Publications

Walker, E., Trask, N., Martinez, C., Lee, K., Actor, J.A., Saha, S., Shilt, T., Vizoso, D., Dingreville, R., & Boyce, B.L. (2025). Unsupervised physics-informed disentanglement of multimodal data. Foundations of Data Science, 7(1), pp. 418-445. 10.3934/fods.2024019

Dingreville, R., Startt, J.K., Wood, M.A., McCarthy, M.J., & Donegan, S. (2024). Bayesian blacksmithing: discovering thermomechanical properties and deformation mechanisms in high-entropy refractory alloys. npj Computational Materials, 10(1). 10.1038/s41524-024-01353-z

Dingreville, R., Roberston, A.E., Attari, V., Greenwood, M., Ofori-Opoku, N., Ramesh, M., Voorhees, P.W., & Zhang, Q. (2024). Benchmarking machine learning strategies for phase-field problems. Modelling and Simulation in Materials Science and Engineering, 32(6). https://doi.org/10.1088/1361-651x/ad5f4a

Dingreville, R., Desai, S., Karniadakis, G.E., Oommen, V., & Shukla, K. (2024). Rethinking materials simulations: Blending direct numerical simulations with neural operators. npj Computational Materials, 10(1). https://doi.org/10.1038/s41524-024-01319-1

Vizoso, D., & Dingreville, R. (2024). Dataset of simulated vibrational density of states and X-ray diffraction profiles of mechanically deformed and disordered atomic structures in Gold, Iron, Magnesium, and Silicon. Data in Brief, 55(1). 10.1016/j.dib.2024.110689

Startt, J.K., McCarthy, M.J., Wood, M.A., Donegan, S., & Dingreville, R. (2024). Multi-objective Bayesian optimization of complex, concentrated alloys [Conference Presentation]. 10.2172/2584805

Dorman, K.R., Bianco, N.R., Kothari, R.S., Kalaswad, M., Sobczak, C.E., Desai, S., Custer, J.O., Addamane, S.J., Jain, M., Hinojos, A., Delrio, F.W., Boyce, B.L., Dingreville, R., & Adams, D.P. (2024). Combinatorial synthesis and high-throughput characterization of Cu-Ag and Ni-Pt thin films fabricated by confocal magnetron sputter deposition [Conference Presentation]. 10.2172/2566677

Dorman, K.R., Kothari, R., Bianco, N.R., Kalaswad, M., Sobczak, C.E., Desai, S., Custer, J.O., Addamane, S.J., Jain, M., Hinojos, A., Delrio, F.W., Boyce, B.L., Dingreville, R., & Adams, D.P. (2024). Combinatorial synthesis and high-throughput characterization of Ni-Pt and Cu-Ag thin films fabricated by confocal magnetron sputter deposition [Conference Presentation]. 10.2172/2563825

Dorman, K.R., Kothari, R.S., Bianco, N.R., Kalaswad, M., Sobczak, C.E., Dingreville, R., & Adams, D.P. (2024). On the utility of SiMTra analysis for forecasting atomistics of confocal deposition of bimetal alloys [Conference Poster]. 10.2172/2566680

Dingreville, R. (2024). The Jump to Big Data in Materials Informatics [Conference Poster]. 10.2172/2563862

Dingreville, R., Boyce, B.L., & Lebrun, T.C. (2024). MIMOSA Multi-modal Surveillance & Aging : Application to creep under STS in additive components [Conference Presentation]. 10.2172/2563963

Dingreville, R., Wixom, R.R., Khan, R.M., Delrio, F.W., Riedo, E., Rejhon, M., & Li, Y. (2024). Probing the Mechanical Properties of 2D Materials via Atomic-Force-Microscopy-Based Modulated Nanoindentation. Small Methods, 8(3). https://doi.org/10.1002/smtd.202301043

Dingreville, R., Khan, R.M., Natinsky, E., & Cullinan, M. (2024). Reconstruction of high-resolution atomic force microscopy measurements from fast-scan data using a Noise2Noise algorithm. Measurement, 227(C). https://doi.org/10.1016/j.measurement.2024.114263

Minh Pham, A., Koslowski, M., Monti, J.M., Dingreville, R., & Damm, D.L. (2024). Phase Field Simulations of Thermal Aging of PETN Thin Films [Conference Presentation]. 10.2172/2540339

Merrill, L.C., Startt, J.K., & Dingreville, R. (2024). Lithiophilic Coatings in Lithium Metal Batteries and Their Effect on Lithium Growth and Cycling [Conference Presentation]. 10.2172/2540283

Dingreville, R., Roberts, S.A., Creveling, P.J., & Shin, D. (2024). Thermal Conductivity Homogenization of Composites via Deep Material Network [Conference Presentation]. 10.2172/2540335

Hinojos, A., Britton, D., Hummel, M., Adams, D.P., Dingreville, R., & Medlin, D.L. (2024). Grain Boundaries their Twins and their Intersections [Conference Presentation]. 10.2172/2540381

Jain, M., Barrios, A., Hinojos, A., Vizoso, D., Dingreville, R., Adams, D.P., Pierron, O., & Boyce, B.L. (2024). Improved high-cycle fatigue behavior of nanocrystalline Pt-Au thin-films demonstrated using a MEMS based microresonator [Conference Presentation]. 10.2172/2585003

Medlin, D.L., Chen, E.Y., Nathaniel, J.E., Dingreville, R., & Carter, C.B. (2024). Extending Grain Boundary Dislocation Models to Facet Junctions [Conference Poster]. 10.2172/2540458

Barrios Santos, A.J., Nathaniel, J.E., Monti, J.M., Hattar, K., Medlin, D.L., Dingreville, R., & Boyce, B.L. (2024). Development and Characterization of Gradient Nanostructured Metals via Compositional Means [Conference Presentation]. 10.2172/2584798

Khan, R.M., Vizoso, D., Delrio, F.W., & Dingreville, R. (2024). The transverse stiffness and the role of inter-layer water in Ti3C2Tx MXenes using sub-angstrom resolution modulated nanoindentation [Conference Presentation]. 10.2172/2540333

Dingreville, R., Medlin, D.L., Spearot, D.E., & Fernandez, M.E. (2024). The Effect of Grain Boundary Facet Junctions on Segregation and Embrittlement. Acta Materialia, 269(1). 10.1016/j.actamat.2024.119805

Tsao, J.Y., Abbott, R.G., Crowder, D.C., Desai, S., Dingreville, R., Fowler, J.E., Garland, A., Murdock, J.M., Steinmetz, S., Yarritu, K.A., Johnson, C.M., Stracuzzi, D.J., & Padmanabha Iyer, P. (2024). AI for Technoscientific Discovery: A Human-Inspired Architecture. Journal of Creativity (Online), 34(2). https://doi.org/10.1016/j.yjoc.2024.100077

Dingreville, R., Brener, I., Addamane, S.J., Padmanabha Iyer, P., & Desai, S. (2023). Self-driving lab framework for interpretable scientific discovery [Conference Paper]. https://www.osti.gov/biblio/2584956

Dingreville, R., Shin, D., Alberdi, R., & Lebensohn, R.A. (2023). Deep material network via a quilting strategy: visualization for explainability and recursive training for improved accuracy. npj Computational Materials, 9(1). 10.1038/s41524-023-01085-6

Dingreville, R., Desai, S., Shrivastava, A., Najm, H.N., & D'Elia, M. (2023). Trade-offs in the latent representation of microstructure evolution. Acta Materialia, 263(1). https://doi.org/10.1016/j.actamat.2023.119514

Dingreville, R., Boyce, B.L., & Hu, C. (2023). Computational modeling of grain boundary segregation: A review. Computational Materials Science, 232(1). 10.1016/j.commatsci.2023.112596

Dingreville, R., Francis, N.M., Pourahmadian, F., & Lebensohn, R.A. (2023). A fast Fourier transform-based solver for elastic micropolar composites. Computer Methods in Applied Mechanics and Engineering, 418. 10.1016/j.cma.2023.116510

Dingreville, R., Startt, J.K., Elmslie, T.A., Yang, Y., Soto-Medina, S., Zappala, E., Meisel, M.W., Manuel, M.V., Frandsen, B.A., & Hamlin, J.J. (2023). Tuning the magnetic properties of the CrMnFeCoNi Cantor alloy. Physical Review. B, 108(9). 10.1103/physrevb.108.094437

Lebensohn, R., Alberdi, R., Shin, D., & Dingreville, R. (2023). Visualization of the Deep Material Network with Recursive Training [Conference Presentation]. 10.2172/2463050

Dingreville, R., Shin, D., Alberdi, R., & Lebensohn, R. (2023). Predicting the thermo-elasto-plastic response of composites using the Deep Material Network [Conference Presentation]. 10.2172/2463055

Dingreville, R. (2023). Proposed benchmark problem for machine-learning in phase field [Conference Presentation]. 10.2172/2430402

Hu, C., Dingreville, R., & Boyce, B.L. (2023). Computational modeling of grain boundary segregation [Conference Presentation]. 10.2172/2584812

Vizoso, D., Dingreville, R., & Deo, C. (2023). Stability of Radiation-Induced Phase Transformations in Nanostructures [Conference Presentation]. 10.2172/2430689

Monti, J.M., Stewart, J.A., Damm, D.L., & Dingreville, R. (2023). Phase-Field Modeling of Aging of Energetic Thin Films [Conference Presentation]. https://doi.org/10.2172/2430957

Monti, J.M., Stewart, J.A., Damm, D.L., & Dingreville, R. (2023). Phase-Field Modeling of Aging of Energetic Thin Films [Conference Presentation]. 10.2172/2432014

Schroeder, B.B., san Marchi, C., Dingreville, R., & Ronevich, J. (2023). Probabilistic Fracture Mechanics Toolkit for Hydrogen Blends in Natural Gas Infrastructure [Conference Presentation]. 10.2172/2431180

Boyce, B.L., Dingreville, R., Desai, S., Walker, E., Shilt, T., Bassett, K.L., Wixom, R.R., Stebner, A.P., Arroyave, R., Hattrick-Simpers, J., & Warren, J.A. (2023). Machine learning for materials science: Barriers to broader adoption. Matter, 6(5), pp. 1320-1323. 10.1016/j.matt.2023.03.028

Kalaswad, M., Custer, J.O., Addamane, S.J., Khan, R.M., Jauregui, L., Babuska, T.F., Henriksen, A., Delrio, F.W., Dingreville, R., & Adams, D.P. (2023). Sputter-Deposited Mo Thin Films: Multimodal Characterization of Structure, Surface Morphology, Density, Residual Stress, Electrical Resistivity, and Mechanical Response. Integrating Materials and Manufacturing Innovation, 12(2). 10.1007/s40192-023-00297-4

Barrios Santos, A.J., Nathaniel, J.E., Monti, J.M., Milne, Z., Adams, D.P., Hattar, K., Medlin, D.L., Dingreville, R., & Boyce, B.L. (2023). Gradient nanostructuring via compositional means. Acta Materialia, 247. 10.1016/j.actamat.2023.118733

Shin, D., Alberdi, R., Lebensohn, R., & Dingreville, R. (2023). Recursive Training for Deep Material Network and the Prediction of the Elastic-Plastic Behavior of Heterogeneous Microstructures [Conference Presentation]. 10.2172/2431550

Dingreville, R., Hu, C., Medlin, D.L., & Berbenni, S. (2023). Discontinuous segregation patterning across disconnections. Acta Materialia, 246(-). https://doi.org/10.1016/j.actamat.2023.118724

Schoell, R., Barr, C.M., Medlin, D.L., Adams, D.P., Mahmood, Y., Dingreville, R., Abdeljawad, F., Boyce, B.L., & Hattar, K. (2023). Radiation Instability of Thermally Stable Nanocrystalline Pt-Au System [Conference Presentation]. 10.2172/2431773

McCarthy, M.J., Startt, J.K., Dingreville, R., Thompson, A.P., & Wood, M.A. (2023). Investigating the influence of local composition on properties in complex alloys using machine learned interatomic potentials [Conference Presentation]. 10.2172/2431768

Hu, C., Dingreville, R., Medlin, D.L., & Berbenni, S. (2023). Discontinuous Segregation Patterning across Disconnections [Conference Presentation]. 10.2172/2431681

Miller, P.R., Luk, T.S., & Dingreville, R. (2023). Photocatalytic degradation of volatile organic compounds using Au plasmonic nano-islands on TiO2 [Conference Poster]. 10.2172/2431927

Desai, S., Shrivastava, A., D'Elia, M., Najm, H.N., & Dingreville, R. (2023). Latent dimension representations of microstructure evolution [Conference Presentation]. 10.2172/2431665

Dingreville, R., Boyce, B.L., & Chen, E.Y. (2023). The Heterogeneous Nature
 of Mechanically Accelerated Grain Growth [Conference Presentation]. 10.2172/2431703

Startt, J.K., McCarthy, M.J., Wood, M.A., Dingreville, R., & Donegan, S. (2023). Discovery and Optimization of Complex, Concentrated Alloys via Multi-Objective Bayesian Optimization and Multi-Scale Modeling [Conference Presentation]. 10.2172/2584819

McCarthy, M.J., Startt, J.K., Dingreville, R., Thompson, A.P., & Wood, M.A. (2023). Training machine-learned interatomic potentials for chemical complexity - application to refractory CCAs [Conference Presentation]. 10.2172/2431658