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Meeting MS&T25: Materials Science & Technology
Symposium Autonomous Platforms for Designing and Understanding Materials
Presentation Title Materials discovery using deep microscopic optics
Author(s) Pronoy Das, Sathwik Bharadwaj, Zubin Jacob
On-Site Speaker (Planned) Zubin Jacob
Abstract Scope Conventional optical approaches, which average over microscopic fields via homogenization, fail to capture light-matter interactions accurately at sub-nanometer and sub-lattice scales. We introduce deep-microscopic optics, a framework designed to overcome these limitations by describing the complete electrodynamics at this fundamental level. Deep-microscopic optics unveils the full fluctuation dynamics of microscopic fields and reveals hidden optical phenomena atomistically, particularly leveraging crystal symmetries within solid-state systems. As a testbed, we apply deep-microscopic optics to tellurium (Te), which reveals a previously hidden chiral optical spin texture within the Te lattice. Furthermore, comparing the optical birefringence of Te to other natural materials in the mid-infrared regime highlights its giant anisotropy. These fundamental insights from deep-microscopic electrodynamics offer new avenues for understanding light-matter interactions and are guiding ongoing research toward targeted materials discovery.

OTHER PAPERS PLANNED FOR THIS SYMPOSIUM

Digital laboratory with modular measurement system and standardized data format
Ferroics Reimagined with Causal Machine Learning
From deposition to degradation of thin films and devices through autonomous experimentation
Knowledge Graphs for Chemical Synthesis: Using Historical Data for Querying and Semantic Reasoning
Materials discovery using deep microscopic optics
Operating autonomous laboratories with AI agents
Robust reflection set matching for online phase identification from X-ray diffraction data
Self Driving Labs and and Digital Twins
Sparse Sampling and Inpainting for High-Throughput Scanning Transmission Electron Microscopy
Towards Autonomous Imaging and Analysis of Magnetic Domains

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