Institute for Advanced Materials Research Press Institute for Advanced Materials Research Press

Journal of Computational and Data-Driven Materials Engineering
ISSN: 3149-9368
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Vol 3, Issue 2 (2024)


Pretraining on Matter: Conceptual Limits of Foundation Models for Materials Science
Claire Dupont & Julien Martin
Original Research | Open access | 18 September 2024 | Article: 115

Representation Drift in Iterative Materials Learning Systems
Nguyen Thanh Huy, Pham Quang Minh & Le Thi Bich
Original Research | Open access | 18 September 2024 | Article: 116

Scaling Discovery Infrastructures: Computational Resource Allocation in Materials Engineering and Computational Data
Carlos Vega & Maria Hernandez
Original Research | Open access | 18 September 2024 | Article: 117

Transfer Learning Across Materials Classes: Conceptual Boundaries of Reusability
Lucas Meyer, Stefan Braun & Anna Schmid
Original Research | Open access | 18 September 2024 | Article: 118

Foundation Models in Materials Science: Emerging Architectures and Training Paradigms
Hiroshi Tanaka, Yuki Sato, Kenji Mori & Rina Okabe
Original Research | Open access | 18 September 2024 | Article: 119

Knowledge Graphs for Materials Discovery: Data Structuring, Reasoning, and Applications
Maria Hernandez & Carlos Vega
Original Research | Open access | 18 September 2024 | Article: 120

Transfer Learning in Computational Materials Engineering: Techniques and Case Studies
Daniel Fischer, Laura Meier, Thomas Braun & Stefan Koch
Original Research | Open access | 18 September 2024 | Article: 121

The Case against Ignoring Long-Range Interactions in Graph-Based Property Prediction for Polar Crystals
Victor Santos, Rafael Costa & Bruno Teixeira
Original Research | Open access | 18 July 2024 | Article: 33

Perspective: Bridging ML and CALPHAD for Multicomponent Alloy Design β€” A Position on Hybrid Workflows
Emily Johnson, Robert Smith, Laura Brown & Kevin Miller
Original Research | Open access | 18 July 2024 | Article: 34


Self-Consistency Is Not Enough: A Framework for Error-Correcting ML Potentials with On-the-Fly Residual Learning
Siti Rahman, Ahmad Zaki, Nurul Huda, Amir Faisal & Lim Wei
Original Research | Open access | 18 July 2024 | Article: 36

When Long-Range Interactions Break ML Potentials: A Failure Mode Study of Charge-Transfer Sensitivity
Peter Novak & Jana Svoboda
Original Research | Open access | 18 July 2024 | Article: 37

What Does β€œSparsity” Mean in High-Dimensional Materials Design? A Boundary Problem for Active Learning
Luis Herrera, Daniela Rojas & Andres Castro
Original Research | Open access | 18 July 2024 | Article: 38

Theory of Symmetry-Aware Positional Encoding for Large Supercell Simulations with GNNs
Omar Khalid, Sara Nadeem, Bilal Farooq & Hina Saeed
Original Research | Open access | 18 July 2024 | Article: 39

Flawed Assumptions in Uncertainty Quantification for High-Entropy Alloys: A Critique of Ensemble Diversity Metrics
Ivan Petrov, Olga Ivanova & Dmitry Smirnov
Original Research | Open access | 18 July 2024 | Article: 40