Results 61 to 70 of about 273,916 (217)

Programmable Nanoscale Motion via Molecular Patterning on DNA Origami

Angewandte Chemie, EarlyView.
DNA origami nanorods enable precise urease placement with tunable coverage and asymmetry, revealing that propulsion depends on a balance of catalytic loading and geometry. Maximum speed occurs at ∼25% end‐coverage and declines as enzyme distribution becomes more symmetrical.
Lars Paffen, Maurik Engelbert van Bevervoorde, Andoni Rodriguez‐Abetxuko, Loai Abdelmohsen, Remco van der Hofstad, Jan C.M. van Hest, Tania Patiño Padial   +6 more
wiley   +2 more sources

Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook

Advanced Intelligent Discovery, EarlyView.
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang, Xinyi Chen, Xu Ye, Yulin Yang, Bin Ai   +4 more
wiley   +1 more source

Mathematical Nature Of Gravity, Which General Relativity Says Is Space-Time: Topology Unites With The Matrix, E=Mc2, Advanced Waves, Wick Rotation, Dark Matter & Higher Dimensions

, 2018
General Relativity says gravity is a push caused by space-time's curvature. Combining General Relativity with E=mc2 results in distances being totally deleted from space-time/gravity by future technology, and in expansion or contraction of the universe as a whole being eliminated.
openaire   +1 more source

A Physics Constrained Machine Learning Pipeline for Young's Modulus Prediction in Multimaterial Hyperelastic Cylinders Guided by Contact Mechanics

Advanced Intelligent Discovery, EarlyView.
A physics‐guided machine learning framework estimates Young's modulus in multilayered multimaterial hyperelastic cylinders using contact mechanics. A semiempirical stiffness law is embedded into a custom neural network, ensuring physically consistent predictions. Validation against experimental and numerical data on C.
Christoforos Rekatsinas, Panagiotis Krokidas, Vasileios Vavourakis, Clara Essmann, George Giannakopoulos   +4 more
wiley   +1 more source

Wearable Metamaterials with Embodied Intelligence for Programmable Control of Human Limbs Tremor

Advanced Intelligent Systems, EarlyView.
Resulting from alternating muscle contractions, tremors can severely limit human ability to perform everyday tasks like walking or talking, due to their disruptive nature. Medication and surgery may not always effectively address tremor control. A wearable device embodying programmable smart metamaterials with adaptable intelligence to meet the demand ...
Braion Barbosa de Moura, Marcela R. Machado, Tanmoy Mukhopadhyay   +2 more
wiley   +1 more source

Polymerase Chain Reaction. Perturbation Theory and Machine Learning Artificial Intelligence‐Experimental Microbiome Analysis: Applications to Ancient DNA and Tree Soil Metagenomics Cases of Study

Advanced Intelligent Systems, EarlyView.
The polymerase chain reaction (PCR).Perturbation Theory and Machine Learning framework integrates perturbation theory and machine learning to classify genetic sequences, distinguishing ancient DNA from modern controls and predicting tree health from soil metagenomic data.
Jose L. Rodriguez, Estefania Ascencio, Jose M. Ageitos, Lucia Feijoo, Shan He, Amirreza Daghighi, Gerardo M. Casanola‐Martin, Cristian R. Munteanu, Santiago Rodriguez Yañez, Alejandro Pazos, Harbil Bediaga, Brenda Durand Ordiales, Raquel Esteban, Ana‐Maria Heres, Jorge Curiel Yuste, Lur Epelde, Bakhtiyor Rasulev, Tomas Gonzalez, Sonia Arrasate, Humberto González‐Diaz   +19 more
wiley   +1 more source

Elastic Fast Marching Learning from Demonstration

Advanced Intelligent Systems, EarlyView.
This article presents Elastic Fast Marching Learning (EFML), a novel approach for learning from demonstration that combines velocity‐based planning with elastic optimization. EFML enables smooth, precise, and adaptable robot trajectories in both position and orientation spaces.
Adrian Prados, Brendan Hertel, Ramon Barber, Reza Azadeh   +3 more
wiley   +1 more source

Topology Optimization for a Rigid‐Compliant Hybrid Constant Force Gripper

Advanced Intelligent Systems, EarlyView.
Constant‐force grippers deliver near‐constant output without sensors, cutting cost and complexity. This study proposes a topology‐optimization framework jointly designing rigid links and material distribution, modeled via link‐state and element‐density variables with constant force as the objective.
Shuhao Xia, Puchen Zhu, Wenkai Lai, Qiye Zhou, Yilun Tong, Xin Ma   +5 more
wiley   +1 more source

Phosphate Removal by ZIF‐8 and Magnetic Fe3O4/ZIF‐8: A Comparative Study of Capacity, Kinetics, and Regeneration

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT This study presents a comparative evaluation of phosphate adsorption on pristine ZIF‐8 and Fe3O4‐doped ZIF‐8 (Fe3O4/ZIF‐8), a hybrid adsorbent combining high surface area with magnetic separability. Structural integrity and composition were confirmed using SEM, XRD, FTIR, and XPS.
Edward Hartman Ernest, Maria Stefani, Immanuel Joseph Ondang, Artik Elisa Angkawijaya, Shella Permatasari Santoso, Hsien‐Yi Hsu, Felycia Edi Soetaredjo, Kuan‐Chen Cheng, Shin‐Ping Lin, Chang‐Wei Hsieh, Suryadi Ismadji   +10 more
wiley   +1 more source

Buoyancy‐Driven Micropolar Fluid Flow Transport in Porous Media With Variable Heat Source and Convective Heating

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT The objective of the current research is to characterize the thermal performance in micropolar fluid flows on a vertically elongated porous sheet in the presence of buoyancy forces. Thus, the motivation of this study is to improve the understanding of buoyancy‐driven micropolar fluid flows through porous media, which are relevant to advanced ...
T. Venu, MD. Shamshuddin, S. O. Salawu
wiley   +1 more source