A5028798684- Magnetic and transport properties of perovskites and related materials
- Advanced Condensed Matter Physics
- Electronic and Structural Properties of Oxides
- Machine Learning in Materials Science
- Electrocatalysts for Energy Conversion
- Semiconductor materials and devices
- Cultural Heritage Materials Analysis
- Advancements in Battery Materials
- Physics of Superconductivity and Magnetism
- X-ray Diffraction in Crystallography
- Multiferroics and related materials
- Building materials and conservation
- Advanced Battery Materials and Technologies
- X-ray Spectroscopy and Fluorescence Analysis
- Advanced X-ray Imaging Techniques
- Electron and X-Ray Spectroscopy Techniques
- Ferroelectric and Piezoelectric Materials
- Catalytic Processes in Materials Science
- Radioactive element chemistry and processing
- MXene and MAX Phase Materials
- Ferroelectric and Negative Capacitance Devices
- Magnetic properties of thin films
- Conservation Techniques and Studies
- Transition Metal Oxide Nanomaterials
- Fuel Cells and Related Materials
SLAC National Accelerator Laboratory
2016-2025
Material Sciences (United States)
2025
Stanford Synchrotron Radiation Lightsource
2015-2024
Linac Coherent Light Source
2014-2023
University of Maryland, College Park
2013-2022
Colorado School of Mines
2022
Argonne National Laboratory
2022
National Institute of Standards and Technology
2019-2022
National Renewable Energy Laboratory
2022
John Wiley & Sons (United Kingdom)
2021
Lithium-rich layered transition metal oxide positive electrodes offer access to anion redox at high potentials, thereby promising energy densities for lithium-ion batteries. However, is also associated with several unfavorable electrochemical properties, such as open-circuit voltage hysteresis. Here we reveal that in Li
Coupling artificial intelligence with high-throughput experimentation accelerates discovery of amorphous alloys.
Surface structural transitions and active sites are identified using X-ray scattering density functional theory.
Charge density wave (CDW) correlations have recently been shown to universally exist in cuprate superconductors. However, their nature at high fields inferred from nuclear magnetic resonance is distinct that measured by x-ray scattering zero and low fields. Here we combine a pulsed magnet with an free electron laser characterize the CDW YBa2Cu3O6.67 via up 28 Tesla. While zero-field order, which develops below T ~ 150 K, essentially two-dimensional, lower temperature beyond 15 Tesla, another...
Active learning-the field of machine learning (ML) dedicated to optimal experiment design-has played a part in science as far back the 18th century when Laplace used it guide his discovery celestial mechanics. In this work, we focus closed-loop, active learning-driven autonomous system on another major challenge, advanced materials against exceedingly complex synthesis-processes-structure-property landscape. We demonstrate an methodology for functional inorganic compounds which allow...
The Materials Genome Initiative, a national effort to introduce new materials into the market faster and at lower cost, has made significant progress in computational simulation modeling of materials. To build on this progress, large amount experimental data for validating these models, informing more sophisticated ones, will be required. High-throughput experimentation generates volumes using combinatorial synthesis rapid measurement techniques, making it an ideal complement bring...
The electrochemical CO2 reduction reaction (CO2RR) using Cu-based catalysts holds great potential for producing valuable multi-carbon products from renewable energy. However, the chemical and structural state of Cu catalyst surfaces during CO2RR remains a matter debate. Here, we show evolution near-surface region polycrystalline electrodes under in situ conditions through combination grazing incidence X-ray absorption spectroscopy (GIXAS) diffraction (GIXRD). GIXAS reveals that surface oxide...
Advanced materials characterization techniques with ever-growing data acquisition speed and storage capabilities represent a challenge in modern science new procedures to quickly assess analyze the are needed. Machine learning approaches effective reducing complexity of rapidly homing on underlying trend multi-dimensional data. Here, we show that by employing an algorithm called mean shift theory large amount diffraction high-throughput experimentation, one can streamline process delineating...
The ability to probe morphology and phase distribution in complex systems at multiple length scales unravels the interplay of nano- micrometer-scale factors origin macroscopic behavior. While different electron- X-ray-based imaging techniques can be combined with spectroscopy high resolutions, owing experimental time limitations resulting fields view are too small representative a composite sample. Here new X-ray set-up is proposed, combining full-field transmission microscopy (TXM)...
High Entropy Alloys are inherently complex and span a vast composition space, making their research discovery challenging. Developing quantitative predictions of phase selection requires large quantity consistently determined experimental data. Here, we use combinatorial methods to fabricate characterize 2478 quinary alloys based on Al transition metals. All data publicly available at http://materialsatlasproject.org/. Phase can be predicted for considered when combining the content FCC/BCC...
Traditional machine learning (ML) metrics overestimate model performance for materials discovery.
The phase transition, charge compensation, and local chemical environment of Ni in LiNiO2 were investigated to understand the degradation mechanism. electrode was subjected a variety bulk surface-sensitive characterization techniques under different charge-discharge cycling conditions. We observed transition from original hexagonal H1 another two phases (H2 H3) upon Li deintercalation. Moreover, gradual loss H3-phase features revealed during repeated charges. reduction redox activity...
Chemical and structural heterogeneity the resulting interaction of coexisting phases can lead to extraordinary behaviours in oxides, as observed piezoelectric materials at morphotropic phase boundaries relaxor ferroelectrics. However, such phenomena are rare metallic alloys. Here we show that, by tuning presence textured Co(1-x)Fe(x) thin films, effective magnetostriction λ(eff) large 260 p.p.m. be achieved low-saturation field ~10 mT. Assuming λ(100) is dominant component, this number...
Ancient Jian wares are famous for their lustrous black glaze that exhibits unique colored patterns. Some striking examples include the brownish "Hare's Fur" (HF) strips and silvery "Oil Spot" (OS) Herein, we investigated surface of HF OS samples using a variety characterization methods. Contrary to commonly accepted theory, identified presence ε-Fe2O3, rare metastable polymorph Fe2O3 with magnetic properties, in both samples. We found crystals up several micrometers size exclusively made...
By live-monitoring Cu and Cu2O Bragg peaks from the surface of a polycrystalline electrode while scanning open-circuit potential to CO reduction potentials, we show that near-surface region is fully converted metallic phase at approximately +0.3 V vs RHE.
Xi-cam is an extensible platform for data management, analysis and visualization. aims to provide a flexible approach synchrotron treatment as solution rising demands high-volume/high-throughput processing pipelines. The core of plugin-based graphical user interface which provides users with interactive algorithms. Plugins are available SAXS/WAXS/GISAXS/GIWAXS, tomography NEXAFS data. With Xi-cam's `advanced' mode, steps designed graph-based workflow, can be executed live, locally or...
Ceramic materials based on the garnet structure Li7La3Zr2O12 (LLZO) show great promise as lithium-ion conducting electrolytes for solid-state lithium batteries. However, these exhibit surface degradation when exposed to air and moisture, which adversely impacts their functioning in operating devices. In this work, we use several depth-profiling situ techniques probe nature of reactions that occur aluminum (Al)-substituted LLZO is air. These experiments a proton exchange reaction occurs near...
The existence of charge density wave (CDW) correlations in cuprate superconductors has now been established. However, the nature ground state order remained uncertain because disorder and presence superconductivity typically limit CDW correlation lengths to a dozen unit cells or less. Here we explore YBa2Cu3Ox (YBCO) ortho-II ortho-VIII crystals, which belong cleanest available family, at magnetic fields excess resistive upper critical field (Hc2) where is heavily suppressed. We find an...