From the 1 of 1.4k papers with an AI index.
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97 papers · 1 filter
Search for Active and Inactive Ion Insertion Sites in Organic Crystalline Materials
Harshan Reddy Gopidi, Alae Eddine Lakraychi, Abhishek A. Panchal +9
The position of mobile active and inactive ions, specifically ion insertion sites, within organic crystals, significantly affects the properties of organic materials used for energ…
Physics-Informed ML Exploration of Structure-Transport Relationships in Hard Carbon
Nikhil Rampal, Stephen E. Weitzner, Fredrick Omenya +5
Sodium-ion batteries are a cost-effective and sustainable alternative to lithium-ion systems for large-scale energy storage. Hard carbon (HC) anodes, composed of disordered graphit…
Mic-hackathon 2024: Hackathon on Machine Learning for Electron and Scanning Probe Microscopy
Utkarsh Pratiush, Austin Houston, Kamyar Barakati +70
Microscopy is a primary source of information on materials structure and functionality at nanometer and atomic scales. The data generated is often well-structured, enriched with me…
Mind the Gap: Bridging the Divide Between AI Aspirations and the Reality of Autonomous Characterization
Grace Guinan, Addison Salvador, Michelle A. Smeaton +7
What does materials science look like in the "Age of Artificial Intelligence?" Each materials domain-synthesis, characterization, and modeling-has a different answer to this questi…
Segregation, ordering, and precipitation in WTaV-based concentrated refractory alloys
Jesper Byggmästar, Damian Sobieraj, Jan S. Wróbel +4
Tungsten-based low-activation high-entropy alloys are possible candidates for next-generation fusion reactors due to their exceptional tolerance to irradiation, thermal loads, and…
Revealing the Evolution of Order in Materials Microstructures Using Multi-Modal Computer Vision
Arman Ter-Petrosyan, Michael Holden, Jenna A. Bilbrey +11
The development of high-performance materials for microelectronics, energy storage, and extreme environments depends on our ability to describe and direct property-defining microst…