Results 131 to 140 of about 242,121 (307)

High‐Throughput Screening and Interpretable Machine Learning for Rational Design of Bimetallic Catalysts for Methane Activation

open access: yesAdvanced Science, EarlyView.
ABSTRACT Methane's efficient catalytic removal is vital for sustainable development. Bimetallic catalysts, though promising for methane activation, pose a design challenge due to their complex compositional space. This work introduces an integrated framework that combines high‐throughput density functional theory (DFT) and interpretable machine ...
Mingzhang Pan   +8 more
wiley   +1 more source

A Critical Survey on Fairness Benefits of Explainable AI [PDF]

open access: yes
In this critical survey, we analyze typical claims on the relationship between explainable AI (XAI) and fairness to disentangle the multidimensional relationship between these two concepts.
Schoeffer, Jakob   +3 more
core   +1 more source

Understanding and Designing Phase Change Materials: Insights From Atom Probe Tomography

open access: yesAdvanced Science, EarlyView.
Atom probe tomography can distinguish metallic, covalent, and metavalent bonds based upon their bond rupture; in particular, the probability to form more than one ion (PME) in laser‐assisted field evaporation. These findings open new avenues in understanding and designing phase change materials (PCMs) since they allow quantification of bonds in solids ...
Jan Köttgen   +3 more
wiley   +1 more source

Data‐Driven Modeling of Composition–Processing–Microstructure Relations for Recycled Aluminum Cast Alloys

open access: yesAdvanced Science, EarlyView.
Interpretable machine learning reveals how composition and processing govern the formation and microstructural burden of Fe‐rich intermetallic compounds in recycled Al–Si–Fe–Mn alloys. By separating morphology selection from morphology‐conditioned burden partitioning, this framework shows that identical Fe contents can yield different intermetallic ...
Jaemin Wang   +2 more
wiley   +1 more source

Fairness and Reciprocity in the Hawk-Dove game [PDF]

open access: yes
We study fairness and reciprocity in a Hawk-Dove game. This allows us to test various models in one framework. We observe a large extent of selfish and rational behavior.
Neugebauer, Tibor   +2 more
core  

AS-684-09 Resolution on Revision to Fairness Board Description and Procedures [PDF]

open access: yes, 2009
Adds phrasing to Fairness Board Description and Procedures, A.9.E: In the event the student grievant fails to appear at the scheduled hearing, the Board may dismiss the case.
Fairness Board Committee,
core  

Physics‐Informed Machine Learning for Sustainable Alloy Design: Toward a Recyclable Unified Q&P Steel

open access: yesAdvanced Science, EarlyView.
A physics‐informed property‐bridging framework links high‐throughput hardness screening to tensile performance in quenching and partitioning steels. By transferring metallurgically guided representations across properties, a single alloy composition is designed to achieve multiple strength grades through heat‐treatment tuning alone, offering a ...
Xiaolu Wei   +7 more
wiley   +1 more source

Fairness, Adverse Selection, and Employment Contracts [PDF]

open access: yes
This paper considers a firm whose potential employees have private information on both their productivity and the extent of their fairness concerns. Fairness is modelled as inequity aversion, where fair-minded workers suffer if their colleagues get more ...
Siemens, Ferdinand von
core   +2 more sources

Do Fairness Opinion Valuations Contain Useful Information? [PDF]

open access: yes
We analyze target firm valuations disclosed in the fairness opinions of negotiated mergers between 1998 and 2005. On average, acquirer advisors exhibit a greater degree of valuation optimism than do target advisors.
Matthew D. Cain, David J. Denis
core  

Neuromorphic Near‐Sensor and In‐Sensor Computing Enabled by Next‐Generation Material‐Based Sensors

open access: yesAdvanced Science, EarlyView.
This Review presents a structural framework that classifies neuromorphic sensing into near‐sensor and in‐sensor architectures, clarifying physical coupling between sensing and computation. The framework connects neural and synaptic device functions with recent advances in optical, mechanical, and chemical sensing, compares energy consumption and ...
Su Yeon Jung   +7 more
wiley   +1 more source

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