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    The ALCF provides users with access to supercomputing resources that are significantly more powerful than systems typically used for open scientific research.

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Real-Space Methods for Ab Initio Modeling of Surfaces and Interfaces Under External Potential Bias

Publications Journal of Chemical Theory and Computation

Reaction Coordinates Are Optimal Channels of Energy Flow

Publications Annual Review of Physical Chemistry

RatXcan: A Framework for Cross-Species Integration of Genome-Wide Association and Gene Expression Data

Publications PLOS Genetics

Quantum Electrodynamics Coupled-Cluster at Scale: High-Performance Implementation for Complex Systems

Publications Journal of Chemical Theory and Computation

PvaPy Streaming Framework for Real-Time Data Processing

Publications Journal of Synchrotron Radiation

Preserving CUDA Syntax for SYCL Portability: A Thin C++ Abstraction without Kernel Migration

Publications SC Workshops '25: Proceedings of the SC '25 Workshops of the International Conference for High Performance Computing, Networking, Storage and Analysis

Prediction of Carbon Nanostructure Mechanical Properties and the Role of Defects using Machine Learning

Publications Proceedings of the National Academy of Sciences

Predicting the Excited-State Properties of Crystalline Organic Semiconductors Using GW+BSE and Machine Learning

Publications Digital Discovery

Efficient Sparse State Preparation via Quantum Walks

Publications npj Quantum Information

Effect of the Collisional Flavor Instability on Core-Collapse Supernova Models

Publications Physical Review D

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