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Displaying 26 - 50 of 2423

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

Determinism analysis in Hybrid-LLM-GNN modeling for materials property prediction

May 26, 2026
Author(s)
Youjia Li, Daniel Wines, Kamal Choudhary, Vishu Gupta, MUHAMMED NUR TALHA KILIC, Sayak Chakrabarty, Wei-keng Liao, Alok Choudhary, Ankit Agrawal
Driven by advances in artificial intelligence and the growing availability of databases, machine learning (ML) now plays a central role in data-driven materials knowledge discovery. In studies that employ ML models, maintaining deterministic workflows is

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

Efficiency Analysis of Electrically-Driven Silicon Color Centers for Photonic Integration

May 6, 2026
Author(s)
Nikki Ebadollahi, Christian Pederson, Saumya Choudhary, Marcelo Davanco, Pradeep Namboodiri, Kartik Srinivasan, Aaron Katzenmeyer, Joshua Pomeroy
By engineering silicon color center (CC) embedded p-i-n junctions, we achieve telecom-band electroluminescence and identify optimal device geometries. We aim to integrate CCs with photonic cavities toward efficient, electrically-driven single-photon

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

Depth Profiling Square Planar Nickelates

March 31, 2026
Author(s)
Purnima P. Balakrishnan, Maria Bambrick-Santoyo, Lin Chow, Dan Segedin, Mythili Surendran, Ranjan Patel, Paige Quarterman, Shinichiro N. Muramoto, Grace Pan, Zhaoyang Luo, Michael Fitzsimmons, Amanda Huon, Timothy Charlton, Christy Kinane, Andrew Caruana, Hui Wu, Charles Brooks, Qi Song, Hanjong Paik, Srimanta Middey, Jayakanth Ravichandran, A. Ariando, Julia A. Mundy, Alexander Grutter
Superconducting nickelate thin films with the layered square-planar structure are synthesized via the topotactic reduction of a more oxygen rich perovskite or Ruddlesden-Popper (RP) phase due to the instability of the target Ni1+δ valence. The topotactic

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

System-Conditioned Reparameterization of the SCAN Functional for Accurate Bandgaps: From Analytical Constraints to Machine Learning

March 7, 2026
Author(s)
Viviana Faride Dovale Farelo, Pedram Tavadze, Miguel Marques, Srinjoy Das, Kamal Choudhary, Alejandro Bautista-Hernandez, Aldo Romero
This work investigates how reparametrizing the Strongly Constrained and Appropriately Normed (SCAN) exchange–correlation (XC) functional within density functional theory affects predictions of the electronic bandgap (Eg) for solids. A system dependent

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

Characterization of volcanic tuff pores pre- and post-underground nuclear detonation using ultra-small and small angle neutron scattering

February 21, 2026
Author(s)
Mei Ding, Rex Hjelm, Marilyn Hawley, Aviva Sussman, Scott Broome, Jennifer Wilson, John Barker, Erika Swanson, Chelsea Neil
The ability to accurately model the subsurface transport of radionuclides is fundamental to the remote detection and characterization of underground nuclear explosion (UNE) events. Developing more sophisticated transport models presents a significant
Displaying 26 - 50 of 2423
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