collaborators

6 papers

cond-mat.mtrl-sci2026

Phase-field simulations of nucleation, growth, and coarsening of precipitates in Mg-Nd alloys

Lingxia Shi, Stephen DeWitt, David Montiel +3

The spatial distribution and morphology of precipitates formed during aging are key factors that determine the precipitation hardening response of various magnesium-rare earth allo…

cond-mat.mtrl-sci2026

Understanding the kinetics of static recrystallization in Mg-Zn-Ca alloys using an integrated PRISMS simulation framework

David Montiel, Philip Staublin, Supriyo Chakraborty +6

Recrystallization is a phenomenon in which a plastically deformed polycrystalline microstructure with a high dislocation density transforms into another that has low dislocation de…

physics.optics2026

Synthetic topological device for advancing elastic energy harvesting

Jiamin Guo, Zhongming Gu, Lei Fan +4

High-efficiency energy harvesting of ultrasonic elastic waves are crucial for powering electric gadgets in many emerging technologies such as wearable devices, wireless sensing, an…

cs.HC2026

Revising Bloom's Taxonomy for Dual-Mode Cognition in Human-AI Systems: The Augmented Cognition Framework

Kayode P. Ayodele, Enoruwa Obayiuwana, Aderonke R. Lawal +3

As artificial intelligence (AI) models become routinely integrated into knowledge work, cognitive acts increasingly occur in two distinct modes: individually, using biological reso…

cs.LG2025

Navigating Uncertainties in Machine Learning for Structural Dynamics: A Comprehensive Survey of Probabilistic and Non-Probabilistic Approaches in Forward and Inverse Problems

Wang-Ji Yan, Lin-Feng Mei, Jiang Mo +3

In the era of big data, machine learning (ML) has become a powerful tool in various fields, notably impacting structural dynamics. ML algorithms offer advantages by modeling physic…

cond-mat.mtrl-sci2025

Accelerated Multi-Objective Alloy Discovery through Efficient Bayesian Methods: Application to the FCC Alloy Space

Trevor Hastings, Mrinalini Mulukutla, Danial Khatamsaz +14

This study introduces BIRDSHOT, an integrated Bayesian materials discovery framework designed to efficiently explore complex compositional spaces while optimizing multiple material…