Catalytic and Electrocatalytic Pathways in Fuel Cells

A fundamental understanding of the kinetics and mechanisms of the catalytic reaction steps involved in the process of converting a fuel into hydrogen rich stream suitable for a fuel cell, as well as the electro-catalytic reactions within a fuel cell, is not only conceptually appealing, but could provide a sound basis for the design and development of efficient fuel processor/fuel cell systems. With the quantum chemical calculations on kinetics of elementary catalytic reaction steps becoming rather commonplace, and with increasing information now available in terms of electronic structures, vibration spectra, and kinetic data (activation energy and pre-exponential factors), the stage is set for development of a comprehensive approach. Toward this end, we have developed a framework that can utilize this basic information to develop a comprehensive understanding of catalytic and electrocatalytic reaction networks. The approach is based on the development of Reaction Route (RR) Graphs, which not only represent the reaction pathways pictorially, but are quantitative networks consistent with the Kirchhoff\u27s laws of flow networks, allowing a detailed quantitative analysis by exploiting the analogy with electrical circuits. The result is an unambiguous portrayal of the reaction scheme that lays bare the dominant pathways. Further, the rate-limiting steps are identified rationally with ease, based on comparison of step resistances, as are the dominant pathways via flux analysis. In fact, explicit steady-state overall reaction (OR) rate expression can also be derived in an Ohm\u27s law form, i.e. OR rate = OR motive force/OR resistance of an equivalent electric circuit, which derives directly from the RR graph of its mechanism. This approach is utilized for a detailed analysis of the catalytic and electro-catalytic reaction systems involved in reformer/fuel cell systems. The catalytic reaction systems considered include methanol decomposition, water gas shift, ammonia decomposition, and methane steam reforming, which have been studied mechanistically and kinetically. A detailed analysis of the electro-catalytic reactions in connection to the anode and cathode of fuel cells, i.e. hydrogen electrode reaction and the oxygen reduction reaction, has also been accomplished. These reaction systems have not so far been investigated at this level of detail. The basic underlying principles of the RR graphs and the topological analysis for these reaction systems are discussed

Kinetics and Catalysis of the Water-Gas-Shift Reaction: A Microkinetic and Graph Theoretic Approach

The search for environmentally benign energy sources is becoming increasingly urgent. One such technology is fuel cells, e.g., the polymer electrolyte membrane (PEM) fuel cell which uses hydrogen as a fuel and emits only H2O. However, reforming hydrocarbon fuels to produce the needed hydrogen yields reformate streams containing CO2 as well as CO, which is toxic to the PEM fuel cell at concentrations above 100ppm. As the amount of CO permitted to reach the fuel cell increases, the performance of the PEM fuel cell decreases until it ultimately stops functioning. The water-gas-shift (WGS) reaction, CO + H2O \u3c-\u3e H2 + CO2, provides a method for extracting the energy from the toxic CO by converting it into usable H2 along with CO2 which can be tolerated by the fuel cell. Although a well established industrial process, alternate catalysts are sought for fuel cell application. Catalyst selection for the WGS reaction has, until recently, been based on trial-and-error screening of potential catalysts due to a lack of fundamental understanding of the catalyst\u27s functioning. For this reason, we embarked on a deeper understanding of the molecular events involved in the WGS reaction such that a more systematic and theory-guided approach may be used to design and select catalysts more efficiently, i.e., rational catalyst design. The goal of this research was to develop a comprehensive predictive microkinetic model for the WGS reaction which is based solely on a detailed mechanism as well as theories of surface-molecule interactions (i.e., the transition-state theory) with energetic parameters determined a priori. This was followed by a comparison of the experimental results of sample catalysts to validate the model for various metal-based catalysts of interest including Cu, Fe, Ni, Pd, Pt, Rh, and Ru. A comprehensive mechanism of the plausible elementary reaction steps was compiled from existing mechanisms in the literature. These were supplemented with other likely candidates which are derivatives of those identified in the literature. Using established theories, we predicted the kinetics of each of the elementary reaction steps on metal catalysts of interest. The Unity Bond Index-Quadratic Exponential Potential Method (UBI-QEP) was used to predict the activation energies in both the forward and reverse direction of each step based solely on heats of chemisorption and bond dissociation energies of the species involved. The Transition State Theory (TST) was used to predict the pre-exponential factors for each step assuming an immobile transition state; however, the pre-exponential factors were adjusted slightly to ensure thermodynamic consistency with the overall WGS reaction. In addition, we have developed a new and powerful theoretical tool to gain further insight into the dominant pathways on a catalytic surface as reactants become products. Reaction Route (RR) Graph Theory incorporates fundamental elements of graph theory and electrical network theory to graphically depict and analyze reaction mechanisms. The stoichiometry of a mechanism determines the connectivity of the elementary reaction steps. Each elementary reaction step is viewed as a single branch with an assumed direction corresponding to the assumed forward direction of the elementary reaction step. The steps become interconnected via nodes which reflect the quasi-steady state conditions of the species represented by the node. A complete RR graph intertwines a series of routes by which the reactants may be converted to products. Once constructed, the RR graph may be converted into an electrical network by replacing, in the steady-state case, each elementary reaction step branch with a resistor and including the overall reaction as a power source where rate and affinity correspond to current and voltage, respectively. A simplification and reduction of the mechanism may be performed based on results from a rigorous De Donder affinity analysis as it correlates to Kirchhoff\u27s Voltage Law (KVL), akin to thermodynamic consistency, coupled with quasi-steady state conditions, i.e., conservation of mass, analyzed using Kirchhoff\u27s Current Law (KCL). Hence, given the elementary reaction step resistances, in conjunction with Kirchhoff\u27s Laws, a systematic reduction of the network identifies the dominant routes, e.g., the routes with the lowest resistance, along with slow and quasi-equilibrium elementary reaction steps, yielding a simplified mechanism from which a predictive rate expression may possibly be derived. Here, we have applied RR Graph Theory to the WGS reaction. An 18-step mechanism was employed to understand and predict the kinetics of the WGS reaction. From the stoichiometric matrix for this mechanism, the topological features necessary to assemble the RR graph, namely the intermediate nodes, terminal nodes, empty reaction routes and full reaction routes, were enumerated and the graph constructed. The assembly of the RR graph provides a comprehensive overview of the mechanism. After reduction of the network, the simplified mechanism, comprising the dominant pathways, identified the quasi-equilibrium and rate-determining steps, which were used to determine the simplified rate expression which predicts the rate of the complete mechanism for different catalysts. Experimental investigations were conducted on the catalysts of interest to validate the microkinetic model derived. Comparison of the experimental results from the industrially employed catalysts (e.g., Cu, Ni, Fe, etc.) shows that the simplified microkinetic model sufficiently predicts the behavior of the WGS reaction for this series of catalysts with very good agreement. Other catalysis tested (Pt, Pd, Rh and Ru), however, had sufficient methanation activity that a direct comparison with WGS kinetics could not be made. In summary, we have developed a comprehensive approach to unravel the mechanism and kinetics of a catalytic reaction. The methodology described provides a more fundamental depiction of events on the surface of a catalyst paving the way for rational analysis and catalyst design. Illustrated here with the WGS reaction as an example, we show that the dominant RRs may be systematically determined through the application of rigorous fundamental constraints (e.g. thermodynamic consistency and mass conservation) yielding a corresponding explicit a priori rate expression which illustrates very good agreement not only with the complete microkinetic mechanism, but also the experimental data. Overall, RR graph theory is a powerful new tool that may become invaluable for unraveling the mechanism and kinetics of complex catalytic reactions via a common-sense approach based on fundamentals

Microkinetic Modeling of Complex Reaction Networks Using Automated Network Generation

University of Minnesota Ph.D. dissertation. April 2018. Major: Chemical Engineering. Advisors: Prodromos Daoutidis, Aditya Bhan. 1 computer file (PDF); xiv, 193 pages.Complex reaction networks are found in a variety of engineered and natural chemical systems ranging from petroleum processing to atmospheric chemistry and including biomass conversion, materials synthesis, metabolism, and biological degradation of chemicals. These systems comprise of several thousands of reactions and species interrelated through a highly interconnected network. These complex reaction networks can be constructed automatically from a small set of initial reactants and chemical transformation rules. Detailed kinetic modeling of these complex reaction systems is becoming increasingly important in the development, analysis, design, and control of chemical reaction processes. The key challenges faced in the development of a kinetic model for complex reaction systems include (1) multi-time scale behavior due to the presence of fast and slow reactions which introduces stiffness in the system, (2) lack of lumping schemes that scale well with the large size of the network, and (3) unavailability of accurate reaction rate constants (activation energies and pre-exponential factors). Model simplication and order reduction methods involving lumping, sensitivity analysis and time-scale analysis address the challenges of size and stiffness of the system. Although there exist numerical methods for simulation of large-scale, stiff models, the use of such models in optimization-based tasks (e.g. parameter estimation, control) results in ill-conditioning of the corresponding optimization task. This research presents methods, computational tools, and applications to address the two challenges that emerge in the development of microkinetic models of complex reaction networks in the context of chemical and biochemical conversion - (a) identifying the different time scales within the reaction system irrespective of the chemistry, and (b) identifying lumping and parameterization schemes to address the computational challenge of parameter estimation. The first question arises due to the presence of both fast and slow reactions simultaneously within the system. The second challenge is directly related to the estimation of the reaction rate constants that are unknown for these chemical reaction networks. Addressing these questions is a key step towards modeling, design, operation, and control of reactors involving complex systems. In this context, this thesis presents methods to address the computational challenges in developing microkinetic models for complex reaction networks. Rule Input Network Generator (RING), a network generation computational tool, is used for the network generation and analysis. First, the stiffness is addressed with the implementation of a graph-theoretic framework. Second, lumping and parameterization schemes are studied to address the size challenge of these reaction networks. A particular lumping and parameterization scheme is used to develop the microkinetic model for an olefin interconversion reaction system. Further, RING is extended for application of biochemical reaction network generation and analysis

Partial oxidation of ethanol over vanadium iron antimonate catalysts

Bibliography: p. 151-161.VSbO₄ and FeSbO₄ are proven catalysts for the amm(oxidation) of propane/propylene. These catalysts systems have been shown to possess over-oxidation limiting characteristics. Ethanol oxidation is carried out in two-staged processes industrially, mainly because of the challenges presented by over-oxidation of the intermediates to carbon oxides

The hydrogenation of nitrobenzene over metal catalysts

The catalytic hydrogenation of nitrobenzene is an industrially important reaction used in the commercial production of aniline for use in the polyurethane industry. A mechanism for the reaction was first proposed by Haber in 1898 and has been widely accepted despite never being fully delineated. During this study the nitrobenzene hydrogenation reaction was investigated, over a range of metal catalysts, to probe the mechanism of hydrogenation and catalyst deactivation. Initial investigations over Pd/C catalysts revealed the reaction to be sensitive to the solvent and the nature of the carbon support. However more importantly it was shown that the first intermediate in Haber’s scheme, nitrosobenzene, could not act as an intermediate to nitrobenzene hydrogenation. As a result, a new reaction mechanism was proposed where the hydrogenation of nitrobenzene and nitrosobenzene proceed via separate mechanistic routes, linked by a common adsorbed intermediate; the surface concentration of this adsorbed species controls the hydrogenation pathway followed. Further investigation over Raney nickel suggests this mechanism to be valid over other metals and not specific to palladium. A series of novel bimetallic catalysts were also prepared for use in this study. Characterisation of these catalysts was carried out to determine the nature of the metal-metal interaction on the surface. the evidence suggests mixed metal particles may have been formed on some catalysts. The activity of these catalysts was found to be greatly enhanced following pre-treatment with water vapour in a hydrogen atmosphere. It was postulated that partial oxidation of the metal active sites was occurring and that these systems were more active due to the enhanced adsorption of nitrobenzene. The copper nickel/systems were found to show enhanced catalytic activity, whereas all systems containing cobalt displayed irreversible deactivation following water treatment, which was attributed to the formation of irreducible cobalt aluminium spinel from the CoO formed on the surface

Topological analysis of hydrogen oxidation reaction kinetics at Ni/YSZ anode of the solid oxide fuel cell

The understanding of the mechanisms and kinetics of reactions that occur on the electrodes hold the key to further advances in solid oxide fuel cell (SOFC) technology. The typical material widely used as anode in SOFC is Nickel/Yttria-stabilised Zirconia (Ni/YSZ). The kinetics of the hydrogen oxidation reaction mechanism at Ni/YSZ anode of the SOFC is investigated in this work using the reaction route (RR) graph method, which is a relatively new graphical method for the analysis of reaction kinetics based on the electrical analogy.A mechanism for the hydrogen oxidation reaction consisting of the most promising elementary steps is chosen for the analysis. The RR graph for this mechanism is constructed using the standard procedures. The graph is reduced by exploiting its analogy with electrical resistive circuits. Making use of this reduced graph, an analytical expression for the overall reaction rate is derived for the first time. This rate expression was found to approximate the overall rate obtained using the conventional quasi steady state (QSS) methodology satisfactorily. The reaction pathway containing the two hydrogen spill-over reactions is identified as the dominant pathway in the mechanism. Further analysis reveals that the hydrogen spill-over to oxide ion is the slowest reaction step with highest step resistance and governs the rate of the over-all reaction

Chemical production complex optimization, pollution reduction and sustainable development

The objective of this research is to propose, develop and demonstrate chemical production complex optimization to determine the optimal configuration of chemical plants in a superstructure of possible plants. The Chemical Complex Analysis System is a new methodology that has been developed to determine the best configuration of plants in a chemical production complex based on the AIChE Total Cost Assessment (TCA) for economic, energy, environmental and sustainable costs. All new, energy-efficient, and environmentally acceptable plants using greenhouse gases that can produce potentially commercial products designed with HYSYS were integrated into the chemical complex using the System. The optimum configuration of plants was determined based on the triple bottom line that includes sales, economic, environmental and sustainable costs using the System. From eighteen new processes in the superstructure, the optimum structure had seven potentially new processes including acetic acid, graphite, formic acid, methylamines, propylene and synthesis gas production. With the additional plants in the optimal structure the triple bottom line increased from $343 to$506 million per year and energy increased from 2,150 to 5,791 TJ/year. Multicriteria optimization has been used with Monte Carlo simulation to determine the sensitivity of the optimal structure of a chemical production complex to prices, costs, and sustainable credits/cost. In essence, for each Pareto optimal solution, there is a cumulative probability distribution function that is the probability as a function of the triple bottom line. This information provides a quantitative assessment of the optimum profit versus sustainable credits/cost, and the risk (probability) that the triple bottom line will meet expectations. The capabilities of the System have been demonstrated, and this methodology could be applied to other chemical production complexes in the world for reduced emissions and energy savings. With this System, engineers will have a new capability to consider projects in depths significantly beyond current capabilities. They will be able to convert their company’s goals and capital into viable projects that meet economic, environmental and sustainable requirements

Emerging electrocatalytic strategies for small molecule electrosynthesis

À la lumière du changement climatique et de l'épuisement des réserves de combustibles fossiles, l'innovation dans les technologies énergétiques vertes et durables devient un défi crucial. La fabrication de produits chimiques consomme de grandes quantités d'énergie et est responsable d'une part importante des émissions mondiales de carbone. Dans ce contexte, l'électrosynthèse, alimentée par de l'électricité renouvelable, peut remplacer de nombreux procédés thermochimiques industriels pour générer des carburants, des produits chimiques et des engrais. Plutôt que de nous concentrer sur des domaines qui ont reçu beaucoup d'attention ces dernières années (par exemple, l'électrolyse de l'eau et la réduction du CO2), nous avons exploré les domaines émergents de l'électrosynthèse hétérogène pour lesquels il existe un besoin substantiel. Dans le chapitre 3, nous soulignons l'importance de concevoir des électrocatalyseurs avec des sites actifs bien définis. Nous rapportons l'utilisation de la chimie réticulaire pour concevoir un système de modèle électrocatalytique à base d'organo-métallique conducteur avec des sites actifs moléculaires M-O4 pour l'oxydation électrochimique du 5-hydroxyméthylfurfural (HMFOR). L'activité des MOF portant des sites actifs Ni-O4 (Ni-CAT) et Co-O4 (Co-CAT) a été analysée avec des techniques spectroscopiques électrochimiques et operando pour élucider le mécanisme de réaction se produisant à la surface. Les expériences électrochimiques révèlent que le Co-CAT a un potentiel d'apparition plus précoce pour activer le HMFOR, par rapport à la plupart des catalyseurs établis, tandis que le Ni-CAT présente une cinétique plus rapide pour la conversion du 5-hydroxyméthylfurfural (HMF) en acide 2,5-furandicarboxylique (FDCA) . Nous avons déterminé que Ni-CAT atteignait des rendements de FDCA (notre molécule cible) de 98,7 %. L'efficacité faradique peut atteindre 86,8% d'efficacité faradique. La spectroscopie infrarouge indique le HMF avec un groupe aldéhyde lié à la surface comme intermédiaire clé dans le cycle catalytique, qui se forme une fois que l'oxydation M (II \ III) se produit. Ce travail illustre l'avantage d'utiliser des sites actifs moléculairement définis couplés à la spectroscopie operando pour fournir des informations fondamentales sur une variété de réactions électrosynthétiques et ouvrir la voie à la conception future de catalyseurs. Suite à ce projet, nous nous sommes tournés vers l'utilisation d'un réacteur à membrane sélective pour l'hydrogène afin d'explorer de nouveaux concepts de réaction et de catalyseurs. La clé ici était d'utiliser une feuille de Pd comme matériau qui réduisait les protons en *H dans un compartiment aqueux et transférait l'hydrogène dans un compartiment organique où il hydrogénait le réactif de choix. À l'aide d'un réacteur à membrane, nous avons pu séparer physiquement la réduction électrochimique de l'hydrogène et la chimie de l'hydrogénation d'une manière qui contournait l'utilisation du gaz H2 qui serait autrement nécessaire. Nous choisissons comme point de départ un produit chimique produit industriellement en excès, l'acétonitrile. Le réacteur à membrane Pd est appliqué pour hydrogéner complètement la liaison C≡N de l'acétonitrile. Avec succès, nous avons obtenu de l'ammoniac et de l'acétaldéhyde comme produits de réaction à un potentiel de début record de 0,4 V vs Ag/AgCl. Enfin, en concevant soigneusement une cellule spectroélectrochimique unique, nous avons pu effectuer des mesures spectroscopiques infrarouges pour visualiser le processus de réaction dans la membrane Pd et par conséquent proposé un mécanisme unique de réaction d'hydrolyse de l'imine (Chapitre 4). Dans le chapitre 5, nous choisissons d'innover dans un domaine émergent : la formation de liaisons électrochimiques C-N à partir de réactifs de petites molécules (par exemple CO2, NH3). Le mécanisme conventionnel de formation de liaisons électrochimiques C-N est basé sur le CO2RR électrochimique. Dans ce chapitre, nous proposons une stratégie orthogonale pour activer simultanément le CO2 et les N-réactifs en appliquant respectivement des impulsions de potentiel négatives et positives. Les nanoparticules de Cu sont utilisées comme catalyseur modèle, le CO2 agit comme réactif C et le NH3 agit comme réactif N pour le couplage C-N. Dans des conditions optimisées dans lesquelles la couverture *NH2 est maintenue à l'état stable tandis que Cu reste métallique, l'électrolyse pulsée augmente à la fois le taux de formation et la sélectivité des produits C-N urée, formamide et acétamide de 3 à 20 fois. En étendant le champ d'application à des réactifs C et N supplémentaires, ainsi qu'au couplage C-S, cette nouvelle approche démontre davantage sa valeur générale en électrosynthèse.In light of climate change and depleting fossil fuel reserves, innovating green and sustainable energy technologies becomes a critical challenge. Chemical manufacturing consumes large amounts of energy and is responsible for a substantial portion of global carbon emissions. Against this backdrop, electrosynthesis, powered by renewable electricity, can replace many industrial thermochemical processes to generate fuels, chemicals, and fertilizers. Rather than focusing on areas that have received much attention in recent years (e.g. water electrolysis and CO2 reduction), we explored emerging areas within heterogeneous electrosynthesis for which there is a substantial need. In chapter 3, we highlight the importance of designing electrocatalysts with well defined active sites. We report the use of reticular chemistry to design a conductive metal organic framework-based electrocatalytic model system with molecular M-O4 active sites for electrochemical oxidation of 5-hydroxymethylfurfural (HMFOR). The activity of MOFs bearing Ni-O4 (Ni-CAT) and Co-O4 (Co-CAT) active sites were analyzed with electrochemical and operando spectroscopic techniques to elucidate the reaction mechanism occurring on the surface. Electrochemical experiments reveal that Co-CAT has an earlier onset potential for enabling HMFOR, relative to most established catalysts, while the Ni-CAT shows faster kinetics for the conversion of 5-hydroxymethylfurfural (HMF) to 2,5-furandicarboxylic acid (FDCA). We determined that Ni-CAT achieved FDCA (our target molecule) yields of 98.7% yield. The faradic efficiency can reach out to 86.8% faradic efficiency. Infrared spectroscopy points to HMF with a surface-bound aldehyde group as the key intermediate in the catalytic cycle, which forms once the M(II\III) oxidation occurs. This work illustrates the advantage of utilizing molecularly defined active sites coupled with operando spectroscopy to provide fundamental insights into a variety of electrosynthetic reactions and pave the way for future catalyst design. Following this project, we turned to the use of a hydrogen-selective membrane reactor to explore more new reaction and catalysts concepts. The key here was using a Pd foil as a material that reduced protons to *H at an aqueous compartment and transferred the hydrogen through to an organic compartment where it hydrogenated the reactant of choice. Using a membrane reactor, we could physically separate electrochemical hydrogen reduction and hydrogenation chemistry in a manner that circumvented the use of H2 gas as would otherwise be necessary. We choose a chemical that is industrially produced in excess, acetonitrile, as a starting point. The Pd membrane reactor is applied to fully hydrogenate the C≡N bond of acetonitrile. Successfully, we obtained ammonia and acetaldehyde as reaction products at a record onset potential of 0.4 V vs Ag/AgCl. Finally, by carefully designing a unique spectroelectrochemical cell, we were able to carry out infrared spectroscopic measurements to visualize the reaction process in Pd-membrane and consequently proposed a unique imine-hydrolysis reaction mechanism (Chapter 4). In Chapter 5, we choose to innovate in an emerging area: electrochemical C-N bond formation from small molecule reactants (e.g. CO2, NH3). The conventional electrochemical C-N bond formation mechanism is based on electrochemical CO2RR. In this chapter, we propose an orthogonal strategy to simultaneously activate CO2 and N-reactants by applying negative and positive potential pulses, respectively. Cu nanoparticles are used as a model catalyst, CO2 acts as the C-reactant, and NH3 acts as the N-reactant for C-N coupling. Under optimized conditions in which *NH2 coverage is maintained at steady state while Cu remains metallic, pulsed electrolysis increases both the rate of formation and the selectivity of the C-N products urea, formamide and acetamide by 3-20 times. By extending the scope to additional C- and N-reactants, as well as C-S coupling, this new approach further demonstrates its general value in electrosynthesis

Program and Proceedings: The Nebraska Academy of Sciences 1880-2012

PROGRAM FRIDAY, APRIL 20, 2012 REGISTRATION FOR ACADEMY, Lobby of Lecture wing, Olin Hall Aeronautics and Space Science, Session A, Olin 249 Aeronautics and Space Science, Session B, Olin 224 Collegiate Academy, Biology Session A, Olin B Chemistry and Physics, Section A, Chemistry, Olin A Applied Science and Technology, Olin 325 Biological and Medical Sciences, Session A, Olin 112 Biological and Medical Sciences, Session B, Smith Callen Conference Center Junior Academy, Judges Check-In, Olin 219 Junior Academy, Senior High REGISTRATION, Olin Hall Lobby Chemistry and Physics, Section B, Physics, Planetarium Collegiate Academy, Chemistry and Physics, Session A, Olin 324 Junior Academy, Senior High Competition, Olin 124, Olin 131 Aeronautics and Space Science, Poster Session, Olin 249 NWU Health and Sciences Graduate School Fair, Olin and Smith Curtiss Halls Aeronautics and Space Science, Poster Session, Olin 249 MAIBEN MEMORIAL LECTURE, OLIN B Buffalo Bruce McIntosh, Research Ecologist with Western Nebraska Resources Council, The Status of Nebraska\u27s Native Aspen LUNCH, PATIO ROOM, STORY STUDENT CENTER (pay and carry tray through cafeteria line, or pay at NAS registration desk) Aeronautics Group, Conestoga Room Anthropology, Olin 111 Biological and Medical Sciences, Session C, Olin 112 Biological and Medical Sciences, Session D, Smith Callen Conference Center Chemistry and Physics, Section A, Chemistry, Olin A Chemistry and Physics, Section B, Physics, Planetarium Collegiate Academy, Biology Session A, Olin B Collegiate Academy, Biology Session B, Olin 249 Collegiate Academy, Chemistry and Physics, Session B, Olin 324 Earth Science, Olin 224 History/Philosophy of Science, Olin 325 Junior Academy, Judges Check-In, Olin 219 Junior Academy, Junior High REGISTRATION, Olin Hall Lobby Junior Academy, Senior High Competition, (Final), Olin 110 Teaching of Science and Math, Olin 325 Junior Academy, Junior High Competition, Olin 124, Olin 131 NJAS Board/Teacher Meeting, Olin 219 BUSINESS MEETING, OLIN B AWARDS RECEPTION for NJAS, Scholarships, Members, Spouses, and Guests First United Methodist Church, 2723 N 50th Street, Lincoln, N