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Symposium Highlights for the Scientific Press

The following presentations have been selected by symposium organizers as being especially press-worthy. The symposium highlights will be updated throughout the week.

Note to Symposium Organizers: If you have newsworthy sessions of interest for the press, please take a few minutes to complete the  online form.

Contact Jenny MacBeth, Marketing Communications Coordinator, with questions.


CH01.02: Advancing High-Resolution Imaging of Human Viruses and Vaccines in Liquid
The talk showcases how in situ liquid phase TEM helps to improve human health and disease with high-resolution imaging and dynamic insights of viruses (including SARS-COV2), vaccine candidates, and antibody-based therapies.

CH01.02: Transient Lensing from an Electron Gas Imaged by Ultrafast Electron Microscopy
The visualization of cyclotron dynamics inside two-dimensional electron-gas materials.

CH01.07: Probing Electrically-Driven Phase Dynamics via Correlated Electron Scattering and Transport
Non-equilibrium and metastable phases in correlated materials uncovered by ultrafast electron diffraction.

CH01.10: Giant Polarization and Abnormal Super-Elasticity in Freestanding Perovskite Oxides
Probing nanoscale electromechanical properties of freestanding oxide-based flexible nanoelectromechanical systems (NEMS).

CH01.12: Operando X-Ray Probes to Understand Nanoparticle Nucleation, Assembly and Catalysis
Correlative imaging of the pathway and mechanism of atomically precise nanoparticle nucleation, self-assembly to super lattices, and catalysis for the CO2 reduction reaction.

DS01.03: Polymer Informatics—Recent Advances in Algorithms to Solve Forward and Inverse Problems
Recent advances in materials informatics now make it possible to design new polymer formulations with targeted functionalities, without relying on costly, time-consuming trial and error approaches.

DS01.04: Materials Discovery Using Deep Learning and Differentiable Physics
Recent developments from Google scientists make it possible to discover new materials with unusual properties/functionalities by simultaneously leveraging physics knowledge and data.

DS02.01: The Additive Manufacturing Moment Measure—A Parallel Computation Technique for Determining Build Variance in the Laser Powder Bed Fusion Process
Rapid computational approaches to advance 3D metal printing: Development of accurate modeling of laser powder bed fusion processes for expedited material and part qualification for aerospace applications.

DS02.09: Investigation of Novel 2D Material Heterostructures
Complementing experimental data of 2D materials via sophisticated modeling: Development of high-fidelity computational techniques for in-need structure-property relationships in heterogeneous interacting 2D materials.

DS02.10: 3D Printing Active Electronic & Optoelectronic Devices
Refining 3D printing: Development of a 3D printing technique for the fabrication of electronic and optoelectronic devices that can overcome current non-uniformity 3D printing challenges. More specifically, it will be shown how a 3D-printed light-emitting diode can be fabricated successfully for high performance.

DS02.10: 3D Printing of Bioelectronics and Soft Robots
Modern Medicine: Rapid and advanced 3D printing of soft devices for bio-electronics and soft robots with ultra-high resolution that can meet a variety of biomedical needs including neurological and navigational devices on demand.

DS02.11: Additive Manufacturing of Multi-Functional Materials and Devices for Space Applications
Today's needs in high-tech applications: ​3D printing techniques and fabrication of multi-functional novel composite materials for CO2 removal in space explorations.

DS02.12: Fundamental Photopolymer Additive Manufacturing Using a Uniformly Illuminated, Individual-Pixel-Characterized Light Engine
Understanding fundamental physics at the nanoscale for in-situ 3D printing processes: Development of a cutting edge light engine for comprehensive characterization of photo polymerization of 3D printed materials to achieve high performance and reliability via discernment of essential photochemistry and photo-physics at pixel resolution.

DS03.01: High-Throughput Study of Lattice Thermal Conductivity Including Higher-Order Anharmonicity
The design and discovery of novel materials with targeted properties is the eternal quest of materials science. This paper will review some of the most advanced computational approaches to fast predict thermal properties of highly complex materials for alternative energy and sustainability.

DS03.01: Anharmonic Phonons, Superionic Diffusion and Ultralow Thermal Conductivity in Complex Argyrodite Cu7PSe6
Complex argyrodite compounds are attracting intense interest for both solid-state electrolytes owing to their superionic behavior, and for thermoelectric applications owing to their ultralow thermal conductivities. This presention will discuss how machine learning techniques assist experimental and theoretical techniques to investigate atomic dynamics in complex compounds to long time scales.

DS03.03: Data-driven Explorations of Materials Phase Stability for Improved Rational Design
The Materials Project (www.materialsproject.org) uses supercomputing together with state-of-the-art quantum mechanical theory to compute the properties of all known inorganic materials and beyond, design novel materials and offer the data for free to the community together with online analysis and design algorithms. The resource supports a growing community of data-rich materials research, currently supporting over 200,000 registered users; tens of millions of data records are served each day through the API. The Materials Project currently disseminates phonon properties for over 2,000 materials, including their corresponding entropy and heat capacity. The data has provided rich information on phase stability and even allowed for design of novel multiferroic materials. The presentation will discuss autonomous algorithms to explore the vast landscape of phonon-enabled, diffusionless phase transformations; which is anticipated to aid the design of novel materials with emergent properties.

DS03.03: Using Machine-Learning Models to Accelerate Interatomic-Force-Constant Calculations
The key ingredients in thermal property prediction are second- and third-order derivatives of the potential energy with respect to atomic displacements around the equilibrium position. A direct calculation of all the required derivatives typically requires three orders of magnitude more computational effort than the local minimization used to find that equilibrium. Problems can quickly become intractable when large localized defects, complex unit cells, multiple phases, and collections of several materials come into play, all of which are common occurrences in real materials for technological applications. This presentation will discuss strategies to accelerate these calculations in real materials, and in turn expedite thermal property predictions.

DS03.06: A High-Throughput Database Of Phonons: Automation, Infrastructure, Machine Learning and Data-Driven Ferroelectric Materials Discovery
Databases of computed materials properties are revolutionizing the way materials science is done. Compared to electronic and chemical property databases, phonon property databases are highly limited, mainly because computing these properties suffers from high cost and reliability issues. This presentation will report on a large database of highly converged phonons obtained using first-principles approaches and selection criteria for populating these databases. It will also present a use case where new ferroelectric materials are detected using this phonon database.

DS03.07: Giant Optomechanical Coupling and Nonlinear Phononics in Broken-Symmetry and Charge Density Wave Materials
Materials with large opto-mechanical coupling coefficients display nonlinear response properties of possible interest for quantum transduction and quantum machine learning applications. This presentation will reveal findings that suggest nonlinear phononics processes in charge density wave state of the layered transition-metal dichalcogenide are promising for non-linear optics applications.

EN06.03: The Stability and Kinetics of the Li/Solid Electrolyte Interface
Li/solid electrolyte interface stability and kinetics is one of the most important issues to be understood for solid state batteries.

EN06.06: Understanding Interfacial Phenomena in All-Solid-State Batteries
Leading expert talks about all-solid-state batteries.

EN06 Virtual: Transport Limitations in Li-S Solid-State Batteries
Leading expert talks about transport limitation in high capacity Li-S batteries.

EN06 Virtual: Factors Influencing the Critical Current in Lithium Anode Ceramic Electrolyte Solid-State Batteries
Leading expert talks about critical current density in solid-state batteries, an understanding important for fast charging.

EN06 Virtual: Lithium Hydroxide Halide Antiperovskites—An Ideal Model System to Understand Solid-State Batteries
New types of solid electrolyte materials are discussed.

EN06 Virtual: Differentiate the Intrinsic and Extrinsic Interface Resistance in All-Solid-State Li-Ion Batteries
Leading expert talks about interface resistance in solid state batteries, important for fast and stable cycling.

EN06.01: The Pros and Cons of Solid vs Liquid Electrolytes in Lithium Batteries
M. Stanley Whittingham, Nobel laureate lecture.

EN06.01: Enabling High Energy Density All-Solid Batteries
Toyota's vision on all-solid state batteries.

EN06.02: What are the Structural Features That Lead to High Li-Ion Conductivity?
World leading expert talks about computational prediction of new solid electrolytes.

EN06.05: A Proposed General Solution to the Dendrite Penetration Problem
The lithium dendrite problem is one of the most challenging issues to be solved for batteries.

EN06.05: Phase-Field Method of Li-Metal Plating and Stripping in Solid-State Li-Ion Batteries
World leading expert talks about lithium plating and stripping.

EN06.14: Response of Nanostructured Block Copolymer Electrolytes to Large Currents in Lithium Batteries
High currents and high rates are very important for next generation solid state batteries.

EQ09.02: Fundamental Studies and Applications of 2D Halide Perovskite Heterostructures
This presentation covers fundamentals and applications of 2D perovskite materials and devices that will attract general attention from many researchers.

EQ09.04: Spin-Orbit Coupled Exciton-Polariton Condensates in Lead Halide Perovskites
Spin-Orbit coupling (SOC) of electrons is responsible for a number of quantum phenomena in solids including perovskite materials. The fundamental study about spin-orbit–coupled exciton-polariton condensates in lead halide perovskites leads to a deeper understanding of perovskite materials.

EQ09.08: Organic Semiconductor-Incorporated Perovskite (OSiP) Lighting-Emitting Devices
Organic semiconductors can be incorporated in perovskite materials to control various properties. This presentation covers how organic semiconductor additives affect various properties such as crystal structure, band structure, electrical conductivity, and thermal conductivity, which will be helpful for the development of memory devices, field-effect transistors, thermoelectric devices, LEDs, and solar cells.

EQ09.08: Tailored Surface Defect Passivating Materials for Efficient and Metal Halide Perovskite Light-Emitting Diodes
Surface defects of perovskite materials are critical for the efficiency of perovskite LEDs as well as solar cells. This presentation covers various strategies to passivate surface defects in perovskite materials which will lead to improved performance of devices based on these perovskite materials.

EQ09.15: Progress in Reduced-Dimensional Perovskite Light-Emitting Materials and Devices
Reduced-dimensional perovskites consisting of quantum wells separated by organic cations exhibit large exciton binding energy which is an advantage for efficient LEDs. In addition, large organic cations incorporated in reduced-dimensional perovskites leads to the reduced defects and stable crystal phase compared to 3D perovskites. Many high-performance perovskite LEDs and solar cells based on reduced-dimensional perovskites have been reported recently.

EQ09.16: High-performance Perovskite-Nanocrystal Based Red Light Emitting Diodes with Long Operational Lifetime of 317 hours
Due to facile synthesis and high efficiency, perovskite nanocrystals have attracted much attention for perovskite LEDs. However, the stability of perovskite nanocrystals are typically lower than that of bulk perovskites. The presentation reports highly improved stability of LEDs based on perovskite nanocrystals.

QT01.03: Ultrafast Structural Deformations in the Hybrid Perovskites Probed by Femtosecond X-Ray and Electron Scattering
Excitation localization involving dynamic nanoscale distortions is a central aspect of photo catalysis, quantum materials and molecular optoelectronics. Experimental characterization of such distortions requires techniques sensitive to the formation of point-defect-like local structural rearrangements in real time. This presentation visualizes excitation-induced strain fields in a prototypical member of the lead halide perovskites via femtosecond resolution diffuse X-ray scattering measurements. This enables momentum-resolved phonon spectroscopy of the locally distorted structure and reveals radially expanding nanometer-scale strain fields associated with the formation and relaxation of polarons in photo-excited perovskites.

QT01.11: Very Short and Yet Quite Eventful Life of Hot Carriers in Plasmonic Metals
The field of plasmonics has transitioned from nano-photonics uses where metallic absorption is detrimental to applications such as photo-detection and photo-catalysis where hot carrier generation can be utilized. This presentation provides a rigorous investigation on how fundamental processes affect carrier cooling in plasmonics and how this affects the performance characteristics of various proposed plasmonic devices.

QT01.12: Pathways for Carbon Dioxide Reduction in Plasmonic Hot Carrier Photoelectrochemical Structures
Harvesting non-equilibrium carriers at semiconductor-metal interfaces offers an opportunity to modify the rates and pathways for photochemical reactions at the nanoscale. This provides new opportunities for realizing useful applications. In this presentation, examples reactions at Au/p-GaN and Cu/NiO interfaces are used to demonstrate carbon dioxide reduction.

QT05.02: Discovery of Topological Magnets in 2D and 3D and the New Frontiers
This will be an outstanding talk by a major world expert in the field of topological materials. This talk explain the next developments in the field of topological matter, one of the next frontiers in physics.

QT05.03: Growth of Topological Materials from the 2D to the 3D Level: the Case of Xenes and Ditellurides
This presentation will highlight a method for growing new 2D topological materials that have extraordinary properties. There are not a lot of experts in this booming field able to growth these exotic materials and Alesssandro Molle is one of the leaders in the field.

QT05.03: Si-Ag 2√3×2√3R(30°) Surface Alloy Versus Silicene on Ag(111)
Guy Lelay is one of the pioneers of the growth of 2D topological materials. This presentation will shed light on the latest developments in the field to grow more suitable layers with reproducible properties.

QT05.03: Topology and Chirality
Claudia Felser is one of the major experts in the field of topology in materials. In this talk, she will explain the relationship between the chirality of materials and their topological properties. This is extremely important in order to achieve the realization of layers for topological properties.

QT07.08: Quantum Emitters in Three- and Two-Dimensional Materials
Quantum information systems constitute a grand challenge for materials science, because of potentially competing success metrics of long coherence times and strong entanglement. Achieving quantum emitters in novel materials helps to address this challenge.

QT07.09: Quantum Defects in Hexagonal Boron Nitride - Origin and Applications
Similar to the previous talk, but for another material system of interest. It's the general goal of our symposium to highlight these challenges.

QT11.01: Process Machine Learning of Iron-Based Superconducting Polycrystalline Bulk
This contribution will demonstrate the effectiveness of machine learning to predict the best process for superconducting materials.

QT11.02: Photoreactions Create Superconducting Materials!
This contribution will suggest an innovative path to create superconducting materials.

QT11.03: The Magic Family of Twisted Graphene Superlattice
Twisted graphene superlattices are considered the most intriguing superconducting materials.

QT11.05: Superconductivity in Infinite-Layer Nickelates
This is an exhaustive review of s novel class of superconducting materials, the nickelates.

QT11.07: Research, Development and Commercialization of Coated Conductors by SuperOx
SuperOx is currently the worldwide leader in the mass production of superconducting tapes.

QT11.10: Fe(Se,Te) Superconductor is Facing HTS Materials in High Current and High Field Performance
This contribution shows how Fe-based superconductors are competitive with traditional cuprates in terms of high currents carried in high fields.

SB07.01: Specific and Portable Graphene Field Effect Biosensor for Simultaneous Detection of Diverse Viruses
This is about detection of various COVID-19 strains.

SB07.02: A Novel Microbubble Platform for Immunotherapy: Using MUSIC to Activate the STING Pathway
New way for cancer immunotherapy.

SB07.02: “Chemical Factory”-Guaranteed Chemodynamic Therapy of Orthotopic Liver Cancer
Novel concept for cancer therapy.

SB07.02: X-Ray Induced Photodynamic Therapy by Novel Scintillator Nanoparticles
New and promising method for cancer therapy.

SB07.04: Lipid Nanoparticles for Broad-Spectrum Nucleic Acid Delivery
The topic is very hot at the moment.

SF05.01: Collective Cell Behavior in 3D Cell Assemblies—3D Printed Structures, Random Aggregates and Perfectly Precise Arrays
This work studies collective cell behavior in 3D assemblies providing a newfound understanding of the relationship between cellular structure and emergent tissue function. This paper explores the bridge between 3D fabrication and biostructures; enabling the study of collectively driven mechanical instabilities in 3D printed structures, cell migration in 3D printed immunotherapy models, cell aggregation in random 3D cell dispersions, and biofabrication with single-cell precision - showcasing a tunable and flexible method for creating 3D cell assemblies and performing experiments on cells in 3D environments.

SF05.05: Robust Collective Locomotion with and Without Coordination
This presentation will discuss how groups of worms (worm blobs) can make decisions to avoid environmental threats without presumed system-wide coordination. Such paradigms could be the key to the future of robot swarms that could move along the (un)coordination axis to flexibly perform complex tasks which might require individual or collective actions.

SF05.05: Magnetohydrodynamic Levitation for High-Performance Flexible Pumps
This presentation will explore a novel scalable approach to making soft robotic hearts and presents an elastomeric pump uniquely suited for soft robotics challenges. This work constitutes a first step in developing a practical deformable pump that will serve as a foundation for future advances in untethered soft pump technology.

SF09.01: Damage-Tolerance in fcc and bcc High-Entropy Alloys
In structural materials, Damage-Tolerance has been studied as an important issue, and in this presentation, research conducted from the perspective of Damage-Tolerance in high entropy alloys is presented.

SF09.01: Short Range Order and the Evolution of Deformation Mechanisms in the CrCoNi Medium Entropy Alloy
Whether or not Short Range Order (SRO) exists in high/medium entropy alloys has been debated for a long time, and this presentation deals with it.

SF09.02: Order Phenomena and Mechanical Properties in Refractory High Entropy Alloys of the System Ta- Mo-Cr-Ti-Al
Since superior mechanical properties of Refractory High Entropy Alloys are based on order-disorder transition, this presentation deals with Order Phenomena in depth.

SF09.03: Insights on Phase Formation from Thermodynamic Calculations and Machine Learning of 2436 Experimentally Measured High Entropy Alloys
Since High Entropy Alloys contain several elements, thermodynamic calculations and Machine Learning are powerful tools for alloy design as will be discussed in this presentation.

SF09.05: Excitement and Challenges in High Entropy Alloy Research
High Entropy Alloys were discovered in the 1980s and studied actively from the 2010s, and this presentation describes the excitement and challenges in High Entropy Alloy research.

SF09.06: Novel Precipitate Strengthening Mechanism in a Medium-Entropy Alloy
A method to improve mechanical properties of high entropy alloys using precipitate strengthening was studied recently, and this presentation focuses on a Novel Precipitate Strengthening Mechanism in a Medium-Entropy Alloy.

SF09.07: Transition Metal-Based High Entropy Alloy Microfiber Electrodes with Improved Corrosion Behavior and Hydrogen Activity
The development of High Entropy Alloy Microfiber Electrodes is a very unique and new research topic, and the corrosion behavior and hydrogen reaction of High Entropy Alloy Microfiber Electrodes is discussed in this presentation.

SF13.02: Nanowire-Forest Grown Shape Memory Alloy for Fast Actuation and Its Application to Bio-Inspired Robotics
Nanowire-forest grown shape memory alloys for fast actuation and its application to Bio-Inspired Robotics shape-memory alloys are promising materials for artificial muscles. Similar to biological muscles, the material contracts upon heating and relaxes when it cools. A challenge with SMAs is their cooling time, which limits the rate of actuation. This presentation will demonstrate decreased cooling time using a forest of nanowires to rapidly dissipate heat and let the material relax more quickly.

SF13.07: Self-Powered Finger Motion-Sensing Structural Color Display
Self-powered electronics and displays will be critical to reduce energy usage in the future. This presentation describes a zero-power material that shows finger presses and motions through color change in a photonic crystal.




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