Cover Image

Bgolearn: a Unified Bayesian Optimization Framework for Accelerating Materials Discovery

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Cao, Bin, Xiong, Jie, Ma, Jiaxuan, Tian, Yuan, Hu, Yirui, He, Mengwei, Zhang, Longhan, Wang, Jiayu, Hui, Jian, Liu, Li, Xue, Dezhen, Lookman, Turab, Zhang, Tong-Yi
Format:	Preprint
Published:	2026
Subjects:	Materials Science
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Materials Informatics: Emergence To Autonomous Discovery In The Age Of AI
by: Lookman, Turab, et al.
Published: (2026)

Materials Informatics: Emergence to Autonomous Discovery in the Age of AI
by: Turab Lookman, et al.
Published: (2026)

Materials Informatics: Emergence to Autonomous Discovery in the Age of AI (Adv. Mater. 29/2026)
by: Turab Lookman, et al.
Published: (2026)

Interpretable Machine Learning Applications: A Promising Prospect of AI for Materials
by: Xue Jiang, et al.
Published: (2025)

Role of octahedral tilting induced acoustic softening on limiting thermal transport in SrSnO3
by: Hao, Yuzhou, et al.
Published: (2026)

LLM-driven discovery for carbon allotropes with bond-network entropy
by: Hao, Yuzhou, et al.
Published: (2026)

Accelerating Catalyst Materials Discovery With Large Artificial Intelligence Models
by: Di Zhang, et al.
Published: (2026)

Accelerating Catalyst Materials Discovery With Large Artificial Intelligence Models
by: Di Zhang, et al.
Published: (2026)

KAN-Enhanced Contrastive Learning Accelerating Crystal Structure Identification from XRD Patterns
by: Xu, Chenlei, et al.
Published: (2025)

Enhanced Predictive Capability for Chaotic Dynamics by Modified Quantum Reservoir Computing
by: Wang, Longhan, et al.
Published: (2025)

Semantic Embeddings of Chemical Elements for Enhanced Materials Inference and Discovery
by: Jia, Yunze, et al.
Published: (2025)

Semantic Embeddings of Chemical Elements for Enhanced Materials Inference and Discovery
by: Yunze Jia, et al.
Published: (2026)

Invariant stability conditions on local $\mathbb{P}^1\times \mathbb{P}^1$ (after Del Monte-Longhi)
by: Xiong, Yirui
Published: (2024)

Accelerated Materials Discovery through Cost-Aware Bayesian Optimization of Real-World Indentation Workflows
by: Chawla, Vivek, et al.
Published: (2025)

Same-group element replacement enhances superconductivity in clathrate-like YH4
by: Li, Xuejie, et al.
Published: (2025)

PINK: physical-informed machine learning for lattice thermal conductivity
by: Liu, Yujie, et al.
Published: (2025)

Copper delocalization leads to ultralow thermal conductivity in chalcohalide CuBiSeCl2
by: Hao, Yuzhou, et al.
Published: (2024)

A Comprehensive Survey on Image Signal Processing Approaches for Low-Illumination Image Enhancement
by: Turab, Muhammad
Published: (2025)

Beyond Structure: Invariant Crystal Property Prediction with Pseudo-Particle Ray Diffraction
by: Cao, Bin, et al.
Published: (2025)

Enhanced piezoelectric response at nanoscale vortex structures in ferroelectrics
by: Shi, Xiaowen, et al.
Published: (2023)

Metavalent Bonding-Induced Phonon Hardening and Giant Anharmonicity in BeO
by: Li, Xuejie, et al.
Published: (2025)

Cover Image
by: Liang Gu, et al.
Published: (2024)

Advances in Generative Models for Accelerated Discovery of New Materials
by: Yuan Jiang, et al.
Published: (2026)

Noise‐Aware Active Learning to Develop High‐Temperature Shape Memory Alloys with Large Latent Heat
by: Yuan Tian, et al.
Published: (2024)

Unleashing LLMs in Bayesian Optimization: Preference-Guided Framework for Scientific Discovery
by: Yuan, Xinzhe, et al.
Published: (2026)

Accelerated Discovery of Cryoprotectant Cocktails via Multi-Objective Bayesian Optimization
by: Emerson, Daniel, et al.
Published: (2026)

Efficient Skill Discovery via Regret-Aware Optimization
by: Zhang, He, et al.
Published: (2025)

AI‐Driven Advances in Sustainable Materials for Green Energy: From Innovation to Lifecycle Management
by: Yuehui Xian, et al.
Published: (2025)

Cohen-Macaulay modules and the Bondal-Orlov conjecture
by: Dan, Ananyo, et al.
Published: (2025)

Comparison of Bar Formation Mechanisms. IIIA. The role of classical bulges in spontaneous bar formation
by: Zheng, Yirui, et al.
Published: (2026)

DCatalyst: A Unified Accelerated Framework for Decentralized Optimization
by: Cao, Tianyu, et al.
Published: (2025)

Inside Back Cover: Accelerating Catalyst Materials Discovery With Large Artificial Intelligence Models (Angew. Chem. Int. Ed. 16/2026)
by: Di Zhang, et al.
Published: (2026)

Adaptive Catalyst Discovery Using Multicriteria Bayesian Optimization with Representation Learning
by: Chen, Jie, et al.
Published: (2024)

Phase transition and polar cluster behavior above Curie temperature in ferroelectric BaTi$_{0.8}$Zr$_{0.2}$O$_3$
by: Aktas, Oktay, et al.
Published: (2024)

AI-Driven Accelerated Discovery of Intercalation-type Cathode Materials for Magnesium Batteries
by: Chen, Wenjie, et al.
Published: (2024)

Efficient and Principled Scientific Discovery through Bayesian Optimization: A Tutorial
by: Yu, Zhongwei, et al.
Published: (2026)

Variational Offline Multi-agent Skill Discovery
by: Chen, Jiayu, et al.
Published: (2024)

Forbidden p-d Orbital Coupling Accelerates High-Power-Factor Materials Discovery
by: Xiong, Wu, et al.
Published: (2025)

Second-Order Optimality Conditions for Nonsmooth Constrained Optimization with Applications to Bilevel Programming
by: Liu, Xiang, et al.
Published: (2025)

SkyByte: Architecting an Efficient Memory-Semantic CXL-based SSD with OS and Hardware Co-design
by: Zhang, Haoyang, et al.
Published: (2025)