Saved in:
| Main Authors: | Seurin, Paul, Price, Dean |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2601.20079 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Techno-economic optimization of a heat-pipe microreactor, part I: theory and cost optimization
by: Seurin, Paul, et al.
Published: (2025)
by: Seurin, Paul, et al.
Published: (2025)
Surpassing legacy approaches to PWR core reload optimization with single-objective Reinforcement learning
by: Seurin, Paul, et al.
Published: (2024)
by: Seurin, Paul, et al.
Published: (2024)
MAEO: Multiobjective Animorphic Ensemble Optimization for Scalable Large-scale Engineering Applications
by: Erdem, Omer F., et al.
Published: (2026)
by: Erdem, Omer F., et al.
Published: (2026)
Multi-Objective Reinforcement Learning-based Approach for Pressurized Water Reactor Optimization
by: Seurin, Paul, et al.
Published: (2023)
by: Seurin, Paul, et al.
Published: (2023)
pared: Model selection using multi-objective optimization
by: Das, Priyam, et al.
Published: (2025)
by: Das, Priyam, et al.
Published: (2025)
A Kaczmarz-inspired approach to accelerate the optimization of neural network wavefunctions
by: Goldshlager, Gil, et al.
Published: (2024)
by: Goldshlager, Gil, et al.
Published: (2024)
Benchmarking symbolic regression constant optimization schemes
by: Reis, L. G. A dos, et al.
Published: (2024)
by: Reis, L. G. A dos, et al.
Published: (2024)
Bilevel optimization for learning hyperparameters: Application to solving PDEs and inverse problems with Gaussian processes
by: Nelsen, Nicholas H., et al.
Published: (2025)
by: Nelsen, Nicholas H., et al.
Published: (2025)
FGM optimization in complex domains using Gaussian process regression based profile generation algorithm
by: Konda, Chaitanya Kumar, et al.
Published: (2025)
by: Konda, Chaitanya Kumar, et al.
Published: (2025)
Towards best practices in low-dimensional semi-supervised latent Bayesian optimization for the design of antimicrobial peptides
by: Menard, Jyler, et al.
Published: (2025)
by: Menard, Jyler, et al.
Published: (2025)
A proof-of-concept for automated AI-driven stellarator coil optimization with in-the-loop finite-element calculations
by: Kaptanoglu, Alan A., et al.
Published: (2026)
by: Kaptanoglu, Alan A., et al.
Published: (2026)
Enabling ab initio geometry optimization of strongly correlated systems with transferable deep quantum Monte Carlo
by: Szabó, P. Bernát, et al.
Published: (2026)
by: Szabó, P. Bernát, et al.
Published: (2026)
Enhancing predictive capabilities in fusion burning plasmas through surrogate-based optimization in core transport solvers
by: Rodriguez-Fernandez, P., et al.
Published: (2023)
by: Rodriguez-Fernandez, P., et al.
Published: (2023)
DeepF-fNet: a physics-informed neural network for vibration isolation optimization
by: Tollardo, A., et al.
Published: (2024)
by: Tollardo, A., et al.
Published: (2024)
Learning optimal integration of spatial and temporal information in noisy chemotaxis
by: Alonso, Albert, et al.
Published: (2023)
by: Alonso, Albert, et al.
Published: (2023)
Quantum approximate optimization via learning-based adaptive optimization
by: Cheng, Lixue, et al.
Published: (2023)
by: Cheng, Lixue, et al.
Published: (2023)
REFA: Reference Free Alignment for multi-preference optimization
by: Gupta, Taneesh, et al.
Published: (2024)
by: Gupta, Taneesh, et al.
Published: (2024)
Generalized Lanczos method for systematic optimization of neural-network quantum states
by: Wang, Jia-Qi, et al.
Published: (2025)
by: Wang, Jia-Qi, et al.
Published: (2025)
Unveiling the optimization process of Physics Informed Neural Networks: How accurate and competitive can PINNs be?
by: Urbán, Jorge F., et al.
Published: (2024)
by: Urbán, Jorge F., et al.
Published: (2024)
AUGUR, A flexible and efficient optimization algorithm for identification of optimal adsorption sites
by: Kouroudis, Ioannis, et al.
Published: (2024)
by: Kouroudis, Ioannis, et al.
Published: (2024)
Block removal for large language models through constrained binary optimization
by: Jansen, David, et al.
Published: (2026)
by: Jansen, David, et al.
Published: (2026)
A supplemental investigation of non-linearity in quantum generative models with respect to simulatability and optimization
by: Gili, Kaitlin, et al.
Published: (2023)
by: Gili, Kaitlin, et al.
Published: (2023)
Physics-based Digital Twins for Integrated Thermal Energy Systems Using Active Learning
by: Nabila, Umme Mahbuba, et al.
Published: (2026)
by: Nabila, Umme Mahbuba, et al.
Published: (2026)
Learning stochastic dynamics from snapshots through regularized unbalanced optimal transport
by: Zhang, Zhenyi, et al.
Published: (2024)
by: Zhang, Zhenyi, et al.
Published: (2024)
An information-matching approach to optimal experimental design and active learning
by: Kurniawan, Yonatan, et al.
Published: (2024)
by: Kurniawan, Yonatan, et al.
Published: (2024)
Unlearning as multi-task optimization: A normalized gradient difference approach with an adaptive learning rate
by: Bu, Zhiqi, et al.
Published: (2024)
by: Bu, Zhiqi, et al.
Published: (2024)
Human-level molecular optimization driven by mol-gene evolution
by: Fang, Jiebin, et al.
Published: (2024)
by: Fang, Jiebin, et al.
Published: (2024)
Attention-based optimizer for symmetry finding
by: Banerjee, Shreya, et al.
Published: (2026)
by: Banerjee, Shreya, et al.
Published: (2026)
Surrogate-guided optimization in quantum networks
by: Prielinger, Luise, et al.
Published: (2024)
by: Prielinger, Luise, et al.
Published: (2024)
Robustly optimal dynamics for active matter reservoir computing
by: Gaimann, Mario U., et al.
Published: (2025)
by: Gaimann, Mario U., et al.
Published: (2025)
Process-constrained batch Bayesian approaches for yield optimization in multi-reactor systems
by: Grimm, Markus, et al.
Published: (2024)
by: Grimm, Markus, et al.
Published: (2024)
Regularized infill criteria for multi-objective Bayesian optimization with application to aircraft design
by: Grapin, Robin, et al.
Published: (2025)
by: Grapin, Robin, et al.
Published: (2025)
Continuous optimization by quantum adaptive distribution search
by: Morimoto, Kohei, et al.
Published: (2023)
by: Morimoto, Kohei, et al.
Published: (2023)
Conservative quantum offline model-based optimization
by: Sotirov, Kristian, et al.
Published: (2025)
by: Sotirov, Kristian, et al.
Published: (2025)
Globally aware optimization with resurgence
by: Bu, Wei
Published: (2025)
by: Bu, Wei
Published: (2025)
Quantum feature encoding optimization
by: Fioravanti, Tommaso, et al.
Published: (2025)
by: Fioravanti, Tommaso, et al.
Published: (2025)
A comparison between black-, grey- and white-box modeling for the bidirectional Raman amplifier optimization
by: Yankov, Metodi P., et al.
Published: (2023)
by: Yankov, Metodi P., et al.
Published: (2023)
Differentiable and accelerated spherical harmonic and Wigner transforms
by: Price, Matthew A., et al.
Published: (2023)
by: Price, Matthew A., et al.
Published: (2023)
Stress and heat flux via automatic differentiation
by: Langer, Marcel F., et al.
Published: (2023)
by: Langer, Marcel F., et al.
Published: (2023)
A stochastic gradient method for trilevel optimization
by: Giovannelli, Tommaso, et al.
Published: (2025)
by: Giovannelli, Tommaso, et al.
Published: (2025)
Similar Items
-
Techno-economic optimization of a heat-pipe microreactor, part I: theory and cost optimization
by: Seurin, Paul, et al.
Published: (2025) -
Surpassing legacy approaches to PWR core reload optimization with single-objective Reinforcement learning
by: Seurin, Paul, et al.
Published: (2024) -
MAEO: Multiobjective Animorphic Ensemble Optimization for Scalable Large-scale Engineering Applications
by: Erdem, Omer F., et al.
Published: (2026) -
Multi-Objective Reinforcement Learning-based Approach for Pressurized Water Reactor Optimization
by: Seurin, Paul, et al.
Published: (2023) -
pared: Model selection using multi-objective optimization
by: Das, Priyam, et al.
Published: (2025)