arXiv subjects

A. Majeed

Publications and source records attributed to A. Majeed.

3 recordsLinked to original sources

arXiv2026

AIMBio-Mat: An AI-Native FAIR Platform for Closed-Loop Materials Discovery and Biomedical Translation

Materials discovery and biomedical translation increasingly require models that can reason across composition, processing, structure, biological response, manufacturability, safety, and governance constraints. Existing materials and biomedical data ecosystems are powerful but remain poorly coupled for AI-guided discovery. Here we present AIMBio, a conceptual framework for an AI-native, FAIR, and governance-aware decision layer that links materials provenance, biomedical context, knowledge graphs, uncertainty-aware machine learning, and human-in-the-loop active learning. The framework formulates biomedical-materials discovery as constrained multi-objective optimization under uncertainty and introduces practical requirements for metadata, model documentation, risk-tiered governance, evaluation metrics, and phased implementation. To make the roadmap testable, we add a minimum viable prototype specification and a worked pilot for AI-guided nanomaterials for drug delivery. AIMBio is positioned as exploratory and preclinical discovery infrastructure, not as clinical decision-support software; any clinical or regulated-device use would require separate validation, change control, and regulatory review. The central contribution is a publishable platform blueprint for converting fragmented materials and biomedical records into auditable, experimentally actionable, and translationally responsible discovery workflows.

physics.app-ph↗

arXiv2026

Building a Regional Data-Centric Materials Science Ecosystem for Processing-Rich Materials Innovation in the Great Plains

Data-centric materials science is changing how materials are discovered, optimized, manufactured, and qualified, yet many deployment-limiting materials problems still depend on experimental, processing-rich, device-level, and field-relevant data that are difficult to capture in conventional materials databases. This perspective argues that the Great Plains and adjacent interior research corridor can make a distinctive national contribution by organizing distributed experimental assets into a trusted regional materials-data ecosystem. The proposed model emphasizes FAIR metadata, provenance, persistent sample identifiers, uncertainty-aware modeling, semi-closed-loop workflows, stackable workforce training, and tiered governance for academic, public, controlled-access, and industry-protected data. We identify five coupled barriers -- fragmented data, weak algorithm--laboratory translation, uneven access to cyberinfrastructure and technical staff, workforce gaps at the materials--data interface, and insufficient incentives for sharing and reuse -- and propose a staged roadmap for addressing them. A high-purity germanium pilot illustrates how regional strengths can be converted into reusable datasets, benchmark models, trained personnel, and decision-improving workflows. The broader message is that regional leadership in data-centric materials science will depend less on geographic concentration than on trustworthy data practices, interoperable infrastructure, cross-trained people, and application-driven materials challenges.

cond-mat.mtrl-sci↗

arXiv2001

Extended Red Emission in the "Evil Eye" Galaxy (NGC4826)

We obtained low-resolution, long-slit 5300--9100 A spectroscopy of NGC4826 (a nearby galaxy with an absorbing dust lane (DL) asymmetrically placed across its bulge, associated with several HII regions) with a slit encompassing its bulge, positioned across its nucleus. The wavelength-dependent effects of absorption and scattering by dust in the lane are evident when comparing the observed stellar SEDs of pairs of positions symmetrically located with respect to the nucleus, one on the DL side and one on the opposite side of the bulge, by assuming that the intrinsic ISRF is axi-symmetric. We analyzed these SED ratios through the multiple-scattering radiative transfer model of Witt and Gordon and we discovered strong residual Extended Red Emission (ERE) from a region of the DL within a distance of 13 arcsec from the nucleus, adjacent to a broad, bright HII region. ERE is an established phenomenon in the literature interpreted as originating from photoluminescence by nanometer-sized clusters, illuminated by UV/optical photons. The complex radial variation of the ERE band-integrated intensity and of the ERE-to-scattered light band-integrated intensity ratio with the optical depth of the model derived for the DL and with the strength and hardness of the illuminating ISRF is reproduced consistently through the theoretical interpretation of the photophysics of the ERE carrier by Smith and Witt. When examined within the context of ERE observations in a variety of Galactic dusty environments (e.g. the diffuse ISM, reflection nebulae, planetary nebulae and the Orion Nebula), we conclude that the ERE photon conversion efficiency in NGC4826 is as high as found elsewhere, but that the size of the actively luminescing nanoparticles there is about twice as large as those thought to exist in the Galactic diffuse ISM.

astro-ph↗