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Displaying 1 - 25 of 2380

Photopolymer Additive Manufacturing 2025 Workshop Report: Building a Unified Vision from Research to Regulation

June 10, 2026
Author(s)
Callie Higgins, Jason Killgore, Mike Idacavage, Vince Anewenter, Mickey Fortune, Gary Cohen, Perri Katzman, Jessica Hemond, Spencer Loveless, Michael Gould
The third biannual Photopolymer Additive Manufacturing Alliance Workshop was held on September 15-16, 2025, at the University of Colorado Boulder to continue its mission of advancing photopolymer additive manufacturing (PAM). Building on the 2023 PAMA

Spatial heterogeneity in polymer blends and its impact on dynamics

June 6, 2026
Author(s)
Bret Tantorno, Tuyen Truong, Lori Hoover, Gregory McKenna, Ran Tao, Fan Zhang
The relationship between dynamic and spatial heterogeneity in polymer blends is still not fully understood, yet it plays a crucial role in our understanding of their viscoelastic properties. Here, we report the results of an investigation of the

Atom Probe Tomography

May 13, 2026
Author(s)
Ann Debay, Baptiste Gault, Francois Vurpillot
Atom probe tomography (APT) has been rising in prominence since its inception. APT grew from field-ion microscopy, which was the first technique to allow for directly imaging individual atoms on a surface, as early as the 1950s. Today, APT provides

Digital Volume Correlation Challenge 2.0: A Comprehensive Dataset for Digital Volume Correlation Benchmarking

May 13, 2026
Author(s)
Zixiang Tong, Yujie Zhang, Edward Ando, Bin Chen, Brendan Croom, John Dabiri, Christian Franck, Matthew Fu, Helena Jin, Orion Kafka, Sriram Kunnoth, Thao Nguyen, Jacob Notbohm, Mohak Patel, Mainak Sarkar, Angkur Shaikeea, Jing Zhang, Alexander Landauer, Jin Yang
Background: Digital Volume Correlation (DVC) is a powerful experimental technique for quantifying 3D full-field volumetric displacements and strains. In light of its increase adoption in metrological applications, there is a critical need for benchmark

Overcoming Roadblocks for Implementing AI/ML Methods for Materials Advancement

April 6, 2026
Author(s)
James Warren, Francesca Tavazza, Austin McDannald, Aaron Kusne, Howard Joress, David Hoogerheide, Brian DeCost, Kamal Choudhary, Debra Audus
The development of novel materials with tailored properties is a complex, multi-objective optimization problem that has long been a challenge in materials research. The integration of artificial intelligence (AI) and machine learning (ML) techniques has

Dynamic Embedding Representation for Graph Neural Networks to Enhance Materials Property Prediction with Limited Datasets

March 24, 2026
Author(s)
Vishu Gupta, Kamal Choudhary, Youjia Li, Muhammed Nur Talha Kili, Daniel Wines, Wei-keng Liao, Alok Choudhary, Ankit Agrawal
Graph neural networks (GNNs) have proven effective in understanding and predicting diverse material properties, even when working with limited datasets. An important step in training GNN is to use an appropriate and informative graph embedding that can

Studies Of Water Films and Carbonation Via Neutron Scattering and Infrared Adsorption: In Situ Studies of Mg(OH)2 and Ca(OH)2

March 24, 2026
Author(s)
Hubert King, Ryan Murphy, Avery Baumann, Robert Dalgliesh, Dirk Honecker, Gregory Smith
Small-angle neutron scattering was used to investigate structural evolution during the carbonation of Ca(OH)₂ and Mg(OH)₂ under humidified CO₂, using both H₂O and D₂O vapor. For Ca(OH)₂, carbonation led to a progressive increase in both nano- and meso

Spin excitation continuum from degenerate states in the mixed ferro-antiferromagnetic exchange system CeMgAl11O19

March 6, 2026
Author(s)
Bin Gao, Tong Chen, Chunxaio Liu, Mason Klemm, Shu Zhang, Zhen Ma, Xianghan Xu, CHOONGJAE WON, Gregory McCandless, Karthik Rao, Naoki Murai, Seiko Ohira-Kawamura, Stephen Moxim, Jason Ryan, Xiaozhou Huang, Xiaoping Wang, Manh Duc Le, Emilia Morosan, Julia Chan, Sang-Wook Cheong, Oleg Tchernyshyov, Leon Balents, Pengcheng Dai
In magnetically ordered insulators, elementary quasiparticles manifest as spin waves - collective motions of localized magnetic moments that propagate through the lattice - observed via inelastic neutron scattering. In effective spin- 1/2 systems where

Surface-State-Driven Anomalous Hall Effect in Altermagnetic MnTe Films

February 10, 2026
Author(s)
Ling-Jie Zhou, Zhi J. Yan, Hongtao Rong, Yufei Zhao, Pu Xiao, Lok K. Lai, Zhiyuan Xi, Ke Wang, Tibendra Adhikari, Ganesh P. Tiwari, Zhong Lin, Pascal Manuel, Fabio Orlandi, Dmitry Khalyavin, Alexander Grutter, Chao-Xing Liu, Binghai Yan, Cui-Zu Chang
Altermagnets have recently emerged as a new class of magnetic materials that combine compensated magnetic order with spin-split electronic band structures. In this work, we employ molecular beam epitaxy (MBE) to grow MnTe thin films with controlled

Halogen Bonding Can Stabilize Permanent Porosity

February 3, 2026
Author(s)
Michael Moghadasnia, Hayden Evans, J. Sanchez Hernandez, Adria Hippely, Madilyn Holm, Gemma Ponce, Hannah Martin, Ronin Mannina, Brian Eckstein, Ryan Klein, Praveen Kumar, Charlotte Stern, Craig Brown, C. McGuirk
Halogen bonding has emerged as an intuitive and programmable handle for constructing ordered molecular solids. However, its ability to support permanent porosity has remained unresolved. Here, we report a self-complementary strategy that surpasses this

Scanned Squid Microscope with High-speed Electrical Connectivity

January 26, 2026
Author(s)
Ian Haygood, Bochao Xu, John Biesecker, Michael Schneider
We report on a cryogen-free scanned SQUID microscope operating at 4 K, with the capability of up to 40 RF (40 GHz) connections to a device under test. The system utilizes planar gradiometric SQUID loops which are fully shield except for a pair of pickup

Evaluating Large Language Models for Inverse Semiconductor Design

January 16, 2026
Author(s)
MUHAMMED NUR TALHA KILIC, Daniel Wines, Kamal Choudhary, Vishu Gupta, Youjia Li, Sayak Chakrabarty, WEI-KENG LIAO, Alok Choudhary, Ankit Agrawal
Large Language Models (LLMs) with generative capabilities have garnered significant attention in various domains, including materials science. However, systematically evaluating their performance for structure generation tasks remains a major challenge. In
Displaying 1 - 25 of 2380
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