Kiran Sasikumar

In Situ 3D Imaging of Catalysis Induced Strain in Gold Nanoparticles.

Multielectron transfer processes are crucially important in energy and biological science but require favorable catalysts to achieve fast kinetics. Nanostructuring catalysts can dramatically improve their properties, which can be difficult to understand due to strain- and size-dependent thermodynamics, the influence of defects, and substrate-dependent activities. Here, we report three-dimensional (3D) imaging of single gold nanoparticles during catalysis of ascorbic acid decomposition using Bragg coherent diffractive imaging (BCDI). Local strains were measured in single nanoparticles and modeled using reactive molecular dynamics (RMD) simulations and finite element analysis (FEA) simulations. RMD reveals the pathway for local strain generation in the gold lattice: chemisorption of hydroxyl ions. FEA reveals that the RMD results are transferable to the nanocrystal sizes studied in the experiment. Our study probes the strain-activity connection and opens a powerful avenue for theoretical and experimental studies of nanocrystal catalysis.

Manala: A Flexible Flow Control Library for Asynchronous Task Communication

Tasks coupled in an in situ workflow may not process data at the same speed, potentially causing overflows in the communication channel between them. To prevent this problem, software infrastructures for in situ workflows usually impose a strict FIFO policy that has the side-effect of slowing down faster tasks to the speed of the slower ones. This may not be the desired behavior; for example, a scientist may prefer to drop older data in the communication channel in order to visualize the latest snapshot of a simulation. In this paper, we present Manala, a flexible flow control library designed to manage the flow of messages between a producer and a consumer in an in situ workflow. Manala intercepts messages from the producer, stores them, and selects the message to forward to the consumer depending on the flow control policy. The library is designed to ease the creation of new flow control policies and buffering mechanisms. We demonstrate with three examples how changing the flow control policy between tasks can influence the performance and results of scientific workflows. The first example focuses on materials science with LAMMPS and a synthetic diffraction analysis code. The second example is an interactive visualization scenario with Gromacs as the producer and Damaris/Viz as consumer. Our third example studies different strategies to perform an asynchronous checkpoint with Gromacs.

Ultrafast Three-Dimensional Integrated Imaging of Strain in Core/Shell Semiconductor/Metal Nanostructures

Visualizing the dynamical response of material heterointerfaces is increasingly important for the design of hybrid materials and structures with tailored properties for use in functional devices. In situ characterization of nanoscale heterointerfaces such as metal-semiconductor interfaces, which exhibit a complex interplay between lattice strain, electric potential, and heat transport at subnanosecond time scales, is particularly challenging. In this work, we use a laser pump/X-ray probe form of Bragg coherent diffraction imaging (BCDI) to visualize in three-dimension the deformation of the core of a model core/shell semiconductor-metal (ZnO/Ni) nanorod following laser heating of the shell. We observe a rich interplay of radial, axial, and shear deformation modes acting at different time scales that are induced by the strain from the Ni shell. We construct experimentally informed models by directly importing the reconstructed crystal from the ultrafast experiment into a thermo-electromechanical continuum model. The model elucidates the origin of the deformation modes observed experimentally. Our integrated imaging approach represents an invaluable tool to probe strain dynamics across mixed interfaces under operando conditions.

Quantitative Observation of Threshold Defect Behavior in Memristive Devices with Operando X-ray Microscopy

Memristive devices are an emerging technology that enables both rich interdisciplinary science and novel device functionalities, such as nonvolatile memories and nanoionics-based synaptic electronics. Recent work has shown that the reproducibility and variability of the devices depend sensitively on the defect structures created during electroforming as well as their continued evolution under dynamic electric fields. However, a fundamental principle guiding the material design of defect structures is still lacking due to the difficulty in understanding dynamic defect behavior under different resistance states. Here, we unravel the existence of threshold behavior by studying model, single-crystal devices: resistive switching requires that the pristine oxygen vacancy concentration reside near a critical value. Theoretical calculations show that the threshold oxygen vacancy concentration lies at the boundary for both electronic and atomic phase transitions. Through operando, multimodal X-ray imaging, we show that field tuning of the local oxygen vacancy concentration below or above the threshold value is responsible for switching between different electrical states. These results provide a general strategy for designing functional defect structures around threshold concentrations to create dynamic, field-controlled phases for memristive devices.