特集企画の投稿募集

■ Special issue: ISIMP 2025―Integrated Computer Simulation and Data-Driven Approaches for Materials and Process Engineering

From novel materials discovery to industrial-scale manufacturing, one of the most critical and time-consuming challenges lies in bridging the gap between lab-scale experimentation and commercial-scale production. To accelerate this transition, it is important to understand and optimize the underlying process-structure-property relationships of materials through both computational simulations and advanced experimental techniques.
　This special issue aims to bring together interdisciplinary research that leverages multi-scale simulations, data-driven methodologies, and experimental validation to describe and predict material behavior during processing. While traditional continuum mechanics models have long been used to simulate manufacturing conditions, recent advances highlight the importance of microstructural evolution modeling across nano to macro scales as a key enabler of performance prediction and process optimization.
　We invite contributions that incorporate physics-based modeling, integrated characterization, and AI/ML-enhanced simulation and optimization techniques, applied to a wide spectrum of materials and processes. Relevant research may span atomistic simulations to macroscopic analysis, data-driven inverse design, high-throughput experimentation, process monitoring, and intelligent control systems. Studies focusing on materials informatics, digital twins, smart manufacturing, and closed-loop materials design are particularly encouraged.

Topics:
Density Functional Theory, Molecular Dynamics, Dislocation Dynamics, Phase Field Modeling, Crystal Plasticity, Finite Element Simulation, Multi-scale Materials Modeling, Multi-scale Materials Characterization, Advanced Characterization and In-situ Analysis, Process-structure-property Relationship, Design of Experiments, Metal processing: Severe plastic deformation, Superplasticity, Metal 3D printing, Thermo-mechanical processing, Machine Learning and Artificial Intelligence, Digital Twin and Smart Manufacturing Systems, High-throughput Experiments and Data-driven Optimization, Autonomous experimentation, closed-loop optimization, self-driving laboratories

上記テーマに関する特集を、Materials Transactions 67巻12号(2026年12月発行)に予定しております。多数ご投稿下さいますようお願いいたします。

掲載予定号：第67巻第12号(2026年)
原稿締切日：2026年6月1日(月)

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