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Journal of Computational and Data-Driven Materials Engineering
Journal of Computational and Data-Driven Materials Engineering
ISSN: 3149-9368
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Articles

Search without Coverage: Exploration Blind Spots in AI-Guided Materials Discovery
Claire Martin, Julien Robert & Sophie Bernard
Original Research | Open access | 18 September 2023 | Article: 102
Simulation Priors in Machine Learning Materials Models: Hidden Physics Assumptions
Ahmed Mansour & Omar Saeed
Original Research | Open access | 18 September 2023 | Article: 103
The Interpretability–Complexity Paradox in Deep Materials Networks
Bruno Martins, Lucas Pereira & Renata Azevedo
Original Research | Open access | 18 September 2023 | Article: 104
Computational and Data-Driven Materials Engineering: Multimodal Materials Datasets, Integration Frameworks, and Discovery Potential
Maria Gonzalez, Javier Ruiz & Lucia Torres
Review | Open access | 18 September 2023 | Article: 106
Data-Driven Materials Engineering: Inverse Design Strategies, Machine Learning Architectures, and Application Domains
Ahmed El-Kholy, Nour Abdelrahman, Karim Hassan & Mona Saad
Review | Open access | 18 September 2023 | Article: 107
Optimization without Causality: Limits of Correlation-Driven Materials Design
Ravi Kumar, Neha Sharma & Arjun Nair
Original Research | Open access | 18 September 2023 | Article: 101
Algorithmic Novelty vs Chemical Novelty: Rethinking Innovation Metrics
Lucas Andrade & Mariana Lopes
Original Research | Open access | 18 March 2023 | Article: 94
Benchmarking Without Reality: Dataset Construction Bias in Materials Evaluation
Wei Liu & Zhang Min
Original Research | Open access | 18 March 2023 | Article: 95
Compositional Space Is Not Uniform: Density Gradients in Data-Driven Screening
Oliver Grant, Daniel Brooks & Amelia Carter
Original Research | Open access | 18 March 2023 | Article: 96
Cross-Property Entanglement in Multi-Task Materials Learning Systems
Daniel Fischer, Laura Meier, Thomas Braun & Stefan Koch
Original Research | Open access | 18 March 2023 | Article: 97
Discovery Pipelines as Epistemic Filters: What Computational Workflows Exclude
Hiroshi Tanaka, Yuki Sato & Kenji Mori
Original Research | Open access | 18 March 2023 | Article: 98
Feature Engineering as Scientific Framing: Encoding Choices in Materials Informatics
Maria Hernandez & Carlos Vega
Original Research | Open access | 18 March 2023 | Article: 99
Multimodal, Physics-Informed Machine Learning for Accelerated Materials Design and Discovery
Lucas Meyer, Stefan Braun, Anna Schmid & David Keller
Original Research | Open access | 18 March 2023 | Article: 100
Algorithmic Screening Frontiers: How Model Priors Reshape Searchable Materials Space
Nguyen Thanh Huy, Pham Quang Minh & Le Thi Bich
Original Research | Open access | 18 September 2022 | Article: 85
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