Faculty Profiles

Bora, A. (2026, January 24). HeatEnergyDecay: Lean 4 proof of energy decay for linear heat-type flows. https://doi.org/https://doi.org/10.5281/zenodo.18362473

Khodakarami, S., Oommen, V., Bora, A., & Karniadakis, G. E. (2026). Mitigating spectral bias in neural operators via high-frequency scaling for physical systems. Neural Networks, 193, 108027. https://doi.org/10.1016/j.neunet.2025.108027

Oommen, V., Bora, A., Zhang, Z., & Karniadakis, G. E. (2025). Integrating neural operators with diffusion models improves spectral representation in turbulence modelling. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 481(2309). https://doi.org/10.1098/rspa.2024.0819

Wei, J., Bora, A., Oommen, V., Dong, C., Yang, J., Adie, J., … Mengaldo, G. (2025). XAI4EXTREMES: AN INTERPRETABLE MACHINE LEARNING FRAMEWORK FOR UNDERSTANDING EXTREME-WEATHER PRECURSORS UNDER CLIMATE CHANGE. Retrieved from https://www.climatechange.ai/papers/iclr2025/35

Zhang, S., Leung, L. R., Harrop, B. E., Bora, A., Karniadakis, G., Shukla, K., & Zhang, K. (2025). Improving Thermodynamic Nudging in the E3SM Atmosphere Model Version 2 (EAMv2): Strategy and Hindcast Skills on Weather Systems. Copernicus GmbH. https://doi.org/10.5194/egusphere-2025-4277

Zhang, S., Leung, L. R., Harrop, B. E., Bora, A., Karniadakis, G., Shukla, K., & Zhang, K. (2025). Improving Thermodynamic Nudging in the E3SM Atmosphere Model Version 2 (EAMv2): Strategy and Hindcast Skills on Weather Systems. Copernicus GmbH. https://doi.org/10.5194/egusphere-2025-4277

Oommen, V., Khodakarami, S., Bora, A., Wang, Z., & Karniadakis, G. (n.d.). Learning turbulent flows with generative models: Super-resolution, forecasting, and sparse flow reconstruction. Nature Communication.

Rezaei, F., Dai, W., Davani, S., & Bora, A. (2025). A physics-informed neural network method for thermal analysis in laser-irradiated 3D skin tissues with embedded vasculature, tumor and gold nanorods. International Journal of Heat and Mass Transfer, 245, 126980. https://doi.org/10.1016/j.ijheatmasstransfer.2025.126980

Jin, H., Zhang, B., Cao, Q., Zhang, E., Bora, A., Krishnaswamy, S., … Espinosa, H. D. (2025). Characterization and Inverse Design of Stochastic Mechanical Metamaterials Using Neural Operators. Advanced Materials, 37(29). https://doi.org/10.1002/adma.202420063

Jin, H., Zhang, B., Cao, Q., Zhang, E., Bora, A., Krishnaswamy, S., … Espinosa, H. D. (2025). Characterization and Inverse Design of Stochastic Mechanical Metamaterials Using Neural Operators (Adv. Mater. 29/2025). Advanced Materials, 37(29). https://doi.org/10.1002/adma.202570198

Finch, L., Dai, W., & Bora, A. (2025). An Artificial Neural Network Method for Simulating Soliton Propagation Based on the Rosenau-KdV-RLW Equation on Unbounded Domains. Mathematics, 13(7), 1036. https://doi.org/10.3390/math13071036

Goswami, S., Bora, A., Yu, Y., & Karniadakis, G. E. (2023). Physics-Informed Deep Neural Operator Networks. In Computational Methods in Engineering & the Sciences (pp. 219–254). Springer International Publishing. https://doi.org/10.1007/978-3-031-36644-4_6

Bora, A., Shukla, K., Zhang, S., Harrop, B., Leung, R., & Karniadakis, G. (2023). Learning bias corrections for climate models using deep neural operators.

Bora, A., Dai, W., Wilson, J. P., Boyt, J. C., & Sobolev, S. L. (2022). Neural network method for solving nonlocal two-temperature nanoscale heat conduction in gold films exposed to ultrashort-pulsed lasers. International Journal of Heat and Mass Transfer, 190, 122791. https://doi.org/10.1016/j.ijheatmasstransfer.2022.122791

Wilson, J. P., Dai, W., Bora, A., & Boyt, J. C. (2022). A New Artificial Neural Network Method for Solving Schrödinger Equations on Unbounded Domains. Communications in Computational Physics, 32(4), 1039–1060. https://doi.org/10.4208/cicp.oa-2022-0135

Bora, A., Dai, W., Wilson, J. P., & Boyt, J. C. (2021). Neural network method for solving parabolic two-temperature microscale heat conduction in double-layered thin films exposed to ultrashort-pulsed lasers. International Journal of Heat and Mass Transfer, 178, 121616. https://doi.org/10.1016/j.ijheatmasstransfer.2021.121616

Bora, A., & Dai, W. (2020). Gradient preserved method for solving heat conduction equation with variable coefficients in double layers. Applied Mathematics and Computation, 386, 125516. https://doi.org/10.1016/j.amc.2020.125516