Results 91 to 100 of about 5,031,588 (250)
ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals
Advanced 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
Sustainable Materials Design With Multi‐Modal Artificial Intelligence
Advanced 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
Advanced Science, EarlyView.By overcoming the fixed‐path limitations of conventional machine learning, a heterogeneous graph neural network fundamentally reconstructs material data representation. Integrating variable processing sequences with intrinsic elemental features, this framework enables exploratory optimization across high‐dimensional spaces.
Jie Yin +12 more
wiley +1 more source
Entropy, Statistical Evidence, and Scientific Inference: Evidence Functions in Theory and Applications. [PDF]
Entropy (Basel), 2022 Taper ML, Ponciano JM, Dennis B.
europepmc +1 more source
Advanced Science, EarlyView.A portable, sensorized, and controlled dexterous thumb‐enhanced glove helps stroke survivors swipe phones, twist caps, and perform other tasks. It is based on a powerful continuously, segmented origami dual chamber actuator to achieve active thumb CMC and MCP joint assistance and passively extend the IP joint.
Disheng Xie +10 more
wiley +1 more source
Objective Bayesian Estimation of the Probability of Default
Journal of the Royal Statistical Society Series C: Applied Statistics, 2015 SummaryReliable estimation of the probability of default (PD) of a customer is one of the most important tasks in credit risk modelling for banks applying the internal ratings-based approach under the Basel II–III framework. Motivated by the desire to analyse reliably a low default portfolio of non-profit housing companies, we consider PD estimation ...
openaire +1 more source
Advanced Science, EarlyView.Conceptual illustration of a Global Ecosystem Methane Observing System (GEM‐OS) integrating satellites, aircraft, atmospheric networks, and ecosystem measurements to quantify methane emissions from anthropogenic and natural sources. The multi‐scale observing framework improves source attribution, reduces uncertainty in regional methane budgets, and ...
P. Ciais +32 more
wiley +1 more source
Bayesianism and the idea of scientific rationality
, 2010 Bayesianism has been dubbed as the most adequate and successful theory of scientific rationality. Its success mainly lies in its ability to combine two mutually exclusive elements involved in the process of theory selection in science, viz.: the ...
Joven, Jeremiah Joven B.
core
A Robotic Testing Platform for Pipelined Discovery of Resilient Dielectric Elastomer Actuators
Advanced Science, EarlyView.This work introduces a robotic testing platform enabling high‐throughput, multi‐parameter lifetime mapping of linear dielectric elastomer actuators (DEAs). By integrating programmable high‐voltage control and automated electromechanical measurements, the system identifies material and operating conditions that double actuator lifetime.
Ang (Leo) Li +10 more
wiley +1 more source