:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Do, Bach, Ghalekohneh, Sina Jafari, Adebiyi, Taiwo, Zhao, Bo, Zhang, Ruda
Format:	Preprint
Published:	2024
Subjects:	Materials Science Machine Learning Applied Physics
Online Access:	https://arxiv.org/abs/2409.09192
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Achieving high-performance polarization-independent nonreciprocal thermal radiation with pattern-free heterostructures
by: Do, Bach, et al.
Published: (2025)

Epsilon-Greedy Thompson Sampling to Bayesian Optimization
by: Do, Bach, et al.
Published: (2024)

Optimizing Posterior Samples for Bayesian Optimization via Rootfinding
by: Adebiyi, Taiwo A., et al.
Published: (2024)

Gaussian Process Thompson Sampling via Rootfinding
by: Adebiyi, Taiwo A., et al.
Published: (2024)

Calibrating Scientific Foundation Models with Inference-Time Stochastic Attention
by: Yadav, Akash, et al.
Published: (2026)

Sampling from Gaussian Processes: A Tutorial and Applications in Global Sensitivity Analysis and Optimization
by: Do, Bach, et al.
Published: (2025)

Digital Twins and Civil Engineering Phases: Reorienting Adoption Strategies
by: Adebiyi, Taiwo A., et al.
Published: (2024)

Controlling The Contrast Between Absorptivity and Emissivity in Nonreciprocal Thermal Emitters
by: Ghalekohneh, Sina Jafari, et al.
Published: (2023)

Multi-fidelity Bayesian Optimization: A Review
by: Do, Bach, et al.
Published: (2023)

Deep Learning to Automate Parameter Extraction and Model Fitting of Two-Dimensional Transistors
by: Bennett, Robert K. A., et al.
Published: (2025)

An information-matching approach to optimal experimental design and active learning
by: Kurniawan, Yonatan, et al.
Published: (2024)

Explainable machine learning to enable high-throughput electrical conductivity optimization and discovery of doped conjugated polymers
by: Yoon, Ji Wei, et al.
Published: (2023)

Transfer learning discovery of molecular modulators for perovskite solar cells
by: Yan, Haoming, et al.
Published: (2025)

Fabrication of quantum emitters in aluminium nitride by Al-ion implantation and thermal annealing
by: Hernández, E. Nieto, et al.
Published: (2023)

SciQu: Accelerating Materials Properties Prediction with Automated Literature Mining for Self-Driving Laboratories
by: Babu, Anand
Published: (2024)

Exploring Domain Wall Pinning in Ferroelectrics via Automated High Throughput AFM
by: Barakati, Kamyar, et al.
Published: (2025)

Composable and adaptive design of machine learning interatomic potentials guided by Fisher-information analysis
by: Wang, Weishi, et al.
Published: (2025)

Metal Oxide-based Gas Sensor Array for the VOCs Analysis in Complex Mixtures using Machine Learning
by: Singh, Shivam, et al.
Published: (2023)

Machine learning and atomic layer deposition: predicting saturation times from reactor growth profiles using artificial neural networks
by: Yanguas-Gil, Angel, et al.
Published: (2022)

Cross-Modal Characterization of Thin Film MoS$_2$ Using Generative Models
by: Moses, Isaiah A., et al.
Published: (2025)

Real-time Multi-instrument Autonomous Discovery of Novel Phase-change Memory Materials
by: Lee, Chih-Yu, et al.
Published: (2026)

Machine Learning Based Prediction of Proton Conductivity in Metal-Organic Frameworks
by: Han, Seunghee, et al.
Published: (2024)

Constrained non-negative matrix factorization enabling real-time insights of $\textit{in situ}$ and high-throughput experiments
by: Maffettone, Phillip M., et al.
Published: (2021)

High Cycle S-N curve prediction for Al 7075-T6 alloy using Recurrent Neural Networks (RNNs)
by: Patel, Aryan
Published: (2025)

Design of Resistive Frequency Selective Surface based Radar Absorbing Structure-A Deep Learning Approach
by: Sutrakar, Vijay Kumar, et al.
Published: (2025)

Stable Long-Horizon Spatiotemporal Prediction on Meshes Using Latent Multiscale Recurrent Graph Neural Networks
by: Salesses, Lionel, et al.
Published: (2026)

Harnessing uncertainty when learning through Equilibrium Propagation in neural networks
by: Peters, Jonathan, et al.
Published: (2025)

AI-Driven Discovery of High Performance Polymer Electrodes for Next-Generation Batteries
by: Ganti, Subhash V. S., et al.
Published: (2025)

PICTS: A Novel Deep Reinforcement Learning Approach for Dynamic P-I Control in Scanning Probe Microscopy
by: Wei, Ziwei, et al.
Published: (2025)

Machine Learning Co-pilot for Screening of Organic Molecular Additives for Perovskite Solar Cells
by: Pu, Yang, et al.
Published: (2024)

LEIA: Learned Environment for Interactive Architected Materials
by: Yang, Haiqian, et al.
Published: (2026)

Towards Automated Discovery: A Review of Generative Models, Multimodal Learning and Closed-Loop Workflows in Inverse Materials Design
by: Babu, Anand, et al.
Published: (2026)

Autonomous Reliability Qualification of Ga$_2$O$_3$-based Hydrogen and Temperature Sensors via Safe Active Learning
by: Febba, Davi, et al.
Published: (2026)

Invariant Discovery of Features Across Multiple Length Scales: Applications in Microscopy and Autonomous Materials Characterization
by: Raghavan, Aditya, et al.
Published: (2024)

Active learning of effective Hamiltonian for super-large-scale atomic structures
by: Ma, Xingyue, et al.
Published: (2023)

Active learning for photonic crystals
by: Lopez, Ryan, et al.
Published: (2026)

Health diagnosis and recuperation of aged Li-ion batteries with data analytics and equivalent circuit modeling
by: Made, Riko I, et al.
Published: (2023)

Deep-learning real-time phase retrieval of imperfect diffraction patterns from X-ray free-electron lasers
by: Lee, Sung Yun, et al.
Published: (2024)

Real-time 3D Nanoscale Coherent Imaging via Physics-aware Deep Learning
by: Chan, Henry, et al.
Published: (2020)

AC thermal conductivity as a tool for solution mapping from diffusive to ballistic regime
by: Li, Tao, et al.
Published: (2024)