Results 81 to 90 of about 6,460,360 (271)

ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals

open access: yesAdvanced Science, EarlyView.
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray   +3 more
wiley   +1 more source

Game Theory and Climate Change

open access: yes, 2018
Parkash Chander argues that we can make progress on the climate-change impasse through incorporating the insights of game theory. Chander offers economic and game-theoretic interpretations of both the Kyoto Protocol and the Paris Agreement and discusses ...
Chander, Parkash
core  

The Mind From Within: Visceral Roots of Human Cognition

open access: yesAdvanced Science, EarlyView.
The physiological activity of visceral organs, such as the heart, the lungs, and the gut, is surprisingly linked to many sophisticated mental operations, such as remembering the past, being aware of ourselves, making choices, and forging social bonds.
Alessandro Monti   +1 more
wiley   +1 more source

Ethical Precision in Nanoscale Brain Interfacing

open access: yesAdvanced Science, EarlyView.
As brain interfaces approach the nanoscale, precision no longer only measures—it knows, predicts, and potentially reshapes the mind. This work argues that traditional ethics fails under such conditions and proposes a shift toward continuous, operation‐based governance using the recovery–discovery framework to track, constrain, and responsibly steer ...
Guilherme Wood
wiley   +1 more source

A Reality Check for Game Theory [PDF]

open access: yes, 2005
There is a tendency for some economists who are less familiar with game theory (GT) to comment that it has never fulfilled its early promise and that it essentially has little to offer as a tool to understand, predict and guide human, social and economic
Butler, D.J.
core  

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

open access: yesAdvanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu   +8 more
wiley   +1 more source

Regulations relating to game land fur animals, and birds in Alaska /

open access: yes, 1933
Title from cover.Vol. for 1933/34-1939/40 issued as Circular no. 11-17; vols. for 1940/41-1942/43 as Circular AGC-18-20.Separately paged supplements accompany some numbers.Mode of access: Internet.Continued by: Regulations relating to game and fur ...
United States. Alaska Game Commission.
core  

Introducing extra operations in refinement [PDF]

open access: yes, 2014
This paper reconsiders refinements which introduce actions on the concrete level which were not present at the abstract level. It considers a range of different basic refinement relations, covering the standard ones for formalisms like Event-B, Z ...
Boiten, Eerke Albert
core   +1 more source

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

Machine Learning‐Assisted KCl‐CaCl2‐LiCl Electrolyte Design for Low‐Temperature, High‐Performance Calcium‐Based Liquid Metal Batteries

open access: yesAdvanced Science, EarlyView.
A machine learning‐assisted framework optimizes the KCl‐CaCl2‐LiCl ternary electrolyte. The optimized 13:35:52 mol% composition enables Ca‐based liquid metal batteries to operate stably at 480 °C, with >99.5% coulombic efficiency, ultralow self‐discharge, and excellent cycling stability, advancing low‐temperature large‐scale energy storage.
Xinglin Zhou   +3 more
wiley   +1 more source

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