Publications

Barrera J.L., Geiss M.J., and Maute K. (2022). “Minimum Feature Size Control in Level Set Topology Optimization via Density Fields.” Structural and Multidisciplinary Optimization.

Chakraborty I., Kelley B.M., and Gallagher B. (2022). “Device Classification for Industrial Control Systems using Predicted Traffic Features.” Frontiers in Computer Science.

Chapman J., Goldman N., and Wood B.C. (2022). “Efficient and Universal Characterization of Atomic Structures through a Topological Graph Order Parameter.” npj Computational Materials.

Chen E., Tamm A., Wang T., et al. (2022). “Modeling Antiphase Boundary Energies of Ni3Al-Based Alloys using Automated Density Functional Theory and Machine Learning.” npj Computational Materials.

Clement M.D., Logan N.C., and Boyer M.D. (2022). “Neoclassical Toroidal Viscosity Torque Prediction via Deep Learning.” Nuclear Fusion.

Copeland D.M., Cheung S.W., Huynh K., and Choi Y. (2022). “Reduced Order Models for Lagrangian Hydrodynamics.” Computer Methods in Applied Mechanics and Engineering.

da Silva F.L., MacAlpine P., Rădulescu R., et al. (2022). “Special Issue on Adaptive and Learning Agents.” Neural Computing and Applications.

Desai S., Reeve S.T., and Belak J.F. (2022). “Implementing a Neural Network Interatomic Model with Performance Portability for Emerging Exascale Architectures.” Computer Physics Communications.

Garcia-Cardona C., Fernández-Godino M.G., O’Malley D., and Bhattacharya T. (2022). “Uncertainty Bounds for Multivariate Machine Learning Predictions on High-Strain Brittle Fracture.” Computational Materials Science.

Iftekharuddin K., Preza C., Awwal A.A.S., and Zelinski M.E. (2022). “Artificial Intelligence and Machine Learning in Optical Information Processing: Introduction to the Feature Issue.” Applied Optics.

Ingolfsson H.I., Neale C., Carpenter T.S., et al. (2022). “Machine Learning–Driven Multiscale Modeling Reveals Lipid-Dependent Dynamics of RAS Signaling Proteins.” Proceedings of the National Academy of Sciences.

Kalvakala K.C., Pal P., Gonzalez J.P., et al. (2022). “Numerical Analysis of Soot Emissions from Gasoline-Ethanol and Gasoline-Butanol Blends under Gasoline Compression Ignition Conditions.” Fuel.

Kaplan A.D., Cheng Q., Mohan K.A., et al. (2022). “Mixture Model Framework for Traumatic Brain Injury Prognosis using Heterogeneous Clinical and Outcome Data.” IEEE Journal of Biomedical and Health Informatics.

Kim Y., Choi Y., Widemann D., and Zohdi T. (2022). “A Fast and Accurate Physics-Informed Neural Network Reduced Order Model with Shallow Masked Autoencoder.” Journal of Computational Physics.

Kustowski B., Gaffney J.A., Spears B.K., et al. (2022). “Suppressing Simulation Bias in Multi-Modal Data using Transfer Learning.” Machine Learning: Science and Technology.

Lapointe S., Guss G., Reese Z., et al. (2022). “Photodiode-Based Machine Learning for Optimization of Laser Powder Bed Fusion Parameters in Complex Geometries.” Additive Manufacturing.

Li S., Ding T., Jia W., et al. (2022). “A Machine Learning-Based Vulnerability Analysis for Cascading Failures of Integrated Power-Gas Systems.” IEEE Transactions on Power Systems.

Lindsey R.K., Huy Pham C., Goldman N., et al (2022). “Machine-Learning a Solution for Reactive Atomistic Simulations of Energetic Materials.” Propellants, Explosives, Pyrotechnics.

Martin W., Sheynkman G., Lightstone F.C., et al. (2022). “Interpretable Artificial Intelligence and Exascale Molecular Dynamics Simulations to Reveal Kinetics: Applications to Alzheimer’s Disease.” Current Opinion in Structural Biology.

Mehra A., Kailkhura B., Chen P-Y., and Hamm J. (2022). “Understanding the Limits of Unsupervised Domain Adaptation via Data Poisoning.” 35th Conference on Neural Information Processing Systems.

Peterson J.L., Bay B., Koning J., et al. (2022). “Enabling Machine Learning-Ready HPC Ensembles with Merlin.” Future Generation Computer Systems.

Ritt C.L., Liu M., Pham T.A., et al. (2022). “Machine Learning Reveals Key Ion Selectivity Mechanisms in Polymeric Membranes with Subnanometer Pores.” Science Advances.

Sirunyan A.M., Tumasyan A., Adam W., et al. (2022). “A New Calibration Method for Charm Jet Identification Validated with Proton-Proton Collision Events at √s = 13TeV.” Journal of Instrumentation.

Taylor J.A., Larraondo P., and de Supinski B.R. (2022). “Data-Driven Global Weather Predictions at High Resolutions.” International Journal of High Performance Computing Applications.

Turner J.A., Belak J., Barton N., et al. (2022). “ExaAM: Metal Additive Manufacturing Simulation at the Fidelity of the Microstructure.” International Journal of High Performance Computing Applications.

Venkat A., Gyulassy A., Kosiba G., et al. (2022). “Towards Replacing Physical Testing of Granular Materials with a Topology-Based Model.” IEEE Transactions on Visualization and Computer Graphics.

Venkatakrishnan S.V., Mohan K.A., Ziabari A.K., and Bouman C.A. (2022). “Algorithm-Driven Advances for Scientific CT Instruments: From Model-Based to Deep Learning-Based Approaches.” IEEE Signal Processing Magazine.

Xia F., Allen J., Balaprakash P., et al. (2022). “A Cross-Study Analysis of Drug Response Prediction in Cancer Cell Lines.” Briefings in Bioinformatics.