Results 91 to 100 of about 9,872,649 (283)

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

When does working with AI empower or entrap university faculty? A dualistic passion perspective on job crafting

Frontiers in Psychology
IntroductionGenerative AI is now widely used in teaching, research, and academic writing, leading university faculty to engage in more sustained human-AI collaboration.
Jin Zhu, Yifei Zhang
doaj   +1 more source

Phase Engineering of Nanomaterials (PEN): Evolution, Current Challenges, and Future Opportunities

Advanced Materials, EarlyView.
This review summarizes the synthesis, phase transition, advanced characterization spanning ex situ to in situ and operando techniques, and diverse applications of phase engineering of nanomaterials (PEN). It further outlines key challenges and future opportunities, such as phase stability, architecture control, and artificial intelligence (AI)‐driven ...
Ye Chen, Zhanxi Fan, Jingjie Ge, Qiyuan He, Zhuangchai Lai, Jiawei Liu, Chaoliang Tan, Hua Zhang   +7 more
wiley   +1 more source

A Multifaceted Vision of the Human-AI Collaboration: A Comprehensive Review

IEEE Access
Human-AI collaboration has evolved into a complex, multidimensional paradigm shaped by research in various domains. Key areas such as human-in-the-loop systems, Interactive Machine Learning (IML), Hybrid Intelligence, and Human-Agent Interaction have ...
Maite Puerta-Beldarrain, Oihane Gomez-Carmona, Ruben Sanchez-Corcuera, Diego Casado-Mansilla, Diego Lopez-de-Ipina, Liming Chen   +5 more
doaj   +1 more source

Data‐Driven Materials Science for Energy‐Sustainable Applications

Advanced Materials, EarlyView.
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

A Human–AI Collaborative Framework for Cybersecurity Consulting in Capstone Projects for Small Businesses

Journal of Cybersecurity and Privacy
This paper proposes a Human-AI collaborative framework for cybersecurity consulting tailored to the needs of small businesses, designed and implemented within a Master of Cybersecurity capstone program.
Ka Ching Chan, Raj Gururajan, Fabrizio Carmignani   +2 more
doaj   +1 more source

Artificial Intelligence Meets Micro/Nanorobotics

Advanced Materials, EarlyView.
Artificial intelligence is transforming micro‐ and nanorobots from externally controlled, task‐specific machines into adaptive, autonomous systems. Machine learning, multimodal perception, digital twins, AI‐guided materials and geometry design enhance propulsion, localization, decision‐making, whichaccelerates clinical and environmental applications ...
Fatma M. Yurtsever, Minitha Cherukutty Ramakrishnan, Ian Kuula Ross, Ivan Zelinka, Hamed Shahsavan, Michal Otyepka, Martin Pumera   +6 more
wiley   +1 more source

Effect of AI empathy perception on employees' prosocial behavior: mediating role of warmth and moderating role of AI anthropomorphism

Frontiers in Psychology
With the rapid advancement of AI technology, an increasing number of organizations are introducing AI as formal employees in the workplace. By conducting hypothesis testing on 400 sample data from eight highly digitalized companies in China, the findings
Jinli Xue, Yuhan Liu, Zengfang Ren, Yige Wu   +3 more
doaj   +1 more source

Breaking Bottlenecks in Solid Electrolyte Discovery With Large Artificial Intelligence Models

Advanced Materials, EarlyView.
Large AI models are presented as a route to break key bottlenecks in solid electrolyte discovery by linking materials databases, machine‐learning interatomic potentials, large language models, and autonomous experiments. This perspective highlights how AI can accelerate the identification of solid electrolytes with fast ion transport, stable interfaces,
Eric Jianfeng Cheng, Min Hong, Zhiquan Zeng, Chuanyu Liu, Qian Wang, Melissa Jane Meadowcroft, Vlad Badilita, Carlos Miguel Costa, Senentxu Lanceros‐Méndez, Ying Li, Chenyao Ma, Weibo Gong, Surendra Kumar Martha, Aloysius Soon, Piao Ma, Di Zhang, Teguh Ariyanto, Sudaryanto, Hiroshi Kakinuma, Jie Zhao, Jiayu Peng, Pengfei Ou, Jun Lu, Shin‐ichi Orimo, Hao Li   +24 more
wiley   +1 more source

Metal Compound‐Based Non‐Enzymatic Electrochemical Cholesterol Sensors: Emerging Materials and Mechanistic Insights

Advanced Materials Interfaces, EarlyView.
This review discusses recent progress in metal complex‐based, non‐enzymatic electrochemical sensors for cholesterol detection. We examine metal oxides, metal sulfides, and hybrid nanomaterials, highlighting their catalytic mechanisms and material design strategies.
Longfei (Jack) Yin, Chao‐Tsen (Rora) Chen, Jacopo Giaretta, Thanh‐Qua Nguyen, Hoang‐Phuong Phan, Fariba Dehghani, Syamak Farajikhah   +6 more
wiley   +1 more source