Results 141 to 150 of about 16,374 (240)

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

Introducing a Development Method for Active Perception Sensor Simulations Using Continuous Verification and Validation. [PDF]

Sensors (Basel)
Hofrichter K, Elster L, Linnhoff C, Ruppert T, Peters S.   +4 more
europepmc   +1 more source

Innovations in Gastric Cancer Surgery During Early Minimally Invasive Era and Future Perspectives

Annals of Gastroenterological Surgery, EarlyView.
With continuing revelations in tumor biology and the emergence of artificial intelligence, new horizons for surgical innovation are opening. At the center of this transformative journey stands the innovative surgeon, driven by passion, guided by data, and steadfast in the commitment to patient safety and quality of life.
Reut El‐On, Young‐Woo Kim
wiley   +1 more source

Adaptive multi-sensor point cloud fusion for geometric reconstruction toward digital twin construction based on quality-driven weight optimization. [PDF]

Sci Rep
Meng L, Liu Y, Zhu J.
europepmc   +1 more source

Challenges and enablers in fluidization technology

AIChE Journal, EarlyView.
Abstract Gas–solid fluidized beds provide excellent heat and mass transfer for high‐throughput operations from coating to catalytic conversion and underpin emerging low‐carbon technologies. Yet industrial reliability, scale‐up, and control lag scientific understanding, particularly as finer, stickier, and more variable feedstocks increasingly challenge
J. Ruud van Ommen, Jia Wei Chew
wiley   +1 more source

Digital twin-driven swarm of autonomous underwater vehicles for marine exploration. [PDF]

Commun Eng
Yan J, Zhang T, Guan X, Yang X, Chen C.
europepmc   +1 more source

SigmaFormer: Augmenting transformer encoders with COSMO sigma profiles for pure component property prediction

AIChE Journal, EarlyView.
Abstract Transformer‐based molecular models pretrained on SMILES strings demonstrate strong performance in property prediction. However, these model often lack explicit integration of molecular surface charge distributions that govern intermolecular interactions such as hydrogen bonding and polarity.
Tae Hyun Kim, Silabrata Pahari, Joseph Sang‐Il Kwon   +2 more
wiley   +1 more source

Identification of potent high-affinity secondary nucleation inhibitors of Aβ42 aggregation from an ultra-large chemical library using deep docking. [PDF]

Mol Syst Biol
Brezinova M, Brotzakis ZF, Horne RI, Roy Chowdhury V, Gregory RC, Bian Y, González Díaz A, Gentile F, Vendruscolo M.   +8 more
europepmc   +1 more source

Universally Accurate or Specifically Inadequate? Stress‐Testing General Purpose Machine Learning Interatomic Potentials

Advanced Intelligent Discovery, EarlyView.
We investigate MACE‐MP‐0 and M3GNet, two general‐purpose machine learning potentials, in materials discovery and find that both generally yield reliable predictions. At the same time, both potentials show a bias towards overstabilizing high energy metastable states. We deduce a metric to quantify when these potentials are safe to use.
Konstantin S. Jakob, Karsten Reuter, Johannes T. Margraf   +2 more
wiley   +1 more source

Dynamic community evolution analysis for performance optimization in large scale RFID networks. [PDF]

Sci Rep
Pandian MT, Basha HA, Sardar TH, Hassan SM.   +3 more
europepmc   +1 more source