Results 71 to 80 of about 4,665,191 (253)
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
Soft Skins With Reversible Thickness Morphing: Materials, Mechanisms, and Applications
Evolution of electronic skin (e‐skin) technologies toward adaptive, multifunctional soft skins. Phase I highlights early rigid and discrete sensory interfaces. Phase II shows the transition toward flexible, stretchable, and large‐area e‐skin. Phase III captures the emergence of computational e‐skin.
Oliver Ozioko +2 more
wiley +1 more source
In today's competitive and dynamic business environment, employee retention and engagement are critical challenges, particularly in organizations with a large millennial workforce.
Mahadharu Ashifaati Ashfan +2 more
doaj +1 more source
This study examined how employee-orientated human resource management (EOHRM) is related to Chinese employees’ voice. Drawing on the trust literature, we developed and tested an integrative model that involves the mediating role of trust in management in
X Hu (5160377), Z Jiang (6469682)
core +2 more sources
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
Examining employee voice behavior: A systematic review of voice antecedents
In today’s complex and rapidly changing business environment, managers face increasing challenges in information processing and problem solving. Organizations inevitably need employee ideas and thoughts that speed innovation and enhance organizational ...
Wharton, Jacquelyn D.
core
Tracking employee voice: developing the concept of voice pathways
Different disciplines have studied employee voice as a key component of workplaces. However, they have not tended to look at voice as a journey en route to enhanced (or diminished) employee voice with a start, diversion, delay and combining twists and ...
Mowbray, Paula K. +4 more
core +1 more source
Memristors offer tunable resistance and intrinsic instability, making them promising tunable noise sources. We propose a spiking‐rate‐programmable probabilistic neuron using a Ru/TaOx/Pt memristor, where resistance‐dependent noise enables frequency‐selective encoding.
Do Hoon Kim +8 more
wiley +1 more source
IntroductionThis study investigates the associations among voice behavior, transformational leadership, and psychological capital using a meta-analytic structural equation modeling approach.
Yin-Che Chen, Yen-Ju Chen
doaj +1 more source
Employee Voice Behavior Between Germany and Taiwan
The study is attempting to survey whether the connectedness among leadership, employee voice, and the awareness of equity of employee can eventually be a complement of the achievements of office in German companies, and to scrutinize if the German ...
Yang, Chih-Chun
core

