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Cherno Jaye, Conan Weiland, Daniel Fischer, John Ponis, Nicholas Jerla, George Agbeworvi, Saul Perez-Beltran, Nitin Kumar, Kenna Ashen, Jialu Li, Edrick Wang, Michelle A. Smeaton, Fatme Jardali, Sarbajeet Chakraborty, Patrick J. Shamberger, Katherine L. Jungjohann, Lu Ma, Jinghua Guo, G Sambandamurthy, Xiaofeng Qian, Sarbajit Banerjee
: Building artificial neurons and synapses is key to achieving the promise of energy efficiency and acceleration envisioned for brain-inspired information processing. Emulating the spiking behavior of biological neurons in physical materials requires
Sofia Sotiriadou, Eleftheria Ntonti, Marc Assael, Marcia Huber
This paper presents new wide˗ranging correlations for the viscosity and thermal conductivity of acetone (2˗propanone or dimethyl ketone) based on critically evaluated experimental data. Both correlations are designed to be used with a Helmholtz˗energy
Caitlyn M. Wolf, Peter Bajcsy, Wei-Ren Chen, Robert Dalgliesh, Michael Daugherty, Liliana de Campo, Fumiaki Funama, Lilin He, Michael Huber, David Jacobson, Paul A. Kienzle, Youngju Kim, Hubert King, Nikolai Klimov, Jacob LaManna, Fankang Li, Alexander Long, Ryan Murphy, Gergely Nagy, Sarah M. Robinson, Pushkar Sathe, Gregory N. Smith, Anna Sokolova, Sven Vogel, Erik Watkins, Yuxuan Zhang, Daniel Hussey, Kathleen Weigandt
The continued advancement of complex materials often requires a deeper understanding of the structure–function relationship across many length scales, which quickly becomes an arduous task when multiple measurements are required to characterize
The study delves into the adsorption of sunflower proteins at the air/water interface using specular X-ray reflection. The research involved fitting models of the protein films to the reflectivity data, resulting in detailed images of the X-ray scattering
Nicholas Derimow, Jake Benzing, Jacob Garcia, Zachary Levin, Ping Lu, Newell Moser, Chad Beamer, Frank DelRio, Nikolas Hrabe
The laser powder bed fusion (PBF-L) additive manufacturing (AM) community has dedicated significant efforts into process optimization and control for defect-free Ti-6Al-4V. As defects become less of an issue for PBF-L Ti-6Al-4V, the processing-structure
Alec Saville, Adriana Eres-Castellanos, Andrew Kustas, Levi Van Bastian, Donald Susan, Dale Cillessen, Sven Vogel, Natalie Compton, Kester Clarke, Amy Clarke
Controlling microstructural evolution in metallic additive manufacturing (AM) is difficult, especially in producing refined as-built grains instead of coarse, directional grains. Traditional solutions involve adding inoculants to AM feedstocks, but
Morgan Kramer, Luke Daemen, Yongqiang Cheng, Rafael Balderas-Xicohtencatl, Anibal Ramirez-Cuesta, Craig Brown, Tomce Runcevski
Saturn's moon Titan features a surface composed of various organic solids with pronounced compositional and structural diversity. On top of the icy core, the surface experiences a temperature of ≈93 K and pressure of ≈1.45 atm. Under these conditions, most
Cherno Jaye, Conan Weiland, Daniel Fischer, Alice R. Giem, Jaime R. Ayala, Sarbajit Banerjee
Fluoridating reagents are used to model interfacial reactions in fluoride-ion batteries. Topochemical F-ion insertion is evidenced for one-dimensional (1D) tunnel-structured FeSb2O4 but interphase formation comprising antimony (oxy)fluorides is observed
Zachary Trautt, Austin McDannald, Brian DeCost, Howard Joress, A. Gilad Kusne, Francesca Tavazza, Tom Blanton
The National Institute of Standards and Technology and the International Centre for Diffraction Data co-hosted a workshop on 17-18 October 2023 to identify and prioritize the goals, challenges, and opportunities for critical and emerging technology needs
Luckshitha Suriyasena Liyanage, Nathan Orloff, Nicholas Jungwirth, Sarah Evans, Christian Long, Angela Stelson, Jacob Pawlik, James Booth
Broadband measurements are important for characterizing a wide range of materials for communications applications at microwave and mm-wave frequencies. Here we report on broadband measurements of the effective permittivity of conductor-dielectric flexible
Kamal Choudhary, Peter Minch, Trevor David Rhone, Romakanta Bhattarai
We study two-dimensional (2D) magnetic materials using state-of-the-art machine learning models that use a graph-theory framework. We find that representing materials as graphs allows us to better learn structure-property relationships by leveraging both
This report was written following a virtual government-to-stakeholder event hosted on October 1, 2024 by the U.S.-EU Trade and Technology Council (TTC)'s Plastics Recycling Workstream of Working Group 1: Technology Standards, with representatives from the
Marzieh Mirzamani, Marc Flickinger, Ronald Jones, Kavssery Ananthapadmanabhan, Ed Smith, Harshita Kumari
This study investigates the encapsulation and controlled release of perfume within micellar systems. We explored how perfume‐surfactant interactions and micelle structure influence fragrance delivery. Two mixed‐micelle systems, one with branched‐tail and
Wenqing He, Tianyi Zhang, Yongjian Zhou, Caihua Wan, Hao Wu, Baoshan Cui, Jihao Xia, Ran Zhang, Tengyu Guo, Peng Chen, Mingkun Zhao, Leina Jiang, Alexander Grutter, Purnima P. Balakrishnan, Andrew Caruana, Christy Kinane, Sean Langridge, Guoqiang Yu, Cheng Song, Xiufeng Han
Spintronics is based on the electrical manipulation of magnetic order through current-induced spin torques. In collinear antiferromagnets with perpendicular magnetic anisotropy, binary states can be directly encoded in their opposite Néel order. The
Marcus Carter, Huong Giang Nguyen, Andrew Allen, Feng Yi, Wei-Chang Yang, Avery Baumann, William S. McGivern, Jeffrey A. Manion, Ivan Kuzmenko, Zois Tsinas, Charlotte Wentz, Malia Wenny, Daniel Siderius, Roger van Zee, Christopher Stafford, Craig Brown
As part of U.S. national efforts to combat the detrimental effect of global climate change, the National Institute of Standards and Technology (NIST) was recently tasked to support efforts in direct air capture (DAC) of carbon dioxide research and
We develop a rheological model to approximate the nonlinear rheology of wormlike micelles using two constitutive models to represent a structural transition at high shear rates. The model is intended to describe the behavior of semidilute wormlike micellar
Applications often expose wormlike micelle solutions to a very wide range of shear and temperature conditions. The two-species model presented in Part I [Salipante et al., J. Rheol. 68 (2024)] describes the nonlinear rheology over a wide range of shear
Nicholas Derimow, Jake Benzing, Howard Joress, Austin McDannald, Ping Lu, Frank DelRio, Newell Moser, Matthew Connolly, Alec Saville, Orion Kafka, Chad Beamer, Ryan Fishel, Chris Hadley, Nikolas Hrabe
This work investigated non-standard HIP cycles for PBF-L Ti-6Al-4V and characterized microstructure and tensile properties to compare between material that originated from the same build. For 920 °C, faster cooling rates (100 °C/min, 2000 °C/min) were
Yang Huang, Shih-Han Wang, Luke Achenie, Kamal Choudhary, Hongliang Xin
We uncover the origin of unique electronic structures of single-atom alloys (SAAs) by interpretable deep learning. The approach integrates tight-binding moment theory with graph neural networks to accurately describe the local electronic structure of
We present a new wide-ranging correlation for the viscosity of nitrogen based on critically evaluated experimental data. The correlation is designed to be used with densities from an existing equation of state, which is valid from the triple point to 1000