A5029042865- Infection Control and Ventilation
- Machine Learning in Materials Science
- Building Energy and Comfort Optimization
- Electron and X-Ray Spectroscopy Techniques
- Liquid Crystal Research Advancements
- COVID-19 epidemiological studies
- Noise Effects and Management
- Advanced Electron Microscopy Techniques and Applications
- Non-Destructive Testing Techniques
- Photoreceptor and optogenetics research
- Electrocatalysts for Energy Conversion
- Composite Material Mechanics
- X-ray Diffraction in Crystallography
- Ultrasonics and Acoustic Wave Propagation
- Perovskite Materials and Applications
- Conducting polymers and applications
- Physics of Superconductivity and Magnetism
- Radiomics and Machine Learning in Medical Imaging
- Organic Electronics and Photovoltaics
- Magnetic properties of thin films
- Fractal and DNA sequence analysis
- Material Properties and Applications
- Coagulation and Flocculation Studies
- Climate Change and Health Impacts
- Molecular spectroscopy and chirality
Massachusetts Institute of Technology
2021-2025
University of Chicago
2020-2021
The University of Texas at Austin
2020
Abstract A new guideline for mitigating indoor airborne transmission of COVID-19 prescribes a limit on the time spent in shared space with an infected individual (Bazant & Bush, Proceedings National Academy Sciences United States America , vol. 118, issue 17, 2021, e2018995118). Here, we rephrase this safety terms occupancy and mean exhaled carbon dioxide ( ${\rm CO}_{2}$ ) concentration space, thereby enabling use monitors risk assessment respiratory diseases. While is related to...
Abstract Reaction rates at spatially heterogeneous, unstable interfaces are notoriously difficult to quantify, yet essential in engineering many chemical systems, such as batteries 1 and electrocatalysts 2 . Experimental characterizations of materials by operando microscopy produce rich image datasets 3–6 , but data-driven methods learn physics from these images still lacking because the complex coupling reaction kinetics, surface chemistry phase separation 7 Here we show that heterogeneous...
The optoelectronic properties of conjugated polymers are dictated by the interplay multiscale structural features, including intrachain dihedrals, interchain π–π stacking, and complex mesoscale morphology. While much is known about structures with isotropically interacting monomers, little strongly anisotropic backbone a class materials to which belong. Fundamental understanding further complicated when semiflexible molecularly heterogeneous nature taken into account. We present an...
New methods of operando non-destructive evaluation (NDE) are needed to better assess the health and safety Li-ion batteries. Monitoring acoustic emissions (AEs) is a popular NDE method in structural engineering, but has not yet provided reliable assessments when applied Here, we show that various electro-chemo-mechanical processes battery electrodes (graphite nickel-manganese-cobalt oxides, NMC) can be reproducibly identified by electrochemically resolved AEs, after eliminating...
<title>Abstract</title> Optimal microstructure design of battery materials is critical to enhance the performance batteries for tailored applications such as high power cells. Accurate simulation thermodynamics, transport, and electrochemical reaction kinetics in commonly used polycrystalline remains a challenge. Here, we combine state-of-the-art multiphase field modelling with smoothed boundary method accurately simulate complex microstructures multi-phase physics. The phase-field employed...
Machine learning (ML) is gaining popularity as a tool for materials scientists to accelerate computation, automate data analysis, and predict properties. The representation of input material features critical the accuracy, interpretability, generalizability data-driven models scientific research. In this Perspective, we discuss few central challenges faced by ML practitioners in developing meaningful representations, including handling complexity real-world industry-relevant materials,...
Liquid crystals are important components of optical technologies. Cuboidal consisting chiral liquid crystals-the so-called blue phases (BPs), particular interest due to their crystalline structures and fast response times, but it is critical that control be gained over phase behavior as well the underlying dislocations grain boundaries arise in such systems. Blue exhibit cubic symmetries with lattice parameters 100 nm range a network disclination lines can polymerized widen temperatures...
Abstract A new guideline for mitigating indoor airborne transmission of COVID-19 prescribes a limit on the time spent in shared space with an infected individual (Bazant and Bush, 2021). Here, we rephrase this safety terms occupancy mean exhaled carbon dioxide concentration space, thereby enabling use CO 2 monitors risk assessment respiratory diseases. While is related to pathogen (Rudnick Milton, 2003), developed here accounts different physical processes affecting their evolution, such as...
Spin–orbit torque that originates from spin Hall effect and Dzyaloshinskii–Moriya interaction (DMI) can efficiently move chiral magnetic domain walls in perpendicularly magnetized wires. It has been shown antiferromagnetically coupled composite across a ruthenium layer be driven even faster by exchange coupling is proportional to strength. Here, we report current-driven motion of synthetic antiferromagnets with rhodium spacer layer. found the wire do not as fast although Co|Rh|Co stronger...
Abstract Reaction rates at spatially heterogeneous, unstable interfaces are notoriously difficult to quantify, yet essential in engineering many chemical systems, such as batteries [1] and electro-catalysts [2]. Experimental characterizations of materials by operando microscopy produce rich image datasets [3, 4, 5, 6], but data driven methods learn physics from these images still lacking due the complex coupling reaction kinetics, surface chemistry, phase separation [7]. Here, we show that...
Understanding the charge transfer processes at solid oxide fuel cell (SOFC) electrodes is critical to designing more efficient and robust materials. Activation losses SOFC have been widely attributed ambipolar migration of charges mixed ionic-electronic conductor-gas interface. Empirical Butler-Volmer kinetics based on transition state theory often used model current-voltage relationship, where charged particles classically over an energy barrier. However, hydrogen oxidation/water...
Operando non-destructive evaluation (NDE) techniques for Li-ion batteries are the gold standard gaining physical insights into a cell. These methods have potential to transform battery formation optimization, electrode and electrolyte characterization, state-of-health (SoH) remaining useable lifetime metrics by providing an orthogonal data stream supplement conventional electrochemical data. A well-known NDE method is acoustic emission (AE) testing. AEs elastic waves that generated release...
Spectral mode representations play an essential role in various areas of physics, from quantum mechanics to fluid turbulence, but they are not yet extensively used characterize and describe the behavioral dynamics living systems. Here, we show that mode-based linear models inferred experimental live-imaging data can provide accurate low-dimensional description undulatory locomotion worms, centipedes, robots, snakes. By incorporating physical symmetries known biological constraints into...
Abstract The global devastation of the COVID-19 pandemic has led to calls for a revolution in heating, ventilation, and air conditioning (HVAC) systems improve indoor quality (IAQ), due dominant role airborne transmission disease spread. While simple guidelines have recently been suggested IAQ mainly by increasing ventilation filtration, this goal must be achieved an energy-efficient economical manner include all cleaning mechanisms. Here, we develop protocol directly, quantitatively,...
Spectral mode representations play an essential role in various areas of physics, from quantum mechanics to fluid turbulence, but they are not yet extensively used characterize and describe the behavioral dynamics living systems. Here, we show that mode-based linear models inferred experimental live-imaging data can provide accurate low-dimensional description undulatory locomotion worms, centipedes, robots, snakes. By incorporating physical symmetries known biological constraints into...