Results 71 to 80 of about 5,428,738 (277)

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

Perspective: Role of structure prediction in materials discovery and design

APL Materials, 2016
Materials informatics owes much to bioinformatics and the Materials Genome Initiative has been inspired by the Human Genome Project. But there is more to bioinformatics than genomes, and the same is true for materials informatics.
Richard J. Needs, Chris J. Pickard
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

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

Machine Learning-Driven Prediction of Microstructural Evolution and Mechanical Properties in Heat-Treated Steels Using Gradient Boosting

Crystals
Optimizing heat treatment processes requires an understanding of the complex relationships between compositions, processing parameters, microstructures, and properties.
Saurabh Tiwari, Khushbu Dash, Seongjun Heo, Nokeun Park, Nagireddy Gari Subba Reddy   +4 more
doaj   +1 more source

Perspective: Materials informatics across the product lifecycle: Selection, manufacturing, and certification

APL Materials, 2016
The process of taking a new material from invention to deployment can take 20 years or more. Since the announcement of the Materials Genome Initiative in 2011, new attention has been paid to accelerating this timeframe to address key challenges in ...
Gregory J. Mulholland, Sean P. Paradiso
doaj   +1 more source

Strong Coupling in Bulk Nanoplasmonic Nanoplatelet Perovskite Scintillators

Advanced Materials, EarlyView.
A bulk scintillating nanocomposite is engineered from CsPbBr3 nanoplatelets and Ag nanocubes to support exciton–plasmon strong coupling under X‐ray excitation. The resulting hybrid polaritonic states appear directly in radioluminescence, opening a route toward polariton‐enabled scintillator design beyond conventional Purcell enhancement.
Michal Makowski, Dominik Kowal, Anna Pniakowska, Kamil Misztal, Mohanad Saadeldin Eid, Joanna Cybinska, Winicjusz Drozdowski, Benoit Mahler, Christophe Dujardin, Detlef Hommel, Liang Jie Wong, Dennis Schaart, Sergio Brovelli, Muhammad Danang Birowosuto   +13 more
wiley   +1 more source

Material informatics for heat transfer

Journal of Thermal Science and Technology
This review paper summarizes the research for which the author has received the Nukiyama Memorial Award in 2022. The key essence of the research is “materials informatics (MI) for heat transfer” entailing the combination of nanoscale thermal science and ...
Junichiro SHIOMI
doaj   +1 more source

Biohybrid Crawling Robot With Spiral‐Spring Backbone and Inclined Legs for Enhanced Locomotion

Advanced Materials, EarlyView.
We present a biohybrid crawling robot integrating a muscle ring with a flexible skeleton combining two complementary structural elements. The spiral‐spring backbone enables large‐amplitude bending without compromising axial stability, while outward‐inclined legs with unequal front–rear lengths effectively convert deformation into directional strides ...
Tomohiro Morita, Minghao Nie, Shoji Takeuchi   +2 more
wiley   +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