Results 71 to 80 of about 1,160,348 (263)
Unveiling the Role of Curvature in Carbon for Improved Energy Release of Ammonium Perchlorate
High‐curvature carbon materials identified via machine learning and simulation can enhance the heat release and combustion performance of ammonium perchlorate. ABSTRACT The catalytic role of carbon curvature in the thermal decomposition of ammonium perchlorate (AP) remains largely unexplored. To address this gap, this study employs machine learning and
Dan Liu +8 more
wiley +1 more source
Generative Models for Crystalline Materials
Generative machine learning models are increasingly used in crystalline materials design. This review outlines major generative approaches and assesses their strengths and limitations. It also examines how generative models can be adapted to practical applications, discusses key experimental considerations for evaluating generated structures, and ...
Houssam Metni +15 more
wiley +1 more source
Transducers convert physical signals into electrical and optical representations, yet each mechanism is bounded by intrinsic trade‐offs across bandwidth, sensitivity, speed, and energy. This review maps transduction mechanisms across physical scale and frequency, showing how heterogeneous integration and multiphysics co‐design transform isolated ...
Aolei Xu +8 more
wiley +1 more source
Investigating retention and workplace implementation of board game learning in employee development
Orientation: Business simulation games for the development of learners take many forms, such as video games and computer games, and are popular choices in academia.
Marius Wait, Mariette Frazer
doaj +1 more source
Games-Based Online Course Design: Prototype of Gamification for Online Tutors [PDF]
With the ubiquity of interactive games in students’ lives and the rise of gamified experiences across the web and mobile applications, online tutors and practitioners of technology enhanced learning have been inspired to incorporate games-based elements.
Ismail, Nashwa, Mathew, Tyler-Jones
core
This review presents recent progress in vision‐augmented wearable interfaces that combine artificial vision, soft wearable sensors, and exoskeletal robots. Inspired by biological visual systems, these technologies enable multimodal perception and intelligent human–machine interaction.
Jihun Lee +4 more
wiley +1 more source
Information Transmission Strategies for Self‐Organized Robotic Aggregation
In this review, we discuss how information transmission influences the neighbor‐based self‐organized aggregation of swarm robots. We focus specifically on local interactions regarding information transfer and categorize previous studies based on the functions of the information exchanged.
Shu Leng +5 more
wiley +1 more source
It is challenging to utilize learning analytic technologies to examine gameplay log data for game-embedded assessment in the field of game-based learning.
Xuanqi Feng, Masanori Yamada
doaj
Teaching Sport Psychology to the XBox Generation: Further evidence for game-based learning [PDF]
Objective: To extend recent research examining the impact of game-based activities on the learning experience of undergraduate psychology students. Design: A counterbalanced repeated measures design was employed to evaluate students’ learning experiences
Manley, A, Patterson, L, Whitaker, L
core
An AI‐Enabled All‐In‐One Visual, Proximity, and Tactile Perception Multimodal Sensor
Targeting integrated multimodal perception of robots, an AI‐enabled all‐in‐one multimodal sensor is proposed. This sensor is capable of perceiving three types of modalities, including vision, proximity, and tactility. By toggling an ultraviolet light and adjusting the camera focus, it switches smoothly between multiple perceptual modalities, enabling ...
Menghao Pu +7 more
wiley +1 more source

