national-lab-fellowship" target="_blank" rel="noopener"&gt;Two UCI Researchers Make Breakthroughs During Los Alamos National Lab Fellowship&lt;/a&gt; (UCI Samueli School of Engineering).&lt;/p&gt;</description></item><item><title>Prof. Rimoli speaks at the 2025 MAES Leadership Academy</title><link>https://csml-uci.github.io/news/2025-10-20-maes-leadership-academy/</link><pubDate>Mon, 20 Oct 2025 00:00:00 +0000</pubDate><guid>https://csml-uci.github.io/news/2025-10-20-maes-leadership-academy/</guid><description>&lt;p&gt;UC Irvine hosted the 2025 MAES Leadership Academy on October 10 to 12, bringing together 66 student leaders from 12 universities. Prof. Rimoli was one of the faculty speakers and talked about his path as one of the first Latino aerospace engineering professors in the southeastern United States, about servant leadership, and about representation in STEM. NASA astronaut José Hernández gave the keynote.&lt;/p&gt;
&lt;p&gt;Read the full story: &lt;a href="https://engineering.uci.edu/news/2025/10/one-dream-one-familia-uc-irvine-hosts-2025-maes-leadership-academy" target="_blank" rel="noopener"&gt;One Dream, One Familia: UC Irvine Hosts the 2025 MAES Leadership Academy&lt;/a&gt; (UCI Samueli School of Engineering).&lt;/p&gt;</description></item><item><title>UCI students build a full-scale WWI biplane in a project Prof. Rimoli helped launch</title><link>https://csml-uci.github.io/news/2025-10-02-wwi-biplane-project/</link><pubDate>Thu, 02 Oct 2025 00:00:00 +0000</pubDate><guid>https://csml-uci.github.io/news/2025-10-02-wwi-biplane-project/</guid><description>&lt;p&gt;Between 80 and 100 UCI engineering students are building a full-scale replica of the Curtiss JN-4 &amp;ldquo;Jenny&amp;rdquo;, a World War I training biplane, for the Flying Leatherneck Aviation Museum. Prof. Rimoli initiated UCI&amp;rsquo;s involvement in the project and recruited faculty advisors David Copp and Jacqueline Huynh to guide the student teams working on the fuselage, engine, tail, and wings.&lt;/p&gt;
&lt;p&gt;Read the full story: &lt;a href="https://engineering.uci.edu/news/2025/10/uc-irvine-student-engineers-build-wwi-biplane" target="_blank" rel="noopener"&gt;UC Irvine Student Engineers Build a WWI Biplane&lt;/a&gt; (UCI Samueli School of Engineering).&lt;/p&gt;</description></item><item><title>Lab co-authors Nature Communications study on slip banding in CrCoNi alloys</title><link>https://csml-uci.github.io/news/2025-05-01-slip-banding-nature-communications/</link><pubDate>Thu, 01 May 2025 00:00:00 +0000</pubDate><guid>https://csml-uci.github.io/news/2025-05-01-slip-banding-nature-communications/</guid><description>&lt;p&gt;A UC Irvine team led by Prof. Penghui Cao, with Prof. Rimoli among the co-authors, reported in &lt;em&gt;Nature Communications&lt;/em&gt; that two distinct types of slip bands form in the CrCoNi alloy under compression. Confined bands follow the classical Frank-Read picture of repeated dislocation emission, while extended bands grow through the deactivation of dislocation sources and the creation of new ones on neighboring planes. The work combined multiscale experiments and modeling from the microscopic to the atomic scale.&lt;/p&gt;</description></item><item><title>Lab joins the new Pratt &amp; Whitney Center of Excellence for Solidification Science</title><link>https://csml-uci.github.io/news/2025-03-10-pratt-whitney-center-of-excellence/</link><pubDate>Mon, 10 Mar 2025 00:00:00 +0000</pubDate><guid>https://csml-uci.github.io/news/2025-03-10-pratt-whitney-center-of-excellence/</guid><description>&lt;p&gt;UC Irvine and Pratt &amp;amp; Whitney have established a Center of Excellence for Solidification Science, directed by Distinguished Professor Diran Apelian, to advance the materials processing behind jet-engine components such as single-crystal turbine blades. Prof. Rimoli and Project Scientist Kevin Garanger are among the center&amp;rsquo;s core faculty, alongside colleagues from the Department of Materials Science and Engineering.&lt;/p&gt;
&lt;p&gt;Read the announcement: &lt;a href="https://news.uci.edu/2025/03/10/uc-irvine-and-pratt-whitney-establish-materials-science-center-of-excellence/" target="_blank" rel="noopener"&gt;UC Irvine and Pratt &amp;amp; Whitney establish materials science center of excellence&lt;/a&gt; (UCI News). Center website: &lt;a href="https://acrc.manufacturing.uci.edu/" target="_blank" rel="noopener"&gt;Advanced Casting Research Center&lt;/a&gt;.&lt;/p&gt;</description></item><item><title>Prof. Rimoli named ASME Fellow</title><link>https://csml-uci.github.io/news/2023-10-26-rimoli-named-asme-fellow/</link><pubDate>Thu, 26 Oct 2023 00:00:00 +0000</pubDate><guid>https://csml-uci.github.io/news/2023-10-26-rimoli-named-asme-fellow/</guid><description>&lt;p&gt;The American Society of Mechanical Engineers has elected Prof. Rimoli a Fellow, a distinction that recognizes significant engineering achievements. The announcement highlights his work on numerical methods for nonlinear microstructures and on metamaterials for energy absorption, together with his record as an educator, including the Truss Me! app that teaches structural mechanics as a game.&lt;/p&gt;
&lt;p&gt;Read the full story: &lt;a href="https://engineering.uci.edu/news/2023/10/juli-n-rimoli-named-asme-fellow" target="_blank" rel="noopener"&gt;Julián Rimoli Named ASME Fellow&lt;/a&gt; (UCI Samueli School of Engineering).&lt;/p&gt;</description></item><item><title>Prof. Rimoli appointed chair of Mechanical and Aerospace Engineering</title><link>https://csml-uci.github.io/news/2023-07-03-rimoli-appointed-mae-chair/</link><pubDate>Mon, 03 Jul 2023 00:00:00 +0000</pubDate><guid>https://csml-uci.github.io/news/2023-07-03-rimoli-appointed-mae-chair/</guid><description>&lt;p&gt;Dean Magnus Egerstedt announced the appointment of Prof. Rimoli as chair of the UCI Department of Mechanical and Aerospace Engineering for a three-year term that began on July 1, 2023. He succeeds Prof. Roger Rangel.&lt;/p&gt;
&lt;p&gt;Read the full story: &lt;a href="https://engineering.uci.edu/news/2023/7/uc-irvine-appoints-juli-n-jos-rimoli-chair-mechanical-and-aerospace-engineering" target="_blank" rel="noopener"&gt;UC Irvine Appoints Julián José Rimoli as Chair of Mechanical and Aerospace Engineering&lt;/a&gt; (UCI Samueli School of Engineering).&lt;/p&gt;</description></item><item><title>Prof. Rimoli joins the UCI faculty</title><link>https://csml-uci.github.io/news/2022-10-03-rimoli-joins-uci/</link><pubDate>Mon, 03 Oct 2022 00:00:00 +0000</pubDate><guid>https://csml-uci.github.io/news/2022-10-03-rimoli-joins-uci/</guid><description>&lt;p&gt;Prof. Rimoli joined the Department of Mechanical and Aerospace Engineering at UC Irvine in fall 2022 as one of five new Samueli School of Engineering faculty members, coming from Georgia Tech, where he was the Pratt &amp;amp; Whitney Professor of Aerospace Engineering. His research focuses on the computational mechanics of materials and structures across multiple length and time scales.&lt;/p&gt;
&lt;p&gt;Read the full story: &lt;a href="https://engineering.uci.edu/news/2022/10/uci-engineering-faculty-ranks-grow-five-new-members" target="_blank" rel="noopener"&gt;UCI Engineering Faculty Ranks Grow with Five New Members&lt;/a&gt; (UCI Samueli School of Engineering).&lt;/p&gt;</description></item><item><title>First 3D tensegrity metamaterials published in Advanced Materials</title><link>https://csml-uci.github.io/news/2021-03-11-tensegrity-metamaterials/</link><pubDate>Thu, 11 Mar 2021 00:00:00 +0000</pubDate><guid>https://csml-uci.github.io/news/2021-03-11-tensegrity-metamaterials/</guid><description>&lt;p&gt;Engineers at UC Irvine and Georgia Tech have created a new class of ultralightweight mechanical metamaterials based on tensegrity, in which isolated rigid bars are held in a mesh of tensioned tethers. The lattices spread deformation throughout the structure instead of failing locally, giving a 25-fold gain in deformability and orders-of-magnitude higher energy absorption than comparable lattice materials. Prof. Rimoli, then at Georgia Tech, conceived the periodic tensegrity lattices, and lab member Julie Kraus co-authored the work with Jens Bauer, Cameron Crook, and Prof. Lorenzo Valdevit of UCI. The study appeared in &lt;em&gt;Advanced Materials&lt;/em&gt; with support from NASA and the National Science Foundation.&lt;/p&gt;</description></item><item><title>Aarohi Shah</title><link>https://csml-uci.github.io/team/aarohi-shah/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://csml-uci.github.io/team/aarohi-shah/</guid><description/></item><item><title>Aaron Schinder</title><link>https://csml-uci.github.io/team/aaron-schinder/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://csml-uci.github.io/team/aaron-schinder/</guid><description/></item><item><title>Abel Bernal</title><link>https://csml-uci.github.io/team/abel-bernal/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://csml-uci.github.io/team/abel-bernal/</guid><description/></item><item><title>Agustin Cabaña</title><link>https://csml-uci.github.io/team/agustin-cabana/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://csml-uci.github.io/team/agustin-cabana/</guid><description/></item><item><title>Ali Yilmaz</title><link>https://csml-uci.github.io/team/ali-yilmaz/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://csml-uci.github.io/team/ali-yilmaz/</guid><description/></item><item><title>Amirhossein Salahshoor</title><link>https://csml-uci.github.io/team/amir-salahshoor/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://csml-uci.github.io/team/amir-salahshoor/</guid><description/></item><item><title>Chanel Lee</title><link>https://csml-uci.github.io/team/chanel-lee/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://csml-uci.github.io/team/chanel-lee/</guid><description/></item><item><title>Christine Gebara</title><link>https://csml-uci.github.io/team/christine-gebara/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://csml-uci.github.io/team/christine-gebara/</guid><description/></item><item><title>Claudio Di Leo</title><link>https://csml-uci.github.io/team/claudio-dileo/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://csml-uci.github.io/team/claudio-dileo/</guid><description/></item><item><title>Daniel Okegbu</title><link>https://csml-uci.github.io/team/daniel-okegbu/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://csml-uci.github.io/team/daniel-okegbu/</guid><description/></item><item><title>Data-Driven Optimization of Advanced Casting Processes</title><link>https://csml-uci.github.io/research/casting-optimization/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://csml-uci.github.io/research/casting-optimization/</guid><description>&lt;h2 id="abstract"&gt;Abstract&lt;/h2&gt;
&lt;p&gt;The production of advanced cast components, such as those used in aerospace turbine applications, is limited by process variability that reduces yield and consistency. Many parameters can be monitored and adjusted along the casting chain, but not all of them are equally relevant to final part quality. This project, part of the &lt;a href="https://acrc.manufacturing.uci.edu/" target="_blank" rel="noopener"&gt;Pratt &amp;amp; Whitney Center of Excellence for Solidification Science&lt;/a&gt; at UCI, identifies and prioritizes the parameters with the highest influence on part quality, develops data-driven models that quantify process sensitivities, and establishes a roadmap for optimizing them. Ensemble Bayesian networks trained on process data reveal which variables drive each type of defect, and Bayesian optimization then selects, within safe operating ranges, the settings that minimize the probability of a defect, so that a few informative production trials replace exhaustive testing. The methodology is being developed on wax injection, the first stage of the investment-casting process, and is designed to extend stage by stage to the entire casting workflow.&lt;/p&gt;</description></item><item><title>Energetic Mesh Smoothing</title><link>https://csml-uci.github.io/research/mesh-smoothing/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://csml-uci.github.io/research/mesh-smoothing/</guid><description>&lt;h2 id="abstract"&gt;Abstract&lt;/h2&gt;
&lt;p&gt;This project treats mesh improvement as an energy minimization problem. Each element of a finite element mesh is paired with an ideal reference element, and a hyperelastic pseudo-strain energy penalizes both its distortion and its change of volume, so that general-purpose finite element solvers can be used to smooth the mesh. A family of pseudo-energy densities inspired by the Seth–Hill generalized strains can be tuned to penalize disproportionately the worst elements in a mesh, which are the ones most detrimental to simulation stability, and grows without bound as an element degenerates, so that element inversion is impossible by construction. The same energy drives discrete topological operations, such as element swaps and edge splits and collapses, and accommodates spatially varying size fields and anisotropic adaptation through a modified metric. On three-dimensional meshes containing highly distorted elements, the method substantially improves mesh quality and consistently outperforms established smoothing techniques from the Cubit meshing library.&lt;/p&gt;</description></item><item><title>Franco Ruffini</title><link>https://csml-uci.github.io/team/franco-ruffini/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://csml-uci.github.io/team/franco-ruffini/</guid><description/></item><item><title>German Capuano</title><link>https://csml-uci.github.io/team/german-capuano/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://csml-uci.github.io/team/german-capuano/</guid><description/></item><item><title>Hernan Logarzo</title><link>https://csml-uci.github.io/team/hernan-logarzo/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://csml-uci.github.io/team/hernan-logarzo/</guid><description/></item><item><title>Impact of Solid Propellant Microstructure on Effective Behavior: a Data-Driven Perspective</title><link>https://csml-uci.github.io/research/solid-rocket/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://csml-uci.github.io/research/solid-rocket/</guid><description>&lt;h2 id="abstract"&gt;Abstract&lt;/h2&gt;
&lt;p&gt;This research seeks to elucidate the relationships between microstructural features at the mesoscale and the effective thermomechanical behavior of solid rocket propellants through a novel data-driven multiscale modeling framework. Conventional approaches to microstructural homogenization, including theoretical and phenomenological models, often depend on restrictive assumptions that limit their applicability to complex, heterogeneous materials, while direct numerical simulations, though accurate, are computationally intractable for large-scale applications. Even advanced surrogate models trained on simulation data face limitations in generalizability and interpretability, as identical microstructural parameters can yield markedly different effective responses due to uncharacterized microstructural variability. The central hypothesis of this work is that interpretable, low-dimensional features governing the effective behavior of heterogeneous materials can be discovered via machine learning models trained on high-fidelity simulation data. To this end, we integrate mesoscale finite element simulations of representative volume elements with symmetry-preserving neural network architectures conditioned on latent representations extracted from microstructural images. Interpretability is achieved through a combination of spatial attribution techniques and correlation analysis between latent variables and physical descriptors such as porosity, inclusion morphology, and distribution metrics. The resulting framework yields computationally efficient, physically informed surrogate constitutive models capable of predicting the behavior of solid propellants across a broad design space, generating new knowledge on the core features of a microstructure that dictate its effective behavior, while also enabling scalable, high-fidelity simulations at the engineering scale.&lt;/p&gt;</description></item><item><title>James Gloyd</title><link>https://csml-uci.github.io/team/james-gloyd/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://csml-uci.github.io/team/james-gloyd/</guid><description/></item><item><title>Jean-Baptiste Bouquet</title><link>https://csml-uci.github.io/team/jb-bouquet/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://csml-uci.github.io/team/jb-bouquet/</guid><description/></item><item><title>Jessica Jourden</title><link>https://csml-uci.github.io/team/jessica-jourden/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://csml-uci.github.io/team/jessica-jourden/</guid><description/></item><item><title>Juan Javier Rojas</title><link>https://csml-uci.github.io/team/juan-rojas/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://csml-uci.github.io/team/juan-rojas/</guid><description/></item><item><title>Julián J. Rimoli</title><link>https://csml-uci.github.io/team/julian-rimoli/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://csml-uci.github.io/team/julian-rimoli/</guid><description>&lt;h2 id="biography"&gt;Biography&lt;/h2&gt;
&lt;p&gt;Julián J. Rimoli is Dean&amp;rsquo;s Professor and Chair of the Department of Mechanical and Aerospace Engineering at the University of California, Irvine, and the principal investigator of the Computational Solid Mechanics Lab. Born and raised in Argentina, he earned his degree in Aeronautical Engineering from the Universidad Nacional de La Plata and his Ph.D. in Aeronautics from the California Institute of Technology. After a postdoctoral appointment at MIT, he joined the Georgia Institute of Technology in 2011, where he rose to Full Professor and held the Pratt &amp;amp; Whitney Endowed Professorship in the School of Aerospace Engineering. He joined UCI in 2022 as the Henry Samueli Faculty Excellence Endowed Professor and was appointed Chair in 2023.&lt;/p&gt;</description></item><item><title>Julie Kraus</title><link>https://csml-uci.github.io/team/julie-kraus/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://csml-uci.github.io/team/julie-kraus/</guid><description/></item><item><title>Kate Gunderson</title><link>https://csml-uci.github.io/team/kate-gunderson/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://csml-uci.github.io/team/kate-gunderson/</guid><description/></item><item><title>Kenneth Hart</title><link>https://csml-uci.github.io/team/kenneth-hart/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://csml-uci.github.io/team/kenneth-hart/</guid><description/></item><item><title>Kevin Garanger</title><link>https://csml-uci.github.io/team/kevin-garanger/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://csml-uci.github.io/team/kevin-garanger/</guid><description/></item><item><title>Lin Li</title><link>https://csml-uci.github.io/team/lin-li/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://csml-uci.github.io/team/lin-li/</guid><description/></item><item><title>Lorenzo Canton</title><link>https://csml-uci.github.io/team/lorenzo-canton/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://csml-uci.github.io/team/lorenzo-canton/</guid><description/></item><item><title>Lukas Ostien</title><link>https://csml-uci.github.io/team/lukas-ostien/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://csml-uci.github.io/team/lukas-ostien/</guid><description/></item><item><title>Malia "MK" Mitchell</title><link>https://csml-uci.github.io/team/malia-mitchell/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://csml-uci.github.io/team/malia-mitchell/</guid><description/></item><item><title>Nicholas Shepard</title><link>https://csml-uci.github.io/team/nicholas-shepard/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://csml-uci.github.io/team/nicholas-shepard/</guid><description/></item><item><title>Noah Wenegardner</title><link>https://csml-uci.github.io/team/noah-wenegardner/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://csml-uci.github.io/team/noah-wenegardner/</guid><description/></item><item><title>Patrick Lee</title><link>https://csml-uci.github.io/team/patrick-lee/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://csml-uci.github.io/team/patrick-lee/</guid><description/></item><item><title>Predictive Discovery of Radiation-Resistant Tungsten Alloys for Extreme Fusion Environments</title><link>https://csml-uci.github.io/research/fusion-tungsten-alloys/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://csml-uci.github.io/research/fusion-tungsten-alloys/</guid><description>&lt;h2 id="abstract"&gt;Abstract&lt;/h2&gt;
&lt;p&gt;Plasma-facing components in fusion reactors must survive intense neutron irradiation and extreme heat loads, and tungsten alloys are the leading candidates for the task. This multi-campus University of California project establishes a hub for the predictive discovery and accelerated demonstration of durable, supply-resilient alloys for fusion reactors, combining multiscale modeling, machine learning, and advanced irradiation and performance testing. The Computational Solid Mechanics Lab participates as a co-investigator, contributing to the mechanics modeling of these materials.&lt;/p&gt;</description></item><item><title>Publications</title><link>https://csml-uci.github.io/publications/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://csml-uci.github.io/publications/</guid><description/></item><item><title>Puri Gautam</title><link>https://csml-uci.github.io/team/puri-gautam/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://csml-uci.github.io/team/puri-gautam/</guid><description/></item><item><title>Quantum Computing for the Simulation of Heterogeneous Materials</title><link>https://csml-uci.github.io/research/quantum-materials-simulation/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://csml-uci.github.io/research/quantum-materials-simulation/</guid><description>&lt;h2 id="abstract"&gt;Abstract&lt;/h2&gt;
&lt;p&gt;Predicting whether a structural part will bend, crack, or hold requires resolving the internal structure of the material it is made of, and the cost of such simulations grows steeply with resolution, until even the largest supercomputers fall short. Quantum computers offer a fundamentally different scaling, but so far only simplified versions of materials simulations have been written as quantum circuits. Through the UCI–LANL–SoCalHub Research Fellowship, which pairs UCI doctoral students with scientists at Los Alamos National Laboratory, this project translates the simulation of elastic deformation in heterogeneous materials, such as composites, into quantum algorithms. A general elastic formulation has been implemented as a quantum circuit and validated against a classical benchmark, a particle embedded in a surrounding matrix, with which it agrees. Co-mentored by Prof. Rimoli and Ricardo Lebensohn of Los Alamos, the work is a step toward simulations that classical machines cannot afford and, ultimately, toward lighter and more damage-tolerant aerospace structures.&lt;/p&gt;</description></item><item><title>Raj Kumar Pal</title><link>https://csml-uci.github.io/team/raj-pal/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://csml-uci.github.io/team/raj-pal/</guid><description/></item><item><title>Ruiming Lu</title><link>https://csml-uci.github.io/team/ruiming-lu/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://csml-uci.github.io/team/ruiming-lu/</guid><description/></item><item><title>Ruizhe Ma</title><link>https://csml-uci.github.io/team/ruizhe-ma/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://csml-uci.github.io/team/ruizhe-ma/</guid><description/></item><item><title>Samuel Skidmore</title><link>https://csml-uci.github.io/team/samuel-skidmore/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://csml-uci.github.io/team/samuel-skidmore/</guid><description/></item><item><title>Sofia Brown</title><link>https://csml-uci.github.io/team/sofia-brown/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://csml-uci.github.io/team/sofia-brown/</guid><description/></item><item><title>Teaching</title><link>https://csml-uci.github.io/teaching/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://csml-uci.github.io/teaching/</guid><description>&lt;h2 id="truss-me"&gt;Truss Me!&lt;/h2&gt;
&lt;p&gt;&lt;a href="https://csml-uci.github.io/trussme/"&gt;Truss Me!&lt;/a&gt; is an educational structural simulation app created by Prof. Rimoli that teaches structural mechanics as a game: players design the lightest structure that can carry a given load and watch it deform, buckle, and fail in real time. The app has been downloaded more than one million times in 150 countries and is used to teach structural mechanics in high schools and leading universities around the world. A new version is coming soon, and it will run in the browser as well as on iOS and Android: see the &lt;a href="https://csml-uci.github.io/trussme/"&gt;Truss Me! page&lt;/a&gt;.&lt;/p&gt;</description></item><item><title>Tensegrity Metamaterials for Extreme Energy Absorption</title><link>https://csml-uci.github.io/research/tensegrity-metamaterials/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://csml-uci.github.io/research/tensegrity-metamaterials/</guid><description>&lt;h2 id="abstract"&gt;Abstract&lt;/h2&gt;
&lt;p&gt;Tensegrity structures are assemblies of slender members in which pre-stressed tensile cables form a continuous network while compression bars remain isolated, so that each member keeps its sign of loading whatever the applied load. Built as periodic lattices, they become metamaterials with a property that no other known material system exhibits: instead of failing by localization, as a fracture surface, a shear band, or a collapsing layer of cells, they spread deformation through the whole volume, with a recoverable, foam-like stress plateau, and absorb orders of magnitude more energy than lattices of the same density. This project seeks the fundamental mechanisms behind that delocalization, with particular focus on the extreme nonlinear regime of severe deformations and deformation rates typical of blast exposure, and aims to distill them into design rules for metamaterials for extreme energy absorption. The working hypothesis is that delocalization is topological: it stems from the connectivity of the lattice rather than from its geometry. Our first results support it. Representing each lattice as a pair of graphs, the tension and compression networks, deformation delocalizes whenever the tension network remains more connected than the compression network, and graph-theoretic connectivity measures capture the transition quantitatively.&lt;/p&gt;</description></item><item><title>Truss Me!</title><link>https://csml-uci.github.io/trussme/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://csml-uci.github.io/trussme/</guid><description>&lt;h2 id="how-to-play"&gt;How to play&lt;/h2&gt;
&lt;p&gt;Truss Me! challenges you to build the lightest structure that can carry a given load. Place joints, connect them with members, and run the test: a physics engine stretches, buckles, and breaks your design in real time, and you earn a better score the lighter your structure is. In the challenge levels you compete against the computer&amp;rsquo;s design; in freestyle mode you can build anything and see how it behaves.&lt;/p&gt;</description></item><item><title>Utkarsh Raheja</title><link>https://csml-uci.github.io/team/utkarsh-raheja/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://csml-uci.github.io/team/utkarsh-raheja/</guid><description/></item><item><title>Vikram Balaji</title><link>https://csml-uci.github.io/team/vikram-balaji/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://csml-uci.github.io/team/vikram-balaji/</guid><description/></item><item><title>Zachary Smythurst</title><link>https://csml-uci.github.io/team/zachary-smythurst/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://csml-uci.github.io/team/zachary-smythurst/</guid><description/></item><item><title>Zixuan Huang</title><link>https://csml-uci.github.io/team/zixuan-huang/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://csml-uci.github.io/team/zixuan-huang/</guid><description/></item></channel></rss>