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Record W602540425 · doi:10.1002/9780470483428

Materials Innovations in an Emerging Hydrogen Economy

2008· book· en· W602540425 on OpenAlexaboutno aff

Bibliographic record

VenueCeramic transactions /Ceramic transactions · 2008
Typebook
Languageen
FieldMaterials Science
TopicHydrogen Storage and Materials
Canadian institutionsnot available
Fundersnot available
KeywordsMaterials scienceHydrogen economyHydrogenNanotechnologyEngineering physicsHydrogen fuelEngineeringOrganic chemistry

Abstract

fetched live from OpenAlex

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

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.422
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.002
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0000.002
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0160.002

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.

Opus teacher head0.024
GPT teacher head0.257
Teacher spread0.234 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations15
Published2008
Admission routes1
Has abstractyes

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