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Vol 2, Issue 2 (2023)
Journal of Artificial Intelligence for Materials Science
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Vol 2, Issue 2 (2023)
The Cost of Early Convergence in AI-Guided Materials Search
Lucas Meyer, Anna Schmid & Stefan Braun
Original Research
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Open access
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18 July 2023
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Article: 24
Materials AI as Policy Actor: A Conceptual Framework for Downstream Decision Impact
Maria Hernandez, Carlos Vega & Lucia Torres
Original Research
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Open access
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18 July 2023
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Article: 25
Generative Models for Materials Science — Conceptual Capabilities and Scientific Limits: A Review Study
Laura Meier, Daniel Fischer, Thomas Braun & Stefan Koch
Review
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Open access
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18 July 2023
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Article: 26
Multi-Model and Hybrid AI Systems in Materials Research — Architectures and Trade-Offs
Nguyen Thanh Huy, Le Thi Bich & Pham Quang Minh
Review
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Open access
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18 July 2023
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Article: 27
Scientific Decision-Making with Materials AI — How Models Actually Influence Action: A Review Study
Bruno Martins & Lucas Pereira
Review
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Open access
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18 July 2023
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Article: 28
Failure Case Reporting in Materials Informatics — What Is Documented and What Is Silenced
Ahmed Mansour, Omar Saeed & Lina Hassan
Review
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Open access
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18 July 2023
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Article: 29
Ensemble Methods in Materials AI — Why Models Disagree and What It Means Scientifically
Claire Martin, Julien Robert & Sophie Bernard
Review
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Open access
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18 July 2023
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Article: 30
Temporal Generalization in Materials AI — What We Know About Model Aging and Drift
Ravi Menon, Arjun Nair, Meera Pillai & Suresh Varma
Review
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Open access
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18 July 2023
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Article: 31
Deep Generative Models for Designing High-Entropy Alloys with Targeted Mechanical Properties
Daniel Brooks, Amelia Carter & Ethan Moore
Original Research
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Open access
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18 July 2023
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Article: 32
Physics-Constrained Neural Networks for Predicting Phase Transformation Pathways in Multi-Component Alloys
Wei Chen, Li Zhang & Rui Zhao
Original Research
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Open access
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18 July 2023
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Article: 33
Active Learning-Driven Bayesian Optimization of Catalytic Nanoparticles for CO₂ Reduction
Hiroshi Tanaka, Yuki Sato, Kenji Mori & Rina Okabe
Original Research
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Open access
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18 July 2023
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Article: 34
Graph Neural Networks for Predicting Defect Formation Energies in 2D Materials
Lucas Meyer & Anna Schmid
Original Research
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Open access
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18 July 2023
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Article: 35
Self-Supervised Representation Learning of Microstructures from Electron Microscopy for Property Prediction
Maria Hernandez & Carlos Vega
Original Research
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Open access
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18 July 2023
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Article: 36
A Theory of Justifiable Abstraction in Multi-Scale Materials AI
Oliver Grant, David Clark & Sophia Nguyen
Original Research
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Open access
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18 July 2023
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Article: 113
The Problem of Scientific Teleology in Goal-Directed Materials Optimization
Jinwoo Park, Minji Kim & Seung Lee
Original Research
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Open access
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18 July 2023
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Article: 114
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