Materials Innovations in an Emerging Hydrogen Economy
Bibliographic record
Abstract
Preface ix Acknowledgments xi INTERNATIONAL OVERVIEWS Research Priorities and Progress in Hydrogen Energy Research in the EU 3 Constantina Filiou, Pietro Moretto, and Joaquin Martin-Bermejo Global Perspectives Towards the Establishment of the Hydrogen Economy 17 Jose lgnacio Galindo Materials Issues for Hydrogen R&D in Canada 27 E.E. Andrukaitis and Rod McMillan Overview of U.S. Materials Development Activities for Hydrogen Technologies 39 Ned Stetson and John Petrovic HYDROGEN STORAGE The Hydrogen Storage Behaviour of Pt and Pd Loaded Transition Metal Oxides 51 A. Molendowska, P.J. Hall, and S. Donet Progress of Hydrogen Storage and Container Materials 61 Y.Y. Li and Y.T. Zhang Synthesis of Activated Carbon Fibers for High-Pressure Hydrogen Storage 69 M. Kunowsky, F. Suarez-Garcia, D. Cazorla-Amoros and A. Linares-Solano High Density Carbon Materials for Hydrogen Storage 77 A. Linares-Solano, M. Jorda-Beneyto, D. Lozano-Castello, F. Suarez-Garcia, and D. Cazorla-Amoros A New Way for Storing Reactive Complex Hydrides on Board of Automobiles 91 Rana Mohtadi, Kyoichi Tange, Tomoya Matsunaga, George Wicks, Kit Heung, and Ray Schumacher Synergistic Effect of LiBH4 + MgH, as a Potential Reversible High Capacity Hydrogen Storage Material 97 T. E. C. Price, D. M. Grant, and G. S. Walker Thermodynamic Analysis of a Novel Hydrogen Storage Material: Nanoporous Silicon 105 Peter J. Schubert and Alan D. Wilks Nanocrystalline Effects on the Reversible Hydrogen Storage Characteristics of Complex Hydrides 111 Michael U. Niemann, Sesha S. Srinivasan, Kimberly McGrath, Ashok Kumar, D. Yogi Goswami, and Elias K. Stefanakos HYDROGEN PRODUCTION Recent Results on Splitting Water with Aluminum Alloys 121 J. M. Woodall, Jeffrey T. Ziebarth, Charles R. Allen, Debra M. Sherman, J. Jeon, and G. Choi Materials Challenges in SYNGAS Production from Hydrocarbons 129 C. M. Chun, F. Hershkowitz, and T. A. Ramanarayanan Encapsulation of Palladium in Porous Wall Hollow Glass Microsp heres 143 L. K. Heung, G. G. Wicks and R. F. Schumacher Alternative Materials to Pd Membranes for Hydrogen Purification 149 Thad M. Adams and Paul S. Korinko X-Ray Photoelectron Investigation of Phosphotungstic Acid as a Proton-Conducting Medium in Solid Polymer Electrolytes 159 Clovis A. Linkous, Stephen L. Rhoden, and Kirk Scammon HYDROGEN DELIVERY Evaluation of the Susceptibility of Simulated Welds in HSLA-100 and HY-100 Steels to Hydrogen Induced Cracking 169 R. E. Ricker, M. R. Stoudt, and D. J. Pitchure Friction and Wear Properties of Materials Used in Hydrogen Service 181 R.A. Erck, G.R. Fenske, and O.L. Eryilmaz Effect of Remote Hydrogen Boundary Conditions on the Near Crack-Tip Hydrogen Concentration Profiles in a Cracked Pipeline: Fracture Toughness Assessment 187 M. Dadfarnia, P. Sofronis, B. P. Sornerday, and I. M. Robertson Non-Destructive Hydrogen Content Sensors 201 Angelique N. Lasseigne, David McColskey, Thomas A. Siewert, Kamalu Koenig, David L. Olson, and Brajendra Mishra Temperature Programed Desorption Using an Off-the-shelf Hybrid Microwave Oven 211 R. Tom Walters, Paul Burket, and George G. Wicks LEAKAGE DETECTION/SAFETY Tritium Aging Effects on the Fracture Toughness Properties of Forged Stainless Steel 223 Michael J. Morgan Explosive Nature of Hydrogen in Partial-Pressure Vacuum 237 Trevor Jones Author Index 243
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.023 | 0.004 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".