Workshop / Seminar

Manipulating Molecular Ion Trains: New Strategies for Targeted Gas-Phase Ion Chemistry

Soft robotic devices show particular promise for medical applications where the ability to perform snake-like manipulations with soft devices could radically improve the safety and effectiveness of endoscopic and intravenous procedures. Where traditional catheter devices for these procedures can only be steered at the tip, there exists a need for more maneuverable devices with a high number of degrees of freedom (DOF) that can be controlled throughout the entire length.

Speaker: Kenta Oka, Ph.D. graduate student from the University of Tokyo  (visiting Prof. Choong-Shik Yoo’s laboratory, Institute for Shock Physics)

Title: Melting in the Fe-FeO system to 204 GPa: Implications for oxygen in Earth’s core

Abstract: Constraining the composition of the Earth’s core is essential for understanding…

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Presenters – Drs. Phil Mixter & Jeff Abbott

he ongoing decarbonization efforts in the United States require a combination of various energy technologies with a low carbon foot print, including nuclear energy. A summary of recent progress in nuclear materials chemistry involved in the synthesis and performance of advanced nuclear fuels, as well as their disposal to increase the safety and efficiency of the nuclear energy sector will be presented. Utilization of wet-chemical, innovative synthesis approaches in combination with a wide range of characterization tools, facilitate a better understanding of the structure-property relationships of advanced nuclear fuel and its waste forms.

Ab initio molecular dynamics simulation technique is a promising tool to study various properties of vibrational spectra, X-ray spectra, free energy, entropy, etc. even at high temperatures. With the harmonic phonon model, all interatomic forces are treated as purely harmonic so that the equilibrium distance between atoms is independent of temperature.

Preventing future disease outbreaks is a holy grail in global health, but the majority of new infections that are emerging in humans originate from wild species that are vastly understudied compared to humans.

Presenting complaints that might be unique to agility dogs such as “popping” weave poles, knocking bars, refusing to do individual obstacles, early take-off syndrome, or other poor performance situations.

Birds have deployable covert feathers that are hypothesized to aid in aerodynamic flow control. Inspired by this biological control solution, we use high-fidelity simulations to explore a simplified configuration in which a flat plate is mounted via a torsional spring on an airfoil. We first characterize what dynamical regimes this system can undergo for various spring and inertia values, explaining some of the underlying fluid-structure interaction mechanism and their implications on performance changes.

Nanostructures (particularly with sizes below 10 nm) are inherently challenging to characterize on the atomic scale, due to broadening which occurs in diffraction-based characterization methods, and the high concentration of surface defects and energy-minimization effects. Characterization challenges compound when investigating nanoscale actinide oxides, such as uranium oxide, due to radioactive sample constraints and rich electronic structure which can potentially stabilize a wide range of crystallographic arrangements.

Join us to discuss a series of interprofessional opioid education sessions created by a WSU Spokane team that have trained 1500+ health professions students on providing collaborative care to a standardized patient/video patient case with chronic pain.

Renewable bio-derived fuels can significantly reduce greenhouse gas emissions, particulate matter, unburned hydrocarbons, and carbon monoxide when used in compression ignition engines. However, their effective utilization depends on thoroughly understanding their combustion properties. We will examine results on the low-temperature oxidation of canola and coconut-derived biodiesel in a motored engine.

To further improve the DS’s reliable and resilient operation, in this Ph.D. work, the aim has been put towards development of an automated tool consisting of multiple modules to precisely investigate any type of data anomalies, followed by root cause finding.

Trucking is the lifeblood of the economy, transporting 70% of the goods across the country to your front door. It is also an industry experiencing dramatic technological change, on a scale not seen since the invention of the automobile itself.

Given the ten-fold difference in resting heart rates and twitch kinetics between small and large mammals, it is likely that the cooperative phenotype is a species-dependent property of mammalian myocardium instances. Such a mechanism suggests a molecular basis for beat-to-beat synchronization of ventricular contractility and circulatory demand.

Structural chemistry has played an important role in our understanding of the chemical and physical behavior of the heavy elements. Yet our understanding of the chemistry, bonding, and reactivity of actinide complexes and clusters still lags behind that of the rest of the Periodic Table. This lack of structural and chemical information has led to large discrepancies in thermodynamic data, significant challenges in process chemistry, and the unexpected mobility of heavy elements in the environment.

New cyber technologies are providing profound opportunities for network-wide autonomy in critical infrastructures, but also introducing new complexities in infrastructure operations. At its essence, achieving network-wide autonomy requires coordinating sensing and control resources across a dynamical network to achieve resilient operations in the face of disruptions.

This dissertation considers various machine-learning-based signal processing architectures for equalization and detection of two- and three-dimensional magnetic recording signals for hard disk drives (HDDs). Recording in multiple dimensions on magnetic hard drives has been a challenge in the HDD industry. The objective of reading approaches for magnetic recording is to detect the highest density of information possible with an acceptable error rate.

Title: Digital Tandem Mass Filters for Native Spray Analysis of Proteins and Protein Complexes

Abstract: Proteins and their complexes are an extremely important class of macromolecules that are involved in almost all functional roles needed to sustain life.1,2 Be it as digestive enzymes helping to facilitate chemical reactions,…