Results 191 to 200 of about 6,745,331 (273)

Polarization Dynamics in Ferroelectrics: Insights Enabled by Machine Learning Molecular Dynamics

Advanced Science, EarlyView.
Machine learning molecular dynamics is presented as a route to capture polarization switching, domain wall kinetics, topological polar textures, and polar mechanical coupling beyond the limits of conventional atomistic methods. This Perspective surveys recent progress and identifies key methodological directions, including long‐range electrostatics ...
Dongyu Bai, Ri He, Junxian Liu, Liangzhi Kou   +3 more
wiley   +1 more source

Safety-Constrained Reinforcement Learning for Energy-Aware Transmission Scheduling in Seismic Wireless Sensor Networks. [PDF]

Sensors (Basel)
Nazamdin I, Reid A.
europepmc   +1 more source

A Versatile‐Designable Framework for Active and Programmable Shape‐Morphing Soft Matter Systems: From Inverse Design to Closed‐Loop Control

Advanced Science, EarlyView.
A versatile framework integrates addressable electrothermal actuation and strain‐constraint mechanisms to construct programmable shape‐morphing soft matter systems. By combining an analytical inverse design strategy for high‐fidelity 3D surface reconstruction with deep learning‐based closed‐loop control, this approach enables zero‐energy shape locking,
Kai Liu, Peiling Xie, Ruitong Song, Banghan Liu, Rui Guo, Jiu‐an Lv   +5 more
wiley   +1 more source

Deep Reinforcement Learning-Based Path-Following Control for Underactuated Autonomous Underwater Vehicles. [PDF]

Sensors (Basel)
Pan X, Huang L, Li L, Wang S.
europepmc   +1 more source

Phase‐Resolved Dual Control of Phenol Photodissociation at the Air–Water Interface From Structure‐Resolved Statistics

Advanced Science, EarlyView.
Faster phenol photolysis at the air–water interface arises from two cooperative factors: a more favorable initial microenvironment for solvent‐side electron stabilization, which lowers CI access, and a more labile hydrogen‐bond network, which more readily reorganizes to stabilize the dark‐state intermediate.
Qiang Yin, Jialing Shi, Jinping Zhao, Chengjun Li, Yongbo Xie, Benkun Tan, Da Wang, Ziyun Wang, Yu Mao   +8 more
wiley   +1 more source

Prototype-Based Classifiers and Vector Quantization on a Quantum Computer-Implementing Integer Arithmetic Oracles for Nearest Prototype Search. [PDF]

Entropy (Basel)
Engelsberger A, Pšeničkova M, Villmann T.   +2 more
europepmc   +1 more source

A Generative Neuro‐Symbolic AI for Protein Sequence Design

Advanced Science, EarlyView.
We introduce EffieDes, a neuro‐symbolic framework coupling deep learning‐based fitness landscape parameterization with exact automated reasoning. Unlike greedy sampling, EffieDes identifies sequences that globally optimize fitness while satisfying intricate design constraints.
Marianne Defresne, Delphine Dessaux, Samuel Buchet, Lucie Barthe, Liza Ammar‐Khodja, Bessam Azizi, Valentin Durante, Gianluca Cioci, Simon de Givry, Alain Roussel, Luis F. Garcia‐Alles, Thomas Schiex, Sophie Barbe   +12 more
wiley   +1 more source

NLoS Mitigation with Propagation Reliability Estimation for Track-Constrained UWB/IMU Fusion Localization. [PDF]

Sensors (Basel)
Tan RZ, Chen JF, He WN.
europepmc   +1 more source

Somatic Evolution of a Germline Antibody Expands its Breadth to Neutralize Early SARS‐CoV‐2 Omicron Variants

Advanced Science, EarlyView.
Engineering of the 148‐germline (148‐GL) antibody reveals a roadmap for overcoming SARS‐CoV‐2 viral escape. By introducing four specific somatic hypermutations, the resulting 148‐M4 variant restores potent neutralization against Omicron BA.1 and BA.4/5.
Huibin Lv, Ziqi Feng, Qi Wen Teo, Chunke Chen, Akshita B. Gopal, Danbi Choi, Timothy J. C. Tan, Yun Sang Tang, Lewis Siu, Armita Nourmohammad, Roberto Bruzzone, Ian A. Wilson, Meng Yuan, Nicholas C. Wu, Chris K. P. Mok   +14 more
wiley   +1 more source

Uncovering simultaneous breakthroughs with a robust measure of disruptiveness. [PDF]

Sci Adv
Kim M, Kojaku S, Ahn YY.
europepmc   +1 more source