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Utah MMM Lab

@MMMLabUtah

Multiscale Mechanics & Materials Lab at @UUtah. A group conducting cutting-edge research at the nexus of materials and structures. Directed by Dr. Ashley Spear

 Salt Lake City, UT
mmm.mech.utah.edu/
Joined June 2019
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  • Followers105
Congrats to Vignesh Babu Rao for his selection as Outstanding Graduate Student Researcher of the Year in the area of solid mechanics @UtahMech! So well-deserved, Vignesh! 🎉👏#proudadvisor
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Out now in npj Computational Materials! 🗞️ “An interleaved physics-based deep-learning framework as a new cycle jumping approach for microstructurally small fatigue crack growth simulations”. #DeepLearning #materials @UtahMech nature.com/articles/s41524-0…
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#TMSSpecialtyCongress @UtahMech
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Utah MMM Lab retweeted
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TMS
@TMSSociety9 Jun 2025
🚨 All-Congress Plenary Speaker Announcement 🚨 We’re excited to welcome Tresa Pollock from @UCSB to the #TMSSpecialtyCongress 2025! Don’t miss her insightful presentation, register now: tms.org/SpecialtyCongress202… #MaterialsScience #Evolution #AI
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Interested in the latest research works using AI for applications in nanocomposites? If yes, then check out our latest review article in Composites Part A. #AI #materials sciencedirect.com/science/ar…
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Utah MMM Lab retweeted
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UofU Mech Eng@UtahMech28 Apr 2025
Congratulations to Dr. Huebner for receiving the Early Career Teaching Award! This award is given to outstanding young faculty members who have made significant contributions to teaching at the U. mech.utah.edu/huebner-receiv…
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This vision has been in the works for a long time, but it has taken years to realize because 1) predicting crack growth in 3D at microstructure scale is a hard problem, and 2) data to sufficiently train an ML model is hard to come by. Congrats, Vignesh! 🥳 authors.elsevier.com/a/1kTUp…
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Collaboration with @CoatsHeadLab on inverse predictions of fall parameters given images of skull fracture patterns in infants. The framework is intended to help clinicians make important decisions about abusive head trauma. #ML Supported by @OJPNIJ doi.org/10.1007/s10237-024-0…
Predicting fall parameters from infant skull fractures using machine learning

Predicting fall parameters from infant skull fractures using machine learning

Biomechanics and Modeling in Mechanobiology - When infants are admitted to the hospital with skull fractures, providers must distinguish between cases of accidental and abusive head trauma. Limited...

link.springer.com
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Here is a link to the shared (open) version of the paper: rdcu.be/d6Lhk
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MMM Lab member, Vignesh Babu Rao, was part of the winning team for the American Society for Composites ASC-39 Simulation Challenge. Congrats to the entire team! 🎉🎉🎉mech.utah.edu/utah-composite… #MLforinversemodeling
Utah Composites Lab Wins ASC-39 Simulation Challenge - Mechanical Engineering | University of Utah

Utah Composites Lab Wins ASC-39 Simulation Challenge - Mechanical Engineering | University of Utah

A team of graduate students from the University of Utah Department of Mechanical Engineering and Dr. Michael Czabaj’s Utah Composites […]

mech.utah.edu
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Utah MMM Lab retweeted
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UofU Mech Eng@UtahMech20 Nov 2024
Congrats to Claire Ticknor who recently won a prestigious student presentation competition at the International Conference on Advanced Manufacturing (ICAM) hosted by ASTM in Atlanta. Visit our website to learn more: mech.utah.edu/me-student-win…
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Recently at ICAM 2024 hosted by @ASTMAMCOE, PhD student Claire Ticknor won the prestigious student competition with her presentation on modeling hardening and damage behavior in 3D-printed metal matrix composites (MMCs). Congrats, Claire!🎉 @UtahMech #3Dprinting #simulation
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So excited to be at @Caltech to give a seminar tomorrow on our group’s latest work and to meet with so many impressive faculty members, postdocs, and students! Extremely grateful for this opportunity.
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Join our computational solid mechanics team @UtahMech! utah.peopleadmin.com/posting… #AcademicChatter #solidmechanics
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We teamed with @VCUENGR researchers to implement a CNN-informed genetic algorithm to design new CNT bundle microstructures that meet mechanical targets. CNN-GA found designs that exceed fitness values of the training set. #AI #materials Funded by @NASA sciencedirect.com/science/ar…
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For those on campus @UUtah, check out Vignesh Babu Rao’s PhD defense at 11am today. He will discuss an interleaved physics-based BiLSTM approach to predict life of microstructurally small fatigue cracks. @UtahCoE @utahmse @UtahMech
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Critical to advancing metal AM is developing an AM-savvy workforce. This summer, we hosted @AEatIllinois undergrad, Amber Parker, as she learned how to operate an LPBF machine @UUtah. She designed parts, support structure, and experiments using in-situ pyrometry. 🙌 #3Dprinting
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Image from Utah MMM Lab (@MMMLabUtah)
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Super excited to share our statistical analysis of crack propagation at microscale based on a large number of realistic simulations. Among other insights, we show how surface observations of small cracks can be deceiving and that 3D information is needed. sciencedirect.com/science/ar…
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Congratulations to rockstar professor and former MMM Lab member, Nadia Kouraytem, for being named a Pioneer of Progress in Science & Technology in Utah. 🎉🎉🎉👏👏👏 @USUAggies @KUTV2News
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Submit your abstract today to one of the many exciting symposia in the Data-Driven and Computational Materials Design track at TMS 2025! 👇
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Like: "Algorithms Development in Materials Science and Engineering" organized by Remi Dingreville, Saaketh Desai, Hojun Lim, Jeremy Mason, Vimal Ramanu, Sam Reeve, and Douglas Spearot programmaster.org/PM/PM.nsf/…
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