A review on machine learning-guided design of energy materials
The development and design of energy materials are essential for improving the efficiency,
sustainability, and durability of energy systems to address climate change issues. However …
sustainability, and durability of energy systems to address climate change issues. However …
Quantum annealing-assisted lattice optimization
Abstract High Entropy Alloys (HEAs) have drawn great interest due to their exceptional
properties compared to conventional materials. The configuration of HEA system is …
properties compared to conventional materials. The configuration of HEA system is …
Conformal antireflective multilayers for high‐numerical‐aperture deep‐ultraviolet lenses
Precise surface reflectance control at specific deep‐ultraviolet (DUV) wavelengths across
wide angles is crucial for semiconductor inspection and lithography tools. The inherent …
wide angles is crucial for semiconductor inspection and lithography tools. The inherent …
Quantum-inspired genetic algorithm for designing planar multilayer photonic structure
Quantum algorithms are emerging tools in the design of functional materials due to their
powerful solution space search capability. How to balance the high price of quantum …
powerful solution space search capability. How to balance the high price of quantum …
Harnessing quantum power: Revolutionizing materials design through advanced quantum computation
Z Guo, R Li, X He, J Guo, S Ju - Materials Genome Engineering …, 2024 - Wiley Online Library
The design of advanced materials for applications in areas of photovoltaics, energy storage,
and structural engineering has made significant strides. However, the rapid proliferation of …
and structural engineering has made significant strides. However, the rapid proliferation of …
Ultrathin Ge-YF3 antireflective coating with 0.5 % reflectivity on high-index substrate for long-wavelength infrared cameras
Achieving long-wavelength infrared (LWIR) cameras with high sensitivity and shorter
exposure times faces challenges due to series reflections from high-refractive index lenses …
exposure times faces challenges due to series reflections from high-refractive index lenses …
Performance Analysis of an Optimization Algorithm for Metamaterial Design on the Integrated High-Performance Computing and Quantum Systems
Optimizing metamaterials with complex geometries is a big challenge. Although an active
learning algorithm, combining machine learning (ML), quantum computing, and optical …
learning algorithm, combining machine learning (ML), quantum computing, and optical …
Simulations of Quantum Approximate Optimization Algorithm on HPC-QC Integrated Systems
S Kim, IS Suh - … on Quantum Computing and Engineering (QCE …, 2024 - ieeexplore.ieee.org
The Quantum Approximate Optimization Algorithm (QAOA) has emerged as a promising tool
for accelerating optimization processes in the Noisy Intermediate-Scale Quantum (NISQ) …
for accelerating optimization processes in the Noisy Intermediate-Scale Quantum (NISQ) …
[PDF][PDF] Active Learning for Metamaterial Optimization on HPC and QC Integrated Systems
Active learning algorithms, integrating machine learning, quantum computing and optics
simulation in an iterative loop, offer a promising approach to optimizing metamaterials …
simulation in an iterative loop, offer a promising approach to optimizing metamaterials …