T
Ting Luo
Researcher at California State University, Fullerton
Publications - 16
Citations - 868
Ting Luo is an academic researcher from California State University, Fullerton. The author has contributed to research in topics: Hydroxide & Membrane. The author has an hindex of 7, co-authored 13 publications receiving 811 citations. Previous affiliations of Ting Luo include University of Texas at Dallas & University of California, Riverside.
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Journal ArticleDOI
A Soluble and Highly Conductive Ionomer for High‐Performance Hydroxide Exchange Membrane Fuel Cells
TL;DR: By switching from an acidic medium to a basic one, hydroxide (OH ) exchange membrane fuel cells (HEMFCs) have the potential to solve the problems of catalyst cost and durability while achieving high power and energy density.
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Quaternary phosphonium-based polymers as hydroxide exchange membranes.
TL;DR: This study prepares the first functional QPOH HEMs, with the highest OH conductivity reported: TPQPOH152 with a degree of chloromethylation (DC) of 152 %, and provides evidence that HEMFCs have the potential to achieve cell performances that rival those of state-of-the-art Nafion-based PemFCs.
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Highly selective zeolite membranes as explosive preconcentrators.
TL;DR: A hollow fiber array based preconcentrator may open a new venue for the detection of subppb or lower level of explosives simply in conjunction with conventional explosives detectors.
Posted Content
Dynamic Supply Risk Management with Signal-Based Forecast, Multi-Sourcing, and Discretionary Selling
TL;DR: In this paper, a hierarchical Markov model was developed to capture the essential features of advance supply signals and integrate them with procurement and selling decisions to predict future supply risk and enhance the marginal value of current inventory.
Journal ArticleDOI
Dynamic Supply Risk Management with Signal-Based Forecast, Multi-Sourcing, and Discretionary Selling
TL;DR: In this article, a hierarchical Markov model was developed to capture the essential features of advance supply signals, and integrated with procurement and selling decisions to evaluate the impact of these signals in dynamic supply risk management.