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Displaying 126 - 150 of 4253

Orphan High Field Superconductivity in Non-Superconducting Uranium Ditelluride

April 19, 2024
Author(s)
Corey Frank, Sylvia Lewin, Gicela Saucedo Salas, Peter Czajka, Ian Hayes, Hyeok Yoon, Tristin Metz, Johnpierre Paglione, John Singleton, Nicholas Butch
Reentrant superconductivity is an uncommon phenomenon in which the destructive effects of magnetic field on superconductivity are mitigated, allowing a zero-resistance state to survive under conditions that would otherwise destroy it. Typically, the

Self-Assembly of Hierarchical High-h Fluorinated Block Copolymers with an Orthogonal Smectic-within-Lamellae 3 nm Sub-Lattice and Vertical Surface Orientation

April 16, 2024
Author(s)
Bijal Patel, Hongbo Feng, Whitney Loo, Chad R. Snyder, Christopher Eom, Julia Murphy, Daniel Sunday, Paul Nealey, Dean DeLongchamp
Hierarchical structure-within-structure assemblies offer a route toward increasingly complex and multifunctional materials while pushing the limits of block copolymer self-assembly. We present a detailed study of the self-assembly of a series of

Enhanced localized corrosion resistance of Ni-based alloy 625 processed by directed energy deposition additive manufacturing

April 15, 2024
Author(s)
Karthikeyan Hariharan, Andrew Iams, James Zuback, Todd Palmer, Narasi Sridhar, Rashed Alazemi, Gerald Frankel, Eric Schindelholz
We report a significant improvement in localized corrosion resistance of Ni-based alloy 625 processed by directed energy deposition (DED) in an aggressive aqueous chloride environment. Disparities observed in the polarization behavior between DED and

Evaluating Models That Predict Epoxy Conversion Using Rheological Properties

April 15, 2024
Author(s)
Stian Romberg, Paul Roberts, Chad R. Snyder, Anthony Kotula
Simultaneous rheology and conversion measurements of neat and composite epoxy resins reveal that conventional models neither accurately nor fully describe the relationship between rheology and conversion. We find that models predicting thermoset conversion

Investigation of melt pool dynamics and solidification microstructures of laser melted Ti-6Al-4V powder using X-ray synchrotron imaging

April 10, 2024
Author(s)
Nicholas Derimow, Madelyn Madrigal-Camacho, Orion Kafka, Jake Benzing, Edward Garboczi, Samuel J. Clark, Suveen Mathaudhu, Nik Hrabe
Titanium alloy (Ti-6Al-4V) is widely used in additive manufacturing (AM) industry. However, as laser powder-bed fusion (PBF-L) additive manufacturing (AM) advances towards reliable production of titanium parts, a thorough understanding of the process

Precision Calcination Mechanism of CaCO 3 to High-Porosity Nanoscale CaO CO 2 Sorbent Revealed by Direct In Situ Observations

April 5, 2024
Author(s)
Jenny Martinez, Jenna Wardini, Xueli Zheng, Lauren Moghimi, Jason Rakowsky, Jonathan Means, Huiming Guo, Ivan Kuzmenko, Jan Ilavsky, Fan Zhang, Pratik Dholabhai, Leora Dresselhaus-Marais, William Bowman
Deploying energy storage and carbon capture at scale is hindered by the substantial endothermic penalty of decomposing CaCO3 to CaO and CO2, and the rapid loss of CO2 absorption capacity by CaO sorbent particles due to sintering at the high requisite

Simulation of Neutron Dark-Field Data for Grating-Based Interferometers

April 1, 2024
Author(s)
Caitlyn Wolf, Youngju Kim, Paul A. Kienzle, Pushkar Sathe, Michael Daugherty, Peter Bajcsy, Daniel Hussey, Kathleen Weigandt
Hierarchical structures and heterogeneous materials are found in many natural and engineered systems including additive manufacturing, alternative energy, biology and polymer science. Though the structure–function relationship is important for developing

ALF

March 31, 2024
Author(s)
Hayden Evans, Taner N. Yildirim, Peng Peng, Yongqiang Cheng, Zeyu Deng, Qiang Zhang, Dinesh Mullangi, Dan Zhao, Pieremanuele Canepa, Hanna Breunig, Anthony Cheetham, Craig Brown

Accelerating Defect Predictions in Semiconductors Using Graph Neural Networks

March 27, 2024
Author(s)
Md. Habibur Rahman, Prince Gollapalli, Panayotis Manganaris, Satyesh Kumar Yadav, Ghanshyam Pilania, Arun Kumar Mannodi-Kanakkithodi, Brian DeCost, Kamal Choudhary
First principles computations reliably predict the energetics of point defects in semiconductors, but are constrained by the expense of using large supercells and advanced levels of theory. Machine learning models trained on computational data, especially

Assessing Composite Structure in Metal-Organic Framework-Polymer Mixed-Matrix Membranes

March 15, 2024
Author(s)
Avery Baumann, Peter Beaucage, Richard Vallery, David Gidley, Ryan Nieuwendaal, Chad R. Snyder, Jan Ilavsky, Fu Chen, Christopher Stafford, Christopher Soles
Metal-organic frameworks (MOFs) are renowned for their tunable structure, porosity, and internal chemistry with demonstrated applications in molecular separations, storage, and conversion. While they are widely usable, the powdery characteristics of MOF

Impact of the Amphoteric Nature of a Chelating Surfactant on its Interaction with an Anionic Surfactant: A Surface Tension and Neutron Reflectivity Study of Binary Mixed Solutions

March 12, 2024
Author(s)
Ida Svanedal, Hakan Edlund, Magnus Norgren, Sushil Satija, Adrian Rennie
2-Dodecyldiethylenetriaminepentaacetic acid (C12-DTPA) is a chelating, amphoteric surfactant with a bulky headgroup containing eight pH-responsive groups. The hypothesis was that the amphoteric nature of the chelating surfactant would affect the

Topology as a limiting factor in mechanical properties for disordered networks

March 5, 2024
Author(s)
Marcos Reyes-Martinez, Edward Barron III, Dohgyu Hwang, Christopher Soles, Michael Bartlett, Edwin Chan
Disordered networks are ubiquitous in both the natural and synthetic worlds. Depending on the application, some are extremely soft while others are rigid. However, how network topology and intrinsic material properties combine to control deformation and

Reduction-Induced Magnetic Behavior in LaFeO3-d Thin Films

March 4, 2024
Author(s)
Nathan Arndt, Eitan Hershkovitz, Labdhi Shah, Kristoffer Kjaernes, Chao-Yao Yang, Purnima Balakrishnan, Mohammed Shariff, Shaun Tauro, Daniel Gopman, Brian Kirby, Alexander Grutter, Thomas Tybell, Honggyu Kim, Ryan Need
The effect of oxygen reduction on the magnetic properties of LaFeO3−δ (LFO) thin films was studied to better understand the viability of LFO as a candidate for magnetoionic memory. Differences in the amount of oxygen lost by LFO and its magnetic behavior

Correlating Near-Infrared Spectra to Bulk Properties in Polyolefins

February 28, 2024
Author(s)
Bradley Sutliff, Shailja Goyal, Tyler Martin, Peter Beaucage, Debra Audus, Sara Orski
The industry standard for sorting plastic wastes is near-infrared (NIR) spectroscopy, which offers rapid and nondestructive identification of various plastics. However, NIR does not provide insights into the chain composition, conformation, and topology of

The development of an augmented machine learning approach for the additive manufacturing of thermoelectric materials

February 28, 2024
Author(s)
Connor V. Headley, Roberto J. Herrera del Valle, Ji Ma, Prasanna Balachandran, Vijayabarathi Ponnambalam, Saniya LeBlanc, Dylan Kirsch, Joshua B. Martin
Through the integration of machine learning (ML) techniques alongside additive manufacturing (AM) experimentation, we demonstrate an iterative process to rapidly predict laser-material interactions and melt pool geometries throughout the build parameter
Displaying 126 - 150 of 4253
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