Results 11 to 20 of about 2,621 (151)

Leveraging Symbolic Artificial Intelligence and Fuzzy Logic for Materials Science: A Review of Methods, Challenges, and Applications to Scarce and Imperfect Experimental Data

Advanced Engineering Materials, EarlyView.
This article explores the transformative potential of symbolic artificial intelligence (AI) in the field of materials science, particularly in leveraging experimental data. The article presents several symbolic AI models and discusses their applications in materials science.
Ahmed Amrani, Mohamed‐Ali Belloum, Laurence Boudet, Valentin Fouillard, Edwin Friedmann, Guillaume Lacharme, Ali Mahmoud, Jean‐Philippe Poli   +7 more
wiley   +1 more source

Accelerated Discovery of Topological Spin Phase Diagrams in CrSBr Magnets Via High‐Throughput Optimization

Advanced Functional Materials, EarlyView.
Here, we develop a high‐throughput algorithm that accelerates the elucidation of phase diagrams of topological spin textures using limited computational resources at high numerical accuracy. Applying this framework to the van der Waals magnet CrSBr, we unveiled a hierarchy of previously unknown topological textures (domain‐wall bimerons, bimeron chains,
Andrew Lyall, Mohammad H. Badarneh, Cristian Bonato, Rebecca Cheung, Elton J. G. Santos   +4 more
wiley   +1 more source

Full‐Field Damage Monitoring in Architected Lattices Using In situ Electrical Impedance Tomography

Advanced Functional Materials, EarlyView.
In situ electrical impedance tomography (EIT) turns 3D‐printed, CNT‐infused architected lattices into full‐field damage‐imaging systems. Tunable Voronoi‐based geometries act as active sensing architectures, enabling conductivity maps to detect early‐stage damage and localise sequential ligament fracture before catastrophic failure.
Akash Deep, Andrea Samore, Alistair McEwan, Andrew McBride, Shanmugam Kumar   +4 more
wiley   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source

Polar Wurtzite NbAlN: A Transition‐Metal Nitride Alloy for Polarization‐Engineered GaN Heterostructures

Advanced Materials, EarlyView.
A novel polar wurtzite alloy, NbAlN, is demonstrated as a transition‐metal‐containing polar barrier for GaN heterostructures. Nb atoms form coherent nanoscale enrichment within the wurtzite lattice without disrupting metal polarity. This study demonstrates that transition metals can be integrated into polar nitrides to enable polarization‐related ...
Atsushi Kobayashi, Souta Kurogi, Tomoya Okuda, Riku Kikuchi, Yusuke Wakamoto, Kouei Kubota, Hikaru Sasaki, Kazuhisa Ikeda, Kanako Shojiki, Takahiro Kawamura, Toru Akiyama, Takehito Seki, Takuya Maeda   +12 more
wiley   +1 more source

Inverse Design of Nanoparticulate Materials

Advanced Materials, EarlyView.
Inverse design shifts nanomaterial development from empirical trial‐and‐error to predictive model‐driven strategies. It can rely on knowledge‐based, data‐based, or hybrid process and property functions. This perspective article provides a practical framework for applying inverse design based on instructive examples. It discusses which modeling approach
Nabi Etienne Traoré, Annika Mauch, Michelle Berthold, Lukas Pflug, Wolfgang Peukert, Nicolas Vogel   +5 more
wiley   +1 more source

Spontaneous Nanopatterning and Strain Relaxation in SiGe Layers Grown by Oxidative Solid‐Phase Epitaxy

Advanced Materials Interfaces, EarlyView.
Thin SiGe buffer layers are grown by oxidative solid‐phase epitaxy, resulting in a nanopatterning of varying Ge concentration across the surface of the sample. The nanopatterning is caused by a hexagonal network of dislocations on the SiGe/Si(111) interface, and is visible by scanning electron microscopy, providing a non‐destructive method for ...
Sophie E. Bierer, Trevor R. Smith, Arezoo Mafi, Sunzhuoran Wang, Chengqian Liao, Vatsalkumar Patel, Andrew P. Knights, Ryan B. Lewis   +7 more
wiley   +1 more source

Surrogate‐Optimized Flow‐Guided Miniature Condenser for Rapid Exhaled Glucose Detection

Advanced Materials Technologies, EarlyView.
A surrogate‐optimized miniature condenser guides humid exhaled flow toward cold surfaces to accelerate exhaled breath condensate collection. By improving vapor access within a compact footprint, the design increases sample yield. This enables post‐collection enrichment and rapid colorimetric glucose detection from dilute exhaled biomarkers within a 5 ...
Yiming Thomas Lu, Yamin Mansur, Sai Peri, Jiangyuan Wan, Amio Pronoy Das Ritwik, Emily L. Johnson, Jingcheng Ma   +6 more
wiley   +1 more source

Programmable Variable‐Stiffness Multilayer Elastomer Composites With High‐Aspect‐Ratio Low‐Melting‐Point Alloy Inclusions

Advanced Materials Technologies, EarlyView.
High‐aspect‐ratio low‐melting‐point alloy inclusions are embedded within multilayer silicone laminates to create thermally programmable stiffness. Sequential activation of alloy‐rich layers produces four distinct mechanical states and reconfigures tendon‐driven actuator trajectories under the same load.
Palpolage Don Shehan Hiroshan Gunawardane, Gyan Edbert Zesiro, Hao Zhou, Gursel Alici, Mu Chiao   +4 more
wiley   +1 more source

Identifying Physical Interactions in Contact‐Based Robot Manipulation for Learning from Demonstration

Advanced Robotics Research, EarlyView.
Robots can learn manipulation tasks from human demonstrations. This work proposes a versatile method to identify the physical interactions that occur in a demonstration, such as sequences of different contacts and interactions with mechanical constraints.
Alex Harm Gert‐Jan Overbeek, Herman van der Kooij, Douwe Dresscher, Mark Vlutters   +3 more
wiley   +1 more source