Results 51 to 60 of about 10,065 (265)

Bridging Nature and Technology: A Perspective on Role of Machine Learning in Bioinspired Ceramics

Advanced Engineering Materials, EarlyView.
Machine learning (ML) is revolutionizing the development of bioinspired ceramics. This article investigates how ML can be used to design new ceramic materials with exceptional performance, inspired by the structures found in nature. The research highlights how ML can predict material properties, optimize designs, and create advanced models to unlock a ...
Hamidreza Yazdani Sarvestani, Aditi Singh, Behnam Ashrafi   +2 more
wiley   +1 more source

Machine Learning Applied to High Entropy Alloys under Irradiation

Advanced Engineering Materials, EarlyView.
Designing alloys for extreme environments demands fast, trustworthy prediction. This review charts how machine learning—especially machine‐learned interatomic potentials and predictive models based on experiment‐informed datasets—captures the complexity of high‐entropy alloys in extreme environments, predicts phase formation, mechanical properties, and
Amin Esfandiarpour, Sri Tapaswi Nori, Silvia Bonfanti, Mikko Alava, Antoni Wadowski, Wenyi Huo, Łukasz Kurpaska, Michał Pecelerowicz, Jan S. Wróbel   +8 more
wiley   +1 more source

The raising-to-object construction in Puyuma and its implications for a typology of RTO

Glossa, 2018
Recent work has revealed that raising-to-object (RTO) constructions across languages impose two common constraints. Constructions that involve an actual movement of the “raised” phrase (XP) invariably impose a “Subject-only” constraint on XP, whereas ...
Victoria Chen
doaj   +2 more sources

Magnetoactive Metamaterials: A State‐of‐the‐Art Review

Advanced Engineering Materials, EarlyView.
Magnetoactive metamaterials combine magnetoactive composites with architected metastructures to enable contactless, tunable control of mechanical, acoustic, and elastic properties. This review highlights recent advances in their design, fabrication, and applications in soft robotics, biomedical devices, and adaptive structures and outlines future ...
Seyyedmohammad Aghamiri, Ramin Sedaghati
wiley   +1 more source

Probing Early Particle‐Cell Membrane Interactions via Single‐Cell and Single‐Particle Interaction Analysis

Advanced Functional Materials, EarlyView.
The pre‐internalization phase of endocytosis remains poorly characterized at single‐cell levels. Single‐cell pre‐internalization mechanics are investigated using advanced robotic techniques. Cancer cells exhibit biphasic adhesion – rapid initial binding followed by reinforcement – while fibroblasts show gradual engagement.
Houari Bettahar, Christos Tapeinos, Oğulcan Işıtman, Carmine D'Amico, Alexandra Correia, Hélder A. Santos, Quan Zhou   +6 more
wiley   +1 more source

Artificial Intelligence‐Driven Development in Rechargeable Battery Materials: Progress, Challenges, and Future Perspectives

Advanced Functional Materials, EarlyView.
AI is transforming the research paradigm of battery materials and reshaping the entire landscape of battery technology. This comprehensive review summarizes the cutting‐edge applications of AI in the advancement of battery materials, underscores the critical challenges faced in harnessing the full potential of AI, and proposes strategic guidance for ...
Qingyun Hu, Junyuan Lu, Jian Hui, Ziyuan Rao, Yang Ren, Hong Wang   +5 more
wiley   +1 more source

Communicative-Pragmatic Assessment Is Sensitive and Time-Effective in Measuring the Outcome of Aphasia Therapy

Frontiers in Human Neuroscience, 2017
A range of methods in clinical research aim to assess treatment-induced progress in aphasia therapy. Here, we used a crossover randomized controlled design to compare the suitability of utterance-centered and dialogue-sensitive outcome measures in speech-
Benjamin Stahl, Benjamin Stahl, Benjamin Stahl, Benjamin Stahl, Bettina Mohr, Felix R. Dreyer, Guglielmo Lucchese, Friedemann Pulvermüller, Friedemann Pulvermüller   +8 more
doaj   +1 more source

Recycling of Thermoplastics with Machine Learning: A Review

Advanced Functional Materials, EarlyView.
This review shows how machine learning is revolutionizing mechanical, chemical, and biological pathways, overcoming traditional challenges and optimizing sorting, efficiency, and quality. It provides a detailed analysis of effective feature engineering strategies and establishes a forward‐looking research agenda for a truly circular thermoplastic ...
Rodrigo Q. Albuquerque, Florian Stephan, Annalena Pongratz, Christian Brütting, Katharina Krause, Holger Ruckdäschel   +5 more
wiley   +1 more source

Pragmatically Framed Cross-Situational Noun Learning Using Computational Reinforcement Models

Frontiers in Psychology, 2018
Cross-situational learning and social pragmatic theories are prominent mechanisms for learning word meanings (i.e., word-object pairs). In this paper, the role of reinforcement is investigated for early word-learning by an artificial agent.
Shamima Najnin, Bonny Banerjee, Bonny Banerjee   +2 more
doaj   +1 more source

A Unified Model-Based Framework for the Simplified Execution of Static and Dynamic Assertion-Based Verification

IEEE Access, 2020
The improved productivity and reduced time-to-market are essential requirements for the development of modern embedded systems and, therefore, the comprehensive as well as timely design verification is critical.
Muhammad Waseem Anwar, Muhammad Rashid, Farooque Azam, Aamir Naeem, Muhammad Kashif, Wasi Haider Butt   +5 more
doaj   +1 more source