Georgia Institute of Technology

Transforming Gas Separations with Scalable Carbon Molecular Sieve Membranes Enabled by Chemically Tuned Hollow‐Fiber Precursors

ABSTRACT Blending hydrogen into natural gas pipelines requires efficient separation, while helium recovery from natural gas via cryogenic distillation is energy‐ and capital‐intensive, driving demand for better membranes. This study develops ultraselective carbon molecular sieve...

Optimizing Input Data Collection for Ranking and Selection

We study a ranking and selection (R&S) problem when all solutions share common parametric Bayesian input models updated with the data collected from multiple independent data-generating sources. Our objective is to identify the best system by designing a sequential sampling algor...

Sample-Based Consistency in Infinite-Dimensional Conic-Constrained Stochastic Optimization

Abstract. This paper is concerned with a class of stochastic optimization problems defined on a Banach space with almost sure conic-type constraints. For this class of problems, we investigate the consistency of optimal values and solutions corresponding to sample average approxi...

Large language models unlock the ecology of species interactions

Species interactions shape population dynamics, geographic distributions, evolutionary trajectories, and responses to environmental change. Yet data on these interactions remain scarce across broad spatial, temporal, and taxonomic scales because they are difficult to collect in t...

Metrology, Standards, and Mission: Synopsis of the 2026 Annual Meeting of the Council on Ionizing Radiation Measurements and Standards (CIRMS)

The Council on Ionizing Radiation Measurements and Standards (CIRMS) is an independent, non-profit council composed of experts from academia, government, and industry across all areas of ionizing radiation science and technology, providing leadership, focus, and coordinated actio...

Thy1-Neuron p38α knockdown protects against neurological consequences following repetitive mild traumatic brain injury

Mild traumatic brain injuries (mTBI) can substantially impact quality of life, and repetitive mTBIs (rmTBIs) can amplify injury effects compared to a single injury. However, effective clinical treatments remain elusive, largely due to an incomplete understanding of the underlying...

Meter‐Scale Roughness of the Lunar Surface

Abstract Small‐scale surface roughness is a key indicator of local geological processes, yet it has not previously been mapped globally on the Moon. We present global meter‐scale surface roughness maps generated from the Lunar Orbiter Laser Altimeter pulses, which record informat...

Reprogramming the tumor immune landscape through SPP1 targeting

Abstract Beyond its canonical roles in bone mineralization and extracellular matrix remodeling, secreted phosphoprotein 1 (SPP1) has emerged as a central regulator of the tumor microenvironment (TME), orchestrating immunosuppressive programs that drive immune evasion and tumor pr...

Explainable artificial intelligence for secure and privacy-preserving 5 G networks

Explainable artificial intelligence (XAI) is increasingly relevant to the security, privacy, and governance of AI-enabled 5 G and emerging 6 G networks. However, existing studies remain fragmented across wireless tasks, data modalities, network planes, and evaluation criteria, ma...

Predicting Section Loss and Corrosion Severity in Steel Using Ensemble Learning on Visual Imagery Data

ABSTRACT The integration of emerging technologies such as unmanned aerial vehicles (UAVs), computer vision, and machine learning is transforming infrastructure inspections, offering a means to conduct remote, safe, and efficient condition assessments. Computer vision techniques h...

Overlapping Schwarz Scheme for Linear-Quadratic Programs in Continuous Time

We present an optimize-then-discretize framework for solving linear-quadratic optimal control problems (OCPs) governed by time-inhomogeneous ordinary differential equations. Our method employs a modified overlapping Schwarz decomposition based on the Pontryagin Minimum Principle,...

Chiral discrimination of amino acids in meteorite and desert soil extracts via single-molecule nanogap conductance

Life on Earth uses L-amino acids and D-sugars, whereas abiotic processes produce equal abundances of both enantiomers. Detecting enantiomeric excess among molecules of biological interest has therefore been proposed as a potential biosignature for life beyond Earth. However, robu...

Volitional control of wearable robots

This Comment motivates the development of human–machine interfaces that decode spinal motor neuron activity and resulting muscle force information in moving humans. Such interfaces could enable users across the neuromuscular functional spectrum to volitionally control wearable ro...

Science of Nuclear Fusion: Insights and Ideas

Advances in several physics domains open up novel paths to smaller scale, higher energy density opportunities to advance small systems for nuclear fusion. Here we survey both legacy and several novel “table-top” approaches which attract current interest. We furthermore address a...

Sakura: An Approach for Generating Complex Tests from Natural Language Test Descriptions

Testing is a core activity in software development, and research on its automation has spanned several decades. Most existing approaches focus on generating unit tests for individual methods, validating isolated API endpoints, or targeting user interface (UI) layers. However, for...

Learning the Path to Ion Separation: A Proof-of-Concept for Machine Learning-Assisted Inverse Design (MLAID) of Nanofiltration Membranes

Abstract Advancing the design of polymeric membranes through material screening and discovery offers a powerful strategy to guide future membrane fabrication tailored to a wide range of separation challenges. Traditional trial-and-error methods often fall short in navigating this...

Towards On-Device Evidence Gathering for Intimate Partner Infiltration: A Feasibility Study for Joint Identity-Action Detection

Intimate Partner Infiltration (IPI) refers to phone-side privacy infiltration in intimate or close relationships, often enabled by physical access to a person's smartphone and discussed in technology-facilitated Intimate Partner Violence (IPV) contexts. Unlike conventional cybera...

Emulating the influence of exoskeleton stiffness on primary afferent feedback in rat isolated muscle-tendon unit

Abstract Exoskeletons assist and augment movement, but their effects on proprioceptive feedback remain poorly understood due to challenges in making direct measures of sensory signals in humans. Here, we leveraged a benchtop animal model to begin to explore how mechanical context...

Reducing the Filtering Effect in Public School Admissions: A Bias-aware Analysis for Targeted Interventions

Problem definition: Traditionally, New York City’s top 8 public schools have selected candidates solely based on their scores in the Specialized High School Admissions Test (SHSAT). These scores are known to be impacted by socioeconomic status of students and amount of test prepa...

Targeted Gastrointestinal Delivery of mRNA Lipid Nanoparticles Enables Systemic Vaccination and Glucagon-like Peptide-1 Metabolic Therapy

Abstract Lipid nanoparticles (LNPs) administered parenterally often show poor localization to multiple tissue types, including the pancreas and gastrointestinal (GI) tract. Furthermore, patients typically prefer orally administered drugs to those that are given parenterally. We t...