Results 161 to 170 of about 13,467 (261)

Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories

Advanced Energy Materials, EarlyView.
In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen, Zheyu Zhang, Kelvian T. Mularso, Bonghyun Jo, Hyun Suk Jung   +4 more
wiley   +1 more source

Deep learning-based multi-class misbehavior classification in fog-enabled vehicular ad hoc networks. [PDF]

Sci Rep
Kamal H, Haikal AY, Saafan MM.
europepmc   +1 more source

Machine Learning Interatomic Potentials for Energy Materials: Architectures, Training Strategies, and Applications

Advanced Energy Materials, EarlyView.
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park, Saeed Pourasad, Jinhong Mun, Arunkumar Chitteth Rajan, Tae Hyeon Park, Anand Rohit, Mohammad Zafari, Tan‐Lien Pham, Eunjae Jung, Bonseung Koo, Miran Ha, Gi Beom Sim, Hyun Gyu Park, Won Woong Choi, Kwanghyeon Jo, Soohaeng Yoo Willow, David ChangMo Yang, Chang Woo Myung, Geunsik Lee, Kwang S. Kim   +19 more
wiley   +1 more source

Ad hoc bandwidth requests and power conservation in 5G wireless networks with tiny cells. [PDF]

Sci Rep
Rajesh A, Ravikumar CV, Sulthana SF, Kim TH, Shankar T, Srinivasulu A, Altameem T.   +6 more
europepmc   +1 more source

Toward Predictable Nanomedicine: Current Forecasting Frameworks for Nanoparticle–Biology Interactions

Advanced Intelligent Discovery, EarlyView.
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova, Michael Nicholls, Nicola Russo, Gueorgui Mihaylov, Konstantin Nikolic   +4 more
wiley   +1 more source

Authentication mechanism based on distributed blockchain for secure and energy efficient mobile ad-hoc networks. [PDF]

Sci Rep
Sugumaran VR, Dinesh E, Ramya R, Muniyandy E.   +3 more
europepmc   +1 more source

Harnessing Machine Learning to Understand and Design Disordered Solids

Advanced Intelligent Discovery, EarlyView.
This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley   +1 more source

Smartphone-based detection of subtle memory decline in prodromal Alzheimer's disease. [PDF]

NPJ Digit Med
Polk SE, Clark LR, Basche K, Kleineidam L, Glanz W, Butryn M, Perneczky R, Buerger K, Fliessbach K, Laske C, Spottke A, Schneider A, Wiltfang J, Teipel S, Bartels C, Rostamzadeh A, Janowitz D, Rauchmann BS, Kilimann I, Sodenkamp S, Coenjaerts M, Brosseron F, Wagner M, Frommann I, Stark M, Schmid M, Schott BH, Johnson SC, Jessen F, Düzel E, Berron D.   +30 more
europepmc   +1 more source

AI‐Guided Co‐Optimization of Advanced Field‐Effect Transistors: Bridging Material, Device, and Fabrication Design

Advanced Intelligent Discovery, EarlyView.
This article outlines how artificial intelligence could reshape the design of next‐generation transistors as traditional scaling reaches its limits. It discusses emerging roles of machine learning across materials selection, device modeling, and fabrication processes, and highlights hierarchical reinforcement learning as a promising framework for ...
Shoubhanik Nath, Shauryaraj K. Jilkar, Aditya Udgaonkar, Yu (Joe) Lu, Ali Mesbah   +4 more
wiley   +1 more source

Hybrid intelligence-powered secure clustering with trust-optimized routing for next-generation MANET communication. [PDF]

Sci Rep
Anuprathibha T, Maheswari R, Suresh Babu A, Murugesan S.   +3 more
europepmc   +1 more source