A5071593153- Advanced Battery Materials and Technologies
- Advancements in Battery Materials
- Advanced Battery Technologies Research
- Direction-of-Arrival Estimation Techniques
- Structural Health Monitoring Techniques
- Machine Learning in Materials Science
- Fuel Cells and Related Materials
- Extraction and Separation Processes
- Advanced battery technologies research
- Target Tracking and Data Fusion in Sensor Networks
- Ammonia Synthesis and Nitrogen Reduction
- Microbial Metabolites in Food Biotechnology
- Thermal properties of materials
- Molecular Junctions and Nanostructures
- Graphene research and applications
- Conducting polymers and applications
- Advanced Electrical Measurement Techniques
- Microbial Metabolic Engineering and Bioproduction
- Enzyme Catalysis and Immobilization
- Synthesis and properties of polymers
- Advanced Adaptive Filtering Techniques
- Chemical Synthesis and Characterization
- Gaussian Processes and Bayesian Inference
- Supercapacitor Materials and Fabrication
- Nuclear reactor physics and engineering
Washington State University
2020-2025
Beijing University of Chemical Technology
2003
The Ohio State University
1994-2002
Télécom Paris
1993
Advancement of sulfur (S) cathode lithium-sulfur (Li-S) batteries is hindered by issues such as insulating nature sulfur, sluggish redox kinetics, polysulfide dissolution and shuttling. To address these issues, we initiate a study on applying an important amino acid protein, arginine (Arg), functional additive into S cathodes. Based our simulation study, the positively charged Arg facilitates strong interactions with polysulfides. The experimental results indicate that interaction enable...
Fundamentally suppressing Li dendrite growth is known to be critical for realizing the potential high energy density Li-metal batteries (LMBs). Inspired by ionic transport function of proteins, we previously discovered that utilizing natural proteins was able stabilize anode but have not demonstrated how a specific amino acid protein enabled function. In this study, decorate separator with Leucine (Leu) assisted poly(acrylic acid) (PAA) effectively stabilizing anode, so as dramatically...
With plenty of charges and rich functional groups, bovine serum albumin (BSA) protein provides effective transport for multiple metallic ions inside blood vessels. Inspired by the unique ionic function, we develop a BSA coating to stabilize Li anode, regulate Li+ transport, resolve dendrite growth metal batteries (LMBs). The experimental simulation studies demonstrate that has strong interactions with metal, increases wetting electrolyte, reduces electrolyte/Li side reactions, significantly...
Abstract Lithium‐sulfur (Li–S) batteries are hindered by issues such as the polysulfide shuttle effect and Li dendrite formation, which leads to capacity degradation. To address these issues, a bio‐strategy involving functionalization of commercial separator with an amino acid‐polymer system, leucine‐polyacrylic acid (Leu‐PAA), is reported here. A simple soaking method used in preparing Leu‐PAA, effective viable for practical application. The Leu‐PAA soaked exhibits improved wettability...
The development of lithium–sulfur (Li–S) batteries has attracted significant attention, but their applications have been greatly hindered by the large volume change sulfur (S) and shuttle effect soluble lithium polysulfides (LiPSs). Recently, protein-based binder materials introduced on S cathode demonstrated great potential in improving battery performance. Here, we systematically investigate binding mechanisms LiPSs with different protein side chains through both first-principles density...
Abstract Low ionic conductivity is one of the main hurdles for practical application advanced all‐solid‐state lithium‐ion batteries. Protein‐based solid electrolytes are recently proposed and can potentially provide both high mechanical properties due to decoupled ion transport mechanism. In this work, effects lithium salts protein structures on performance protein‐based through ab initio density functional theory calculations experiments systematically investigated. The results show that...
The paper introduces a modified TLS-Prony method that incorporates data decimation. use of decimation results in the reduction computational complexity because one high-order estimation is replaced by several low-order estimations. authors present an analysis pole variance statistics for this method. This provides quantitative comparison parameter accuracy as function factors. show using decimation, can obtain comparable statistical performance at fraction cost, when compared with...
We propose an approximate maximum likelihood parameter estimation algorithm, combined with a model order estimator for superimposed undamped exponentials in noise. The algorithm combines the robustness of Fourier-based estimators and high-resolution capabilities parametric methods. use combination Wald (1945) statistic MAP test selection initialize iterative descent recursively based on estimates at higher candidate orders. Experiments using simulated data synthetic radar demonstrate...
Abstract The abundance and environmental friendliness in nature of sulfur (S) make Li–S batteries more attractive addition to the high theoretical capacity (1675 mAh g −1 ) energy density (2600 Wh kg batteries. In this study, a bio‐based S cathode with graphene (Gr) coating, capable effectively suppressing shuttle effect polysulfides, is enabled via networking soy protein (SP) polydopamine (PDA) form functional bio‐binder (SP‐PDA). Dopamine self‐polymerization SP not only generates...
Decoupling the ion motion and segmental relaxation is significant for developing advanced solid polymer electrolytes with high ionic conductivity mechanical properties. Our previous work proposed a decoupled transport in novel protein-based electrolyte. Herein, we investigate detailed interaction/transport mechanisms through first-principles density functional theory (DFT) calculations vacuum space. Specifically, study important roles of charged amino acids from proteins. results show that...
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The authors present an analysis of parameter variance statistics for the SVD-Prony method applied to damped exponential signals. covariance matrix estimated parameters this is derived. include magnitudes and angles poles, amplitude coefficients. theoretical results are verified using Monte Carlo simulation studies. compared corresponding Cramer-Rao bounds several cases.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>