2021 MRS Fall Meeting 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.

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DS03.02—Materials from Fire—A New Approach to Design Material from Nature

A novel approach where in fire is used to design new materials.

DS03.04—Differentiable Simulations and Deep Learning for Materials Design

The class of differentiable simulations enables accurate simulations as these are written through differentiable code. Such approaches are specifically useful when combined with deep learning for materials design. 

DS03.07—Four Generations of Neural Network Potentials for Materials Science

A brief history on the development of machine learned interatomic potentials for materials simulation.

DS03.08—Machine Learning at the Exascale for Atomistic Simulations with Improved Accuracy, Length and Time Scales

Exascale computing for analyzing large length scales through atomistic simulations, that are otherwise inaccessible with the present computational power.

DS03.09—Automatically Interpreting Materials Characterization Data to Model Materials Properties Using Machine Learning

AI interprets the material characterization data and predicts material properties. This can alleviate the need of a domain expert to interpret material characterization data.

EN12.01Microstructural Design Principles for Achieving Stable Electrochemical Interfaces for Metal Anodes

Stable interfaces are key for the realization of metal anodes and the presenting author is a leading scientist in this field.

EN12.02—Rational Design of Multivalent Metal Batteries—Enolization Cathode and Nonporous Separator

Multivalent batteries promise higher energy densities in the future and the presenting author is one of the highly cited researchers working in this field.

EN12.07The Perspective of Multivalent Batteries

Multivalent batteries promise higher energy densities in the future and the presenting author is one of the highly cited researchers working in this field.

EN12.08—K-Ion Batteries—Progress and Outlook

A comprehensive review of the emerging field of potassium-ion batteries.

EN12.09Development of Layered Oxides Cathodes and Phosphorus Anode for High-Energy and Low-Cost Sodium-Ion Batteries

A very interesting cell chemistry.

EN12.10An In-Depth Assessment of Zinc-Ion Diffusion in Solid-State Hosts

One of the leading scientists in the field of electrochemical energy storage.

EN12.11—Metal-H2 Batteries for Large Scale Stationary Energy Storage

One of the most cited researchers in the field.

EN12.11—New Anode Materials for Sustainable Sodium-Ion Batteries

Comprehensive overview of alternative anode materials for sodium-ion batteries from a scientist that has been one of the first working in this field.

EN12.12Developing Ionogel Electrolytes for Solid-State Batteries

One of the leading scientists in the field of electrochemical energy storage. 

EN12.13—Aqueous Battery for Large-Scale Energy Storage — Towards Both High Energy Density and Superior Safety

A highly interesting battery technology for stationary storage applications.

EN12.14Digitalization of Lithium–Ion Battery Manufacturing— From Physics-Based Modeling to Artificial Intelligence and Augmented Reality

One of the leading scientists in the field of AI with regard to electrochemical energy storage.

EN12.14Molecular Modeling of Electrolytes for Lithium and Divalent Batteries

One of the leading theoreticians in the field of battery electrolytes.

EN12.15—Nanocellulose Batteries

A highly interesting technology with great promise for an enhanced sustainability.

EN12.15Mechanistic Investigations of Manganese and Vanadium Oxide Electrochemistry in Aqueous Zinc Batteries

A leading scientist in the field with great experience presenting a comprehensive overview.

EN12.16Sodium Batteries—From Small to Large-Scale Stationary Energy Storage

One of the scientists who has opened up this field of research, and has continuously been among the most highly cited researchers worldwide.

EN12.16—Interface Design of All-Solid-State Batteries

One of the leading scientists worldwide in the field of solid-state batteries which are foreseen to play a dominant role for the transportation sector.

EN12.17—Enhanced Stability and Rate Performance of Sodium Batteries

One of the top 5 scientists in this field worldwide.

EN12.17—Hexacyanometallates for Rechargeable Batteries

Hexacyanometallates for Rechargeable Batteries.

EN12.18—Poster Session III: Advanced Materials and Chemistries for Low-Cost and Sustainable Batteries

One of the scientists that has opened this field of research.

EN12.18—Poster Session III: Advanced Materials and Chemistries for Low-Cost and Sustainable Batteries

Towards Low-Cost and Sustainable Na-Ion Batteries Using Vanadium Phosphate Positive Electrode Materials.

EN13.02AI for Accelerated Discovery of Materials for Carbon Capture

Carbon capture, utilization, and storage (CCUS) is an essential tool in our ability to reduce carbon emissions, curb rising atmospheric temperatures, and address climate change. While some CCUS technologies exist today, most have been limited to pilot-scale projects due to excessive cost driven in part by poor performance of materials used carbon capture technologies, including degradation, high energy penalties for regeneration, and other process challenges. Materials research is historically time-consuming and laborious, but new capabilities in artificial intelligence (AI) are enabling acceleration of the discovery process. IBM Research is employing its expertise in AI techniques including natural language processing, machine learning, and generative modeling to create a platform to enable rapid discovery of new materials with enhanced carbon capture performance.

EN13.05—A New Strategy of Negative Carbon Emissions by Nanomembranes for Ubiquitous CO2 Capture

Negative emission technologies that remove greenhouse gases from the atmosphere are an important and critical part of the response to climate change. In particular, a lot of technologies for direct capture of atmospheric CO2, called Direct Air Capture (DAC), have been proposed in recent years. Current DAC technologies are mainly focusing on sorbent-based systems. Recently, they have developed nanometer-thick membranes that exhibit extremely high CO2 permeability, and these membranes have been successfully demonstrated to separate and capture CO2 from even very low concentrations of CO2. Process simulation studies have shown that the membrane process is a potential new DAC technology candidate. Membrane separation is unique in its low cost, small footprint, and high size scalability compared to other conventional absorber-based capture technologies. Given these features, the m-DAC system has great potential for CO2 capture and can be used in a variety of locations and scenes, including urban areas where absorber-based systems are difficult to install.

EN13.05Carbfix: CO2 Mineral Storage

Carbfix has developed a technology that rapidly and permanently transforms captured to stone underground with the objective of fighting climate change. We will not be able to meet our climate goals without bringing such technologies to the Gigaton scale. The technology accelerates a process that is already part of the carbon cycle on Earth and is therefore environmentally friendly in addition to being cost-effective and having near unlimited storage potential globally.

EN13.05Direct Air Capture of CO2 and Its Role in Mitigating Global Warming

Climeworks operates the world largest DAC+sequestration plant since 09-2021, in Iceland A 10X scaleup is in preparation, project schedule foresees commissioning by YE2023.

EN13.07—U.S. Department of Energy’s Fossil Energy and Carbon Management R&D Program—Carbon Dioxide Removal Overview

The U.S. Department of Energy’s Fossil Energy and Carbon Management (DOE-FECM) R&D Program is supporting the development of transformational cost-effective carbon dioxide (CO2) capture technologies throughout the power-generation and industrial sectors as well as carbon dioxide reduction (CDR) technologies. The Carbon Capture Program is leveraging this past research in materials, equipment and process development for both current and transformational CDR technologies, such as direct air capture (DAC) and bioenergy carbon removal and storage (BiCRS), while evaluating the opportunities in direct ocean capture and enhanced weathering. Accelerating the development and deployment of these climate-critical technologies will support the U.S. goal to achieve a carbon pollution-free electricity sector by 2035 and zero-carbon economy by 2050.

EN13.09Direct Air Capture of CO2 with Aqueous Amino Acids/Peptides and Crystalline Guanidines

Negative emission technologies, such as direct air capture (DAC), are essential for mitigating climate change. They have developed a promising new approach to DAC that combines CO2 absorption with environmentally friendly amino acids or peptides, and (bi)carbonate crystallization with simple guanidines. The resulting process is very effective and energy-efficient compared to state-of-the-art DAC technologies.

EN13.11Ultra-Thin and Robust Liquid Membrane for CO2 Capture from Gas Mixtures

Describes a new type of bio-inspired membrane that overcomes the limitations faced by standard polymeric membranes, thus offering the potential for low cost carbon capture to mitigate climate change without sacrificing our economy.

EQ05.07—Tunable, Multi-Wavelength Plasmonic Nanoscale Lasing

Promising Nanolasers.

EQ05.08—Advancing Photonic Design with Machine Learning

Photonics for Machine Learning.

EQ05.10Late News: Electrically Switchable Plasmonic Nanoantennas—Active Metasurfaces for Beam Steering and Metalensing

Promising tunable devices.

EQ05.11Quantum Photonics Empowered by Plasmonics and Machine Learning

Promising quantum technology.

SF04.03—Late News: Two Photon Polymerization of Microstructured and Nanostructured Medical Devices

The study "Naloxone and nalmefene absorption delivered by hollow microneedles compared to intramuscular injection" will be presented during this oral presentation. These studies using dogs as a model are critically important to the successful development of novel treatment strategies for opioid-induced respiratory depression (OIRD). Dogs are ideal because they can be used to mimic overdoses caused by the potent opioid fentanyl. Dogs are easily monitored for the effects of these reversing agents and are amenable to sampling to measure drug concentrations. Importantly, these studies are completely humane since the dogs will fully recover once the reversing agent is administered, allowing each dog to serve as their own control to compare various treatments.

SB11.01Tunable Electrochemical Activity and Conduction in Light-Patterned Shewanella Biofilms

Electroactive bacteria can be used for generating energy and for wastewater remediation.

SB11.02P3HT Nanoparticles with Core-shell Architecture— Tuning the Photophysical Properties for Improved Neuronal Photostimulation

These photoactive nanoparticles hold great promise for curing and studying neurological diseases, and for restoring vision.

SB11.04Cyborg Brain Organoids

The integration of photoresponsive materials in tissues can be exploited for building up organoids and smart tissues that can be used for soft robotics.

SB11.05—Cell-Silicon Nanowire Hybrids for Bioelectrical Interrogation with Sub-Cellular Resolution in 3D Tissues

New bio-hybrid photoresponsive materials are successfully used for triggering and studying biolectric signalling with unprecedented time and temporal resolution.

SB11.07Real Time Monitoring of Host-Pathogen Interactions Using Cell Membranes on a Chip

This technique can be used for studying important biological processes and the development of metabolic diseases.

SB11.09Electrically Induced Membrane Potential Dynamics in Yeast

The monitoring of membrane potential in small cells and organisms, such as yeast and bacteria, is usually challenging. New approaches and concepts are emerging with the view to tackle this challenge.

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