Results 121 to 130 of about 7,576 (227)

Human‐Guided Bayesian Optimization Enables High‐Throughput Laser Annealing of Mesoporous SiOx Anodes for Lithium‐Ion Batteries

Advanced Science, EarlyView.
An empirical‐aided active learning framework is developed to optimize high‐throughput laser‐induced photothermal annealing of silicon suboxide anodes. By integrating probabilistic machine learning with empirical domain knowledge, this approach achieves optimal electrochemical performance using limited experiments.
Chaeyoung Park, Yeongje Lee, Sunho Jeong, Eungkyu Lee   +3 more
wiley   +1 more source

Multi-criteria decision analysis approach on parametric optimization of abrasive waterjet pocket milling in Ti-6Al-4V alloy. [PDF]

Sci Rep
Naresh Raj KL, Jayavelu S, Kumar MS, Kumar A, Swarna B.   +4 more
europepmc   +1 more source

Hamaker Constants of van der Waals Materials under Clean‐Interface Conditions

Advanced Science, EarlyView.
Clean‐interface adhesion in representative van der Waals materials is quantified by Ultra High Vacuum (UHV) Atomic Force Microscopy (AFM) with in situ cleaning and calibrated probes. Benchmark Hamaker constants for graphene, MoS2, and SiO2 are established, while humidity is shown to reversibly amplify adhesion, explaining much of the scatter in ...
Daniel Gallego‐Fuente, Jaime Colchero, Julio Gomez‐Herrero, Pablo Ares   +3 more
wiley   +1 more source

Reinforcement Learning-Based Control of a 4-Wheel Independent Steering Mobile Robot for Robust Path Tracking in Outdoor Environments. [PDF]

Sensors (Basel)
Lee H, Joe HM.
europepmc   +1 more source

Systemic Nanomechanical Single‐Cell Profiling Reveals Mechanophenotype Transitions Under Therapeutic Perturbation

Advanced Science, EarlyView.
Single‐cell mechanomics demonstrates that pharmacological perturbation changes cytoskeletal and cortical structure, suppressing cancer cell invasiveness. By integrating atomic force microscopy (AFM)‐based cortical measurements with stimulated emission depletion (STED)‐resolved adhesion and cytoskeletal organization, this approach identifies nanoscale ...
Minhee Ku, Jinwon Kwon, Nara Yoon, Hyung Kwon Byeon, Jaemoon Yang   +4 more
wiley   +1 more source

Evaluation of Preclinical Class II Composite Restoration Performed by Dental Students Using Analytic Rubric Parameters. [PDF]

Adv Med Educ Pract
Daghrery A, Pereira GKR, Bin Hassan SA, Abogazalah NN, Alamoudi NA, Alqahtani SA, Alamri MA, Algarni SA, Al Moaleem MM.   +8 more
europepmc   +1 more source

A Phosphorylation‐Induced Micellization Switch in the Low‐Complexity Domain of TDP‐43

Advanced Science, EarlyView.
Phosphorylation of TAR DNA‐binding protein's 43 kDa (TDP‐43) low‐complexity domain by casein kinase 1 delta (CK1δ) acts as a molecular switch, redirecting its self‐assembly from macroscopic phase separation toward finite‐sized, spherical block‐copolymer micelles of ∼30 nm.
Rodrigo F. Dillenburg, Anastasia Lopatina, Hao Ruan, Tom Scheidt, Simone Mosna, Emre Pekbilir, Julia Bieber, Frank Schäfer‐Depoix, Katharina Landfester, Carla Schmidt, Martin M. Möckel, Svenja Morsbach, Friederike Schmid, Dorothee Dormann, Lukas Stelzl, Martin Girard, Edward A. Lemke   +16 more
wiley   +1 more source

Processing of different word list lengths during encoding and retrieval in Broca's area. [PDF]

Front Hum Neurosci
Veliks V, Kolesovs A, Porozovs J, Igonins D.   +3 more
europepmc   +1 more source

Volatile ZrO2 Antiferroelectric Tunnel Junctions for Rapid, Energy‐Efficient Physical Reservoir Computing

Advanced Science, EarlyView.
An antiferroelectric tunnel junction serves as a reservoir computing node, where field‐induced phase transitions and spontaneous ZrO2 relaxation deliver nonlinear fading memory. An In‐Ga‐Zn oxide interlayer enlarges the memory margin and multibit state richness.
Taegyu Kwon, Moonseek Jeong, Su In Hwang, Geun Hyeong Park, Joonyong Kim, Hyojun Choi, Hyeong Seok Choi, Da Hyun Kim, Dong Hee Han, Ju Yong Park, Seungho Baek, Jung Ho Yoon, Dong Hyun Lee, Min Hyuk Park   +13 more
wiley   +1 more source

DMARS_WGO: a deep reinforcement-driven hybrid metaheuristic for intelligent adaptive optimization. [PDF]

Sci Rep
Yousif NR, El-Gendy EM, Haikal AY.
europepmc   +1 more source