27 papers
Machine Learning Framework for Magnetic Candidate Discovery in Cerium-Based Compounds
Joshua A. Torres, Yaser M. Banad, Benjamin O. Tayo +1
Cerium (Ce), the most abundant lanthanide, offers significant potential for addressing shortages in high-performance magnetic materials, particularly through the discovery of compo…
Physics adapted generative AI for metal insulator transition materials under label scarcity
Gourab Datta, Sarah Sharif, Zhisheng Shi +1
Metal-insulator-transition (MIT) materials are promising candidates for switchable electronics, neuromorphic hardware, and reconfigurable photonics, yet experimentally verified exa…
Unified Complex-valued Neural Network: A Magnitude-Phase Computational Model for Event-Driven Neuromorphic Learning
Reza Ahmadvand, Sarah Safura Sharif, Yaser Mike Banad
Artificial neural networks (ANN) provide accurate continuous-valued representation, whereas spiking neural networks (SNN) offer event-driven temporal processing, yet both paradigms…
A Validation-Gated Mechanistic Account of Suicidality Detection in LLMs
Nafiz Ahmed, Sarah Sharif, Dingjing Shi +1
Large language models are increasingly proposed for mental-health applications such as detecting suicidal content, raising the question of what they rely on. We study this mechanis…
Physics-informed generative AI for semiconductor manufacturing: Enforcing hard physical constraints in generative models by construction
Yaser Mike Banad, Sarah Sharif
Generative models are increasingly used to propose designs, data, and control actions for physical systems, yet many such systems are governed by hard physical constraints rather t…
Brain-inspired spike-timing plasticity for reliable label-efficient event-camera vision
Mohamad Yazan Sadoun, Sarah Sharif, Yaser Mike Banad
Deploying event-camera object detectors is constrained by per-frame labeling requirements and GPU compute demands. This work introduces three local spike-timing-dependent plasticit…