Organic Materials of Tomorrow: Horizons of Artificial Intelligence
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 +3 more
wiley +1 more source
Measuring the Hall Effect in Hysteretic Materials
The authors highlight common pitfalls in measuring the Hall effect: in hysteretic magnets, improper data processing can create signals that look exotic but are not real. This Perspective explains the origin of these artifacts and presents practical measurement strategies that help researchers identify reliable Hall responses in complex magnetic ...
Jaime M. Moya +6 more
wiley +1 more source
Resonant Domain Wall Dynamics in a Three‐Dimensional Magnetic Nano Double Helix
3D magnetic nanostructures promise exciting possibilities for magnetization dynamics. However, experimental realizations remain scarce. In nanoprinted cobalt double helices, time‐resolved X‐ray microscopy reveals harmonic domain wall dynamics. Simulations identify the mode and additional higher‐frequency resonances, revealing a rich dynamic landscape ...
Pamela Morales‐Fernández +15 more
wiley +1 more source
Data‐Driven Materials Science for Energy‐Sustainable Applications
Data‐driven approaches powered by artificial intelligence are transforming materials discovery for energy sustainability. This review examines how auto‐generated high‐quality materials databases and domain‐specific language models accelerate research in photovoltaics, thermoelectrics, batteries and magnetic materials. Applications involve extraction of
Jacqueline M. Cole
wiley +1 more source
Implementing a Version Control Platform as an Interactive Educational Framework for Bioinformatics and Artificial Intelligence in Medicine. [PDF]
Ani A, Vaez A.
europepmc +1 more source
Tailoring Symmetry Breaking in Engineered van der Waals Superlattices
We pioneer a scheme to tailor superpotentials in graphene based on intrinsic substrate electronic orders rather than twist angle. The resulting superpotential folds graphene's Dirac cones to either Γ$\Gamma$ or K‐points, leading to distinct symmetry behaviors.
Keda Jin +7 more
wiley +1 more source
Supporting open science practices at multidisciplinary scale. [PDF]
Soper D +2 more
europepmc +1 more source
Soft Yet Tough Tanglemers Through Rapid Photopolymerization for DLP 3D Printing
Soft yet tough tanglemers are produced through low‐initiator free radical photopolymerization and translated to DLP 3D printing. Systematic control over light intensity, initiator loading, and crosslink density reveals processing windows that balance printability, elasticity, toughness, and feature fidelity. ABSTRACT Additive manufacturing of compliant
Yutong Liu +5 more
wiley +1 more source
Correction: Developing an Artificial Intelligence Model for Reading Chest X-rays: Protocol for a Prospective Validation Study. [PDF]
JMIR Publications Editorial Office.
europepmc +1 more source
Metastable Polymers for Circular 3D Printing
3D‐printed polymers are usually permanent and hard to recycle. Here, metastable polymers are designed to fall apart on demand. A chemical trigger unzips the printed material back into its original building blocks within minutes at room temperature.
Johannes Markhart +2 more
wiley +1 more source

