• Predicting ion mobility as a function of the electric field for small ions in light gases 

  Gandhi, Viraj D.; Larriba-Andaluz, Carlos (Elsevier, 2021-11)

  High resolution mobility devices such as Field Asymmetric Waveform Ion Mobility Spectrometry (FAIMS) and Differential Mobility spectrometers (DMS) use strong electric fields to gas concentration ratios, E/N, to separate ...
• Learning-based CO2 concentration prediction: Application to indoor air quality control using demand-controlled ventilation 

  Taheri, Saman; Razban, Ali (Elsevier, 2021-11)

  There have been increasing concerns over the air quality inside buildings as high levels of bio-effluents can cause nausea, dizziness, headaches, and fatigue to the people working in those spaces. First published in 2004 ...
• Anisotropic Properties of Articular Cartilage in an Accelerated In Vitro Wear Test 

  Hossain, M. Jayed; Noori-Dokht, Hessam; Karnik, Sonali; Alyafei, Naomi; Joukar, Amin; Trippel, Stephen B.; Wagner, Diane R. (Elsevier, 2020-09)

  Many material properties of articular cartilage are anisotropic, particularly in the superficial zone where collagen fibers have a preferential direction. However, the anisotropy of cartilage wear had not been previously ...
• Ion Mobility Mass Spectrometry Uncovers Guest‐Induced Distortions in a Supramolecular Organometallic Metallosquare 

  Vicent, Cristian; Martinez-Agramunt, Victor; Gandhi, Viraj; Larriba‐Andaluz, Carlos; Gusev, Dmitry G.; Peris, Eduardo (Wiley, 2021-07-05)

  The encapsulation of the tetracationic palladium metallosquare with four pyrene-bis-imidazolylidene ligands [1]4+ with a series of organic molecules was studied by Electrospray ionization Travelling Wave Ion-Mobility Mass ...
• Flexural modes coupling in cantilever-type piezoelectric energy harvesters 

  Pasharavesh, Abdolreza; Dalir, Hamid (Elsevier, 2021-11)

  The ability to harness the waste mechanical energy and convert it into useful electrical power has made kinetic energy harvesters a promising candidate to provide an everlasting energy source for wireless autonomous devices. ...
• High-temperature stability and phase transformations of titanium carbide (Ti3C2Tx) MXene 

  Wyatt, Brian C.; Nemani, Srinivasa Kartik; Desai, Krishay; Kaur, Harpreet; Zhang, Bowen; Anasori, Babak (IOP, 2021-06)

  Two-dimensional (2D) transition metal carbides, nitrides, and carbonitrides, known as MXenes, are under increasing pressure to meet technological demands in high-temperature applications, as MXenes can be considered to be ...
• Synthesis of V2O5/Single-Walled Carbon Nanotubes Integrated into Nanostructured Composites as Cathode Materials in High Performance Lithium-Ion Batteries 

  Aliahmad, Nojan; Biswas, Pias Kumar; Dalir, Hamid; Agarwal, Mangilal (MDPI, 2022)

  Vanadium pentoxide (V2O5)-anchored single-walled carbon nanotube (SWCNT) composites have been developed through a simple sol–gel process, followed by hydrothermal treatment. The resulting material is suitable for use in ...
• Effects of Ink Formulation on Construction of Catalyst Layers for High-Performance Polymer Electrolyte Membrane Fuel Cells 

  Gong, Qing; Li, Chenzhao; Liu, Yadong; Ilavsky, Jan; Guo, Fei; Cheng, Xuan; Xie, Jian (ACS, 2021-07)

  Rational design of catalyst layers in a membrane electrode assembly (MEA) is crucial for achieving high-performance polymer electrolyte membrane fuel cells. Establishing a clear understanding of the property (catalyst ...
• Design, Modeling, and Fabrication of a Ventilator Prototype - A Successful Student Project Story 

  Yeong, Haoyee; Iloeje, Francis; Kindomba, Eli; Folorunso, Sunday; Li, Yafeng; Zhang, Jing (ASME, 2021-11)

  Abstract In this work, we use a group project approach for a group of undergraduate students to design and develop a mechanical ventilator, in response to the COVID-19 pandemic. A student group project composed of a ...
• Atomic Structure Evolution of Pt–Co Binary Catalysts: Single Metal Sites versus Intermetallic Nanocrystals 

  Li, Xing; He, Yanghua; Cheng, Shaobo; Li, Boyang; Zeng, Yachao; Xie, Zhenhua; Meng, Qingping; Qingping, Lu; Kisslinger, Kim; Tong, Xiao; Hwang, Sooyeon; Yao, Siyu; Li, Chenzhao; Qiao, Zhi; Shan, Chongxin; Zhu, Yimei; Xie, Jian; Wang, Guofeng; Wu, Gang; Su, Dong (Wiley, 2021-12)

  Due to their exceptional catalytic properties for the oxygen reduction reaction (ORR) and other crucial electrochemical reactions, PtCo intermetallic nanoparticle (NP) and single atomic (SA) Pt metal site catalysts have ...
• Phase-field-lattice Boltzmann method for dendritic growth with melt flow and thermosolutal convection–diffusion 

  Wang, Nanqiao; Korba, David; Liu, Zixiang; Prabhu, Raj; Priddy, Matthew; Yang, Shengfeng; Chen, Lei; Li, Like (Elsevier, 2021-11)

  We propose a new phase-field model formulated within the system of lattice Boltzmann (LB) equation for simulating solidification and dendritic growth with fully coupled melt flow and thermosolutal convection–diffusion. ...
• High-Entropy 2D Carbide MXenes: TiVNbMoC3 and TiVCrMoC3 

  Nemani, Srinivasa Kartik; Zhang, Bowen; Wyatt, Brian C.; Hood, Zachary D.; Manna, Sukrita; Khaledialidusti, Rasoul; Hong, Weichen; Sternberg, Michael G.; Sankaranarayanan, Subramanian K. R. S.; Anasori, Babak (ACS, 2021-06)

  Two-dimensional (2D) transition metal carbides and nitrides, known as MXenes, are a fast-growing family of 2D materials. MXenes 2D flakes have n + 1 (n = 1–4) atomic layers of transition metals interleaved by carbon/nitrogen ...
• High-Dimensional Reliability Method Accounting for Important and Unimportant Input Variables 

  Yin, Jianhua; Du, Xiaoping (ASME, 2022-04)

  Reliability analysis is a core element in engineering design and can be performed with physical models (limit-state functions). Reliability analysis becomes computationally expensive when the dimensionality of input random ...
• Uncertainty Quantification by Convolutional Neural Network Gaussian Process Regression with Image and Numerical Data 

  Yin, Jianhua; Du, Xiaoping (AIAA, 2022-01)

  Uncertainty Quantification (UQ) plays a critical role in engineering analysis and design. Regression is commonly employed to construct surrogate models to replace expensive simulation models for UQ. Classical regression ...
• Active learning with generalized sliced inverse regression for high-dimensional reliability analysis 

  Yin, Jianhua; Du, Xiaoping (Elsevier, 2022-01)

  It is computationally expensive to predict reliability using physical models at the design stage if many random input variables exist. This work introduces a dimension reduction technique based on generalized sliced inverse ...
• Atomically dispersed single iron sites for promoting Pt and Pt3Co fuel cell catalysts: performance and durability improvements 

  Qiao, Zhi; Wang, Chenyu; Li, Chenzhao; Zeng, Yachao; Hwang, Sooyeon; Li, Boyang; Karakalos, Stavros; Park, Jaehyung; Kropf, A. Jeremy; Wegener, Evan C.; Gong, Qing; Xu, Hui; Wang, Guofeng; Myers, Deborah J.; Xie, Jian; Spendelow, Jacob S.; Wu, Gang (RSC, 2021-09)

  Significantly reducing platinum group metal (PGM) loading while improving catalytic performance and durability is critical to accelerating proton-exchange membrane fuel cells (PEMFCs) for transportation. Here we report an ...
• Low-temperature annealing of 2D Ti3C2Tx MXene films using electron wind force in ambient conditions 

  Rasel, Md. Abu Jafar; Wyatt, Brian; Wetherington, Maxwell; Anasori, Babak; Haque, Aman (Springer, 2021-09)

  Two-dimensional transition metal carbides and nitrides, known as MXenes, are layered materials with unique functionalities which make them suitable for applications such as energy storage devices, supercapacitors, ...
• Probabilistic Feasibility Design of a Laser Powder Bed Fusion Process Using Integrated First-Order Reliability and Monte Carlo Methods 

  Meng, Lingbin; Du, Xiaoping; McWilliams, Brandon; Zhang, Jing (ASME, 2021-09)

  Quality inconsistency due to uncertainty hinders the extensive applications of a laser powder bed fusion (L-PBF) additive manufacturing process. To address this issue, this study proposes a new and efficient probabilistic ...
• Gaussian Process Regression and Monte Carlo Simulation to Determine VOC Biomarker Concentrations Via Chemiresistive Gas Nanosensors 

  Rivera, Paula Angarita; Woollam, Mark; Siegel, Amanda P.; Agarwal, Mangilal (IEEE Xplore, 2021-06)

  Utilizing chemiresistive gas sensors for volatile organic compound (VOC) detection has been a growing area of investigation in the last decade. VOCs have been extensively studied as potential biomarkers for biomedical ...
• A Bayesian Approach to Recovering Missing Component Dependence for System Reliability Prediction via Synergy Between Physics and Data 

  Li, Huiru; Du, Xiaoping (ASME, 2021-11)

  Predicting system reliability is often a core task in systems design. System reliability depends on component reliability and dependence of components. Component reliability can be predicted with a physics-based approach ...

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