Explanipedia

A modular framework for collaborative human-AI, multi-modal and multi-beamline synchrotron experiments Open

Adam A. Corrao, Phillip M. Maffettone, Bruce Ravel, Thomas A Caswell, Stuart I. Campbell , et al. · 2025

High-throughput materials discovery and studies of complex functional materials increasingly rely on multi-modal characterization performed at synchrotron light sources. However, measurements are typically done with no use of data until af…

Author Correction: Coherent correlation imaging for resolving fluctuating states of matter Open

Christopher Klose, Felix Büttner, Wen Hu, C. Mazzoli, Kai Litzius , et al. · 2023

Discerning element and site-specific fluctuations of the charge-orbital order in below the Verwey transition Open

Nelson Hua, Jianheng Li, Stjepan B. Hrkac, Andi Barbour, Wen Hu , et al. · 2023

Despite countless experimental probes into magnetite's electronic structure across the Verwey transition Fe₃O₄, the exact origin of this archetypical metal-insulator transition remains a puzzle. Advanced x-ray diffrac…

Self-driving Multimodal Studies at User Facilities Open

Phillip M. Maffettone, Daniel Allan, Stuart I. Campbell, Matthew R. Carbone, Thomas A Caswell , et al. · 2023

Multimodal characterization is commonly required for understanding materials. User facilities possess the infrastructure to perform these measurements, albeit in serial over days to months. In this paper, we describe a unified multimodal m…

Coherent correlation imaging for resolving fluctuating states of matter Open

Christopher Klose, Felix Büttner, Wen Hu, C. Mazzoli, Kai Litzius , et al. · 2023

Fluctuations and stochastic transitions are ubiquitous in nanometre-scale systems, especially in the presence of disorder. However, their direct observation has so far been impeded by a seemingly fundamental, signal-limited compromise betw…

Next generation experimental data access at NSLS-II Open

Maksim Rakitin, Stuart I. Campbell, Daniel Allan, Thomas A Caswell, Dmitri Gavrilov , et al. · 2022

The NSLS-II network and computing infrastructure has been significantly updated recently. The re-IP process in 2020-2021 enabled the NSLS-II network to be routable to the rest of the BNL campus. Then, standardization of the operating syste…

Delivering real-time multi-modal materials analysis with enterprise beamlines Open

Phillip M. Maffettone, Stuart I. Campbell, Marcus D. Hanwell, S. B. Wilkins, Daniel Olds · 2022

Contemporary advancements in low-cost automation and computation, reduced barrier to entry in developing artificial intelligence/machine learning (AI/ML), and increased ability to represent complex materials in digital form have led to a n…

Data and code for Coherent Correlation Imaging: Resolving fluctuating states of matter Open

Christopher Klose, Felix Büttner, Wen Hu, C. Mazzoli, Kai Litzius , et al. · 2022

Data and code to generate the figures in the main text and the Extended data figures.

Data and code for Coherent Correlation Imaging: Resolving fluctuating states of matter Open

Christopher Klose, Felix Büttner, Wen Hu, C. Mazzoli, Kai Litzius , et al. · 2022

Data and code to generate the figures in the main text and the Extended data figures.

Imaging mesoscopic antiferromagnetic spin textures in the dilute limit from single-geometry resonant coherent x-ray diffraction Open

Martin Bluschke, Rourav Basak, Andi Barbour, Ashley N. Warner, K. Fürsich , et al. · 2022

The detection and manipulation of antiferromagnetic domains and topological antiferromagnetic textures are of central interest to solid-state physics. A fundamental step is identifying tools to probe the mesoscopic texture of an antiferrom…

Data and code for Coherent Correlation Imaging: Resolving fluctuating states of matter Open

Christopher Klose, Felix Büttner, Wen Hu, C. Mazzoli, Kai Litzius , et al. · 2022

Data and code to generate the figures in the main text and the Extended data figures.

Real-space observation of fluctuating antiferromagnetic domains Open

M. G. Kim, Andi Barbour, Wen Hu, S. B. Wilkins, Ian Robinson , et al. · 2022

Magnetic domains play a fundamental role in physics of magnetism and its technological applications. Dynamics of antiferromagnetic domains is poorly understood, although antiferromagnets are expected to be extensively used in future electr…

Data and code for Coherent Correlation Imaging: Resolving fluctuating states of matter Open

Christopher Klose, Felix Büttner, Wen Hu, C. Mazzoli, Kai Litzius , et al. · 2021

Data and code to generate the figures in the main text and the Extended data figures.

Charge Condensation and Lattice Coupling Drives Stripe Formation in Nickelates Open

Yao Shen, G. Fabbris, H. Miao, Yue Cao, D. Meyers , et al. · 2021

Revealing the predominant driving force behind symmetry breaking in correlated materials is sometimes a formidable task due to the intertwined nature of different degrees of freedom. This is the case for La_{2-x}Sr_{x}NiO_{4+δ}, in which c…

Switchable X-Ray Orbital Angular Momentum from an Artificial Spin Ice Open

Justin Woods, Xiaoqian M. Chen, Rajesh V. Chopdekar, Barry Farmer, C. Mazzoli , et al. · 2021

The orbital angular momentum (OAM) of visible and infrared photons has been widely studied and practically applied. Now, there is rapidly growing interest in X-ray OAM for imaging and probing materials at the nanoscale. Recently, a team of…

Dynamics of a fractal set of first-order magnetic phase transitions in frustrated Open

Adra Carr, John Bowlan, C. Mazzoli, Colby Walker, Xiaxin Ding , et al. · 2021

X-ray photon correlation spectroscopy (XPCS) enables us to study dynamics of\nantiferromagnets. Using coherent soft X-ray diffraction, we resonantly probe Mn\nand Co Bragg peaks in the frustrated magnetic chain compound Lu2CoMnO6\nsignific…

Outlook for artificial intelligence and machine learning at the NSLS-II Open

Stuart I. Campbell, Daniel Allan, Andi Barbour, Daniel Olds, Maksim Rakitin , et al. · 2020

We describe the current and future plans for using artificial intelligence and machine learning (AI/ML) methods at the National Synchrotron Light Source II (NSLS-II), a scientific user facility at the Brookhaven National Laboratory. We dis…

Analysis of the EMCCD point-source response using x-rays Open

I. Kotov, Siedah J. Hall, David Gopinath, Andi Barbour, Jiemin Li , et al. · 2020

Wave optics simulations for new soft x-ray beamlines at NSLS-II Open

An He, Oleg Chubar, Joseph Dvorak, Wen Hu, Steven L. Hulbert , et al. · 2020

In this work, we performed fully- and partially-coherent synchrotron emission and propagation simulations with the "Synchrotron Radiation Workshop" computer code to analyze the performance of two soft X-ray beamlines under development at t…

Distinction between pristine and disorder-perturbed charge density waves in ZrTe3 Open

Li Yue, Shangjie Xue, Jiarui Li, Wen Hu, Andi Barbour , et al. · 2020

Scale-invariant magnetic textures in the strongly correlated oxide NdNiO3 Open

Jiarui Li, Jonathan Pelliciari, C. Mazzoli, Sara Catalano, Forrest Simmons , et al. · 2019

Strongly correlated quantum solids are characterized by an inherently granular electronic fabric, with spatial patterns that can span multiple length scales in proximity to a critical point. Here, we use a resonant magnetic X-ray scatterin…

Voltage-gated optics and plasmonics enabled by solid-state proton pumping Open

Mantao Huang, Aik Jun Tan, Felix Büttner, Hailong Liu, Qifeng Ruan , et al. · 2019

Spontaneous Magnetic Superdomain Wall Fluctuations in an Artificial Antiferromagnet Open

X. M. Chen, Barry Farmer, James S. Woods, Scott Dhuey, Wen Hu , et al. · 2019

Collective dynamics often play an important role in determining the stability of ground states for both naturally occurring materials and metamaterials. We studied the temperature dependent dynamics of antiferromagnetically ordered superdo…

[Office of Basic Energy Sciences (BES)] Roundtable on Producing and Managing Large Scientific Data with Artificial Intelligence and Machine Learning Open

Daniel Ratner, Bobby G. Sumpter, Frank Alexander, Jay Jay Billings, Ryan Coffee , et al. · 2019

This report describes four priority research opportunities for AI and machine learning presented at the roundtable. The report also provides a summary on computer science and mathematics that highlights where enhanced AI/ML capabilities co…

Distinct fingerprints of charge density waves and electronic standing waves in ZrTe$_3$ Open

Li Yue, Shangjie Xue, Jiarui Li, Wen Hu, Andi Barbour , et al. · 2019

Experimental signatures of charge density waves (CDW) in high-temperature superconductors have evoked much recent interest, yet an alternative interpretation has been theoretically raised based on electronic standing waves resulting from q…

Imaging antiferromagnetic antiphase domain boundaries using magnetic Bragg diffraction phase contrast Open

M. G. Kim, H. Miao, Bin Gao, Sang‐Wook Cheong, C. Mazzoli , et al. · 2018

Magneto-ionic control of magnetism using a solid-state proton pump Open

Aik Jun Tan, Mantao Huang, Can Onur Avci, Felix Büttner, Maxwell Mann , et al. · 2018

Orbital Domain Dynamics in Magnetite below the Verwey Transition Open

Roopali Kukreja, Nelson Hua, Josh Ruby, Andi Barbour, Wen Hu , et al. · 2018

The metal-insulator phase transition in magnetite, known as the Verwey transition, is characterized by a charge-orbital ordering and a lattice transformation from a cubic to monoclinic structure. We use x-ray photon correlation spectroscop…

Habituation based synaptic plasticity and organismic learning in a quantum perovskite Open

Fan Zuo, Priyadarshini Panda, Michele Kotiuga, Jiarui Li, Mingu Kang , et al. · 2017

Habituation based synaptic plasticity and organismic learning in a quantum perovskite Open

Fan Zuo, Priyadarshini Panda, Michele Kotiuga, C. Mazzoli, Hua Zhou , et al. · 2017

A central characteristic of living beings is the ability to learn from and respond to their environment leading to habit formation and decision making. This behavior, known as habituation, is universal among all forms of life with a centra…

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