- Advanced Thermodynamics and Statistical Mechanics
- Fuel Cells and Related Materials
- Process Optimization and Integration
- Advancements in Solid Oxide Fuel Cells
- Thermodynamic and Exergetic Analyses of Power and Cooling Systems
- Electrocatalysts for Energy Conversion
- Integrated Energy Systems Optimization
- Spectroscopy and Quantum Chemical Studies
- Rocket and propulsion systems research
- Quantum Information and Cryptography
- Thermal properties of materials
- Advanced Aircraft Design and Technologies
- Phase Equilibria and Thermodynamics
- Quantum Mechanics and Applications
- Machine Learning in Materials Science
- nanoparticles nucleation surface interactions
- Advanced Battery Technologies Research
- Refrigeration and Air Conditioning Technologies
- Catalysts for Methane Reforming
- Global Energy and Sustainability Research
- Quantum Computing Algorithms and Architecture
- Statistical Mechanics and Entropy
- Advanced Thermoelectric Materials and Devices
- Advanced Control Systems Optimization
- Lattice Boltzmann Simulation Studies
Virginia Tech
2015-2024
Health Affairs
2010
École Polytechnique Fédérale de Lausanne
1989-1997
At the beginning of 21st century, fuel cells appear poised to meet power needs a variety applications. Fuel are electrochemical devices that convert chemical energy electricity and thermal energy. cell systems available applications ranging from portable electronics utility plants. In addition stack itself, system includes processor subsystems manage air, water energy, power. The overall is efficient at full part-load, scaleable wide range sizes, environmentally friendly, potentially...
Quantifying the uncertainty of renewable energy generation units and loads is critical to ensure dynamic security next-generation power systems. To achieve that goal, time-consuming Monte Carlo simulations are usually used, which not suitable for online analysis large-scale circumvent this difficulty, two quantification approaches using polynomial-chaos-based methods proposed investigated. The first approach generalized polynomial chaos method able reduce computing time by three orders...
Abstract This work presents an analysis of the evolution perturbed Bell diagonal {\color{blue}states using equation motion steepest-entropy-ascent quantum thermodynamics (SEAQT), Lindblad equation, and various measures entanglement loss. The states considered are those generated by optics study conducted Liu \emph{et al.}~\cite{liuTimeinvariantEntanglementSudden2016}.} First, a brief derivation is provided, showing that stationary but not stable equilibrium {\color{blue}within SEAQT...
In this paper, the essential building blocks of a new formalism called Engineering Functional Analysis (EFA) are presented. This results in higher degrees decentralization for engineering system optimization than is otherwise possible. By decentralization, it meant that improvement or individual components by themselves (i.e., which isolated economically from rest overall system), serves to improve optimize as whole (within some degree error, defines decentralization). Higher important they...
The steepest-entropy-ascent quantum thermodynamic (SEAQT) framework is used to model the decoherence that occurs during state evolution of two different microscopic composite systems. test cases are a $\text{two}\ensuremath{-}\text{spin}\ensuremath{-}\frac{1}{2}\ensuremath{-}\text{particle}$ system and particle-photon field like experimentally studied in cavity electrodynamics. first study characteristics nonlinear equation motion SEAQT when modeling with particular interest phenomenon...
This paper presents a study of the nonequilibrium relaxation process chemically reactive systems using steepest-entropy-ascent quantum thermodynamics (SEAQT). The trajectory chemical reaction, i.e., accessible intermediate states, is predicted and discussed. prediction made thermodynamic-ensemble approach, which does not require detailed information about particle mechanics involved (e.g., collision particles). Instead, modeling kinetics dynamics based on principle steepest-entropy ascent...
Combined cycle power plants are currently one of the most important options for construction new generating capacity as well replacement and repowering existing units. Due to complexity large number parameters available such plants, finding optimized solutions system synthesis, design, operation is very difficult if not impossible with these traditional methods case parametric tradeoff studies. This especially true when advanced thermodynamic, economic, environmental criteria considered. A...
Abstract The purpose of this paper is to discuss the future adaptive structures leading towards concept a fully morphing aircraft configuration. First, examples are shown illustrate potential system-level mission benefits wing geometry. challenges design integration discussed along with question how address optimisation such system. This leads suggestion that non-traditional methods need be developed. It suggested an integrated approach defining work done and energy used solution. introduced...
Traditional answers to what the 2nd Law is are well known. Some based on microstate of a system wandering rapidly through all accessible phase space, while others idea occupying an initial multitude states due inevitable imperfections measurements that then effectively, in coarse grained manner, grow time (mixing). What has emerged two somewhat less traditional approaches from which it said emerges, namely, theory quantum open systems and typicality. These principal approaches, form basis...
This paper presents a nonequilibrium thermodynamic model for the relaxation of local, isolated system in using principle steepest entropy ascent (SEA), which can be expressed as variational state space. The is able to arrive at Onsager relations such system. Since no assumption local equilibrium made, conjugate fluxes and forces are intrinsic subspaces system's space defined concepts hypoequilibrium intensive properties, describe nonmutual status between shown kinematic feature independent...