Artificial Intelligence for Advanced Functional Materials: Progress and Emerging Frontiers
Artificial intelligence is transforming the discovery of functional materials by linking synthesis, characterization, simulation, and design in unified workflows. Advances in machine learning, autonomous experimentation, and foundation models are accelerating innovation across energy, electronics, and biomedicine, while revealing new frontiers for ...
Cristiano Malica +38 more
wiley +1 more source
Online gambling as a public health and regulatory challenge: moving beyond individual responsibility. [PDF]
Izquierdo-Condoy JS +2 more
europepmc +1 more source
Single‐Step Analog In‐Memory Matrix Computation in Three‐Dimensional Circuits
A wooden model illustrates a 3D memristive array designed for single‐step kernel convolutions. It shows how two‐dimensional input data are mapped into the 3D array and convolved in parallel with stored kernels. Color‐coded connection points represent programmed memory‐element values, with each color corresponding to a specific kernel weight.
Alireza Jaberi Rad +8 more
wiley +1 more source
Fabrication shapes soft robot performance, but benchmarking data and selection guidelines remain scarce. We fabricate silicone actuators using two molding techniques and three mold types, characterizing them with cycle testing, microscopy, profilometry, and 3D imaging. Applying our lab‐scale, soft robotics‐specific fabrication evaluation criteria shows
Charlotte M. Folinus +3 more
wiley +1 more source
Policy interventions to improve health through housing: A scoping review. [PDF]
Buffardi AL, Pascall Jones P, Begault L.
europepmc +1 more source
Accelerating Materials Discovery: A Review of Machine Learning in X‐Ray Absorption Spectroscopy
This review systematically details how machine learning transforms X‐ray absorption spectroscopy (XAS) analysis. It covers advanced deep learning architectures for structure‐spectra mapping and inverse tasks, while discussing key challenges like the simulation‐to‐reality gap.
Melaku Lake Tegegne +5 more
wiley +1 more source
Comparative study of the rotating bending fatigue performance of wire arc additively manufactured hollow shafts with and without TIG pre-joining. [PDF]
Nguyen VM +3 more
europepmc +1 more source
An automated, AI‐powered system generates a 3D liver fat volumetric map for precise fat fraction quantification from MRI. By overcoming manual analysis constraints, it provides high‐fidelity spatial characterization of steatosis. This graphical abstract highlights a clinically robust framework that enables efficient, anatomically informed assessment ...
Bincan Deng +9 more
wiley +1 more source
Impaired Remodeling of Tight Junctions Associated with Loss of Enamel Rod Decussation in Tgfbr2<sup>G357W/+</sup> Mice. [PDF]
Duverger O, Baena V, Syed ZA, Lee JS.
europepmc +1 more source
Responsible Artificial Intelligence in Courts: A Four‐Test Framework
ABSTRACT A structured framework for responsible AI applications relating to judicial decision‐making and the adjudicative functions of courts requires the satisfaction of multiple context‐specific safeguards. This article proposes a four‐test framework designed to evaluate whether AI systems used in courts operate in accordance with legal, procedural ...
Kwan Yiu Cheng
wiley +1 more source

