:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Takahashi, Akira, Kumagai, Yu, Takamatsu, Arata, Oba, Fumiyasu
Format:	Preprint
Published:	2025
Subjects:	Materials Science
Online Access:	https://arxiv.org/abs/2510.17123
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

ZEBRA-Prop: A Zero-Shot Embedding-Based Rapid and Accessible Regression Model for Materials Properties
by: Yamamoto, Ryoma, et al.
Published: (2026)

Inorganic‐Organic Hybrid Crystals Derived from Polyoxovanadate and Ionic‐Liquid toward Promising Conductive Materials
by: Yoshiki Kiyota, et al.
Published: (2024)

Editorial Comment on “Comparative Analysis of Modern Pulse Modulation With MOSES 2.0 and QUANTA 150 Holmium Laser Systems in Laser Enucleation of the Prostate”
by: Fumiyasu Endo
Published: (2026)

Deep Positive-Unlabeled Anomaly Detection for Contaminated Unlabeled Data
by: Takahashi, Hiroshi, et al.
Published: (2024)

Minimization of Functions on Dually Flat Spaces Using Geodesic Descent Based on Dual Connections
by: Omiya, Gaku, et al.
Published: (2025)

A Promising Deep Ultraviolet Nonlinear Optical Crystal Activated by the Ordered Structure Design
by: Haonan Liu, et al.
Published: (2025)

A Promising Deep Ultraviolet Nonlinear Optical Crystal Activated by the Ordered Structure Design
by: Haonan Liu, et al.
Published: (2025)

Machine Learning Approaches to Point Defects in Non-Metallic Materials: A Review of Methods
by: Kumagai, Yu, et al.
Published: (2026)

Unifying Low Dimensional Spectra in Deep Learning
by: Garrod, Connall, et al.
Published: (2024)

Probing the Limit of Heat Transfer in Inorganic Crystals with Deep Learning
by: Li, Jielan, et al.
Published: (2025)

Analysis of Linear Mode Connectivity via Permutation-Based Weight Matching: With Insights into Other Permutation Search Methods
by: Ito, Akira, et al.
Published: (2024)

Machine Learning Prediction of Charged Defect Formation Energies from Crystal Structures
by: Kiyohara, Shin, et al.
Published: (2025)

Sustainable Reuse of FePO4 for Charged‐State Lithium Metal Battery with High Energy Density and Stable Cycle Performance
by: Fumiyasu Nozaki, et al.
Published: (2025)

Two-Dimensional Graphene-like BeO Sheet: A Promising Deep-Ultraviolet Nonlinear Optical Materials System with Strong and Highly Tunable Second Harmonic Generation
by: Liu, Linlin, et al.
Published: (2025)

Autoencoder-Based Detection of Anomalous Stokes V Spectra in the Flare-Producing Active Region 13663 Using Hinode/SP Observations
by: Batmunkh, Jargalmaa, et al.
Published: (2025)

Sparse Modelling for Feature Learning in High Dimensional Data
by: Neelam, Harish, et al.
Published: (2024)

The Impact of Early Postoperative Urinary Incontinence on Presenteeism After Robot‐Assisted Radical Prostatectomy for Prostate Cancer: A Prospective Cohort Study
by: Noriko Nakayama, et al.
Published: (2026)

Intelligent Optical Materials Based on Polymer Dispersed Cholesteric Liquid Crystals
by: Qi Guo, et al.
Published: (2025)

Molecular Crystals Constructed by Polar Molecular Cages: A Promising System for Exploring High‐performance Infrared Nonlinear Optical Crystals
by: Xin Zhao, et al.
Published: (2024)

Fully Data-driven but Interpretable Human Behavioural Modelling with Differentiable Discrete Choice Model
by: Makinoshima, Fumiyasu, et al.
Published: (2024)

Physics-Based Factorized Machine Learning for Predicting Ionic Dielectric Tensors
by: Takigawa, Atsushi, et al.
Published: (2025)

Research on Feature Extraction Data Processing System For MRI of Brain Diseases Based on Computer Deep Learning
by: Xiao, Lingxi, et al.
Published: (2024)

Identification of Likely Methane Absorption Features in the Optical Spectra of Titan
by: Sithajan, Sirinrat, et al.
Published: (2025)

Enantiopurity-Controlled Magnetism in a Two-Dimensional Organic-Inorganic Material
by: Hegel, P. Garrett, et al.
Published: (2026)

High Temperature Raman Spectra of L-Leucine Crystals
by: P. F. Façanha Filho
Published: (2008)

Asymptotic mixed normality of maximum likelihood estimator for Ewens--Pitman partition
by: Koriyama, Takuya, et al.
Published: (2022)

Matrix norm shrinkage estimators and priors
by: Li, Xiao, et al.
Published: (2024)

Dimensional association between ADHD traits and gray matter volume in young adults: A voxel‐based morphometry study
by: Haruka Asaoka, et al.
Published: (2026)

Organic‐Inorganic Hybrid Cuprous‐Based Metal Halides with Unique Two‐Dimensional Crystal Structure for White Light‐Emitting Diodes
by: Xuan Meng, et al.
Published: (2024)

Low‐Dimensional Organic–Inorganic Hybrid Metal Halide with Large Optical Anisotropy
by: Siyu Li, et al.
Published: (2025)

Research on Deep Learning Model of Feature Extraction Based on Convolutional Neural Network
by: Liu, Houze, et al.
Published: (2024)

Unearthing Superior Inorganic UV Second‐Order Nonlinear Optical Materials: A Mineral‐Inspired Method Integrating First‐Principles High‐Throughput Screening and Crystal Engineering
by: Xuehua Dong, et al.
Published: (2024)

Unearthing Superior Inorganic UV Second‐Order Nonlinear Optical Materials: A Mineral‐Inspired Method Integrating First‐Principles High‐Throughput Screening and Crystal Engineering
by: Xuehua Dong, et al.
Published: (2024)

Deep Learning-Based Quantum Transport Simulations in Two-Dimensional Materials
by: Zou, Jijie, et al.
Published: (2025)

Cybersecurity Data Extraction from Common Crawl
by: Mahara, Ashim
Published: (2025)

An Automated Data Mining Framework Using Autoencoders for Feature Extraction and Dimensionality Reduction
by: Liang, Yaxin, et al.
Published: (2024)

Compression Method for Solar Polarization Spectra Collected from Hinode SOT/SP Observations
by: Batmunkh, Jargalmaa, et al.
Published: (2024)

Deep Learning-Assisted Fourier Analysis for High-Efficiency Structural Design: A Case Study on Three-Dimensional Photonic Crystals Enumeration
by: Cui, Congcong, et al.
Published: (2025)

Deep Learning‐Assisted Fourier Analysis for High‐Efficiency Structural Design: A Case Study on Three‐Dimensional Photonic Crystals Enumeration
by: Congcong Cui, et al.
Published: (2026)

Titanium Mxene: A Promising Material for Next‐Generation Optical Biosensors and Machine Learning Integration
by: Athulya Aravind, et al.
Published: (2024)