Results 181 to 190 of about 2,251,103 (302)

BayesianKAN: A reaction condition optimization framework integrating Kolmogorov-Arnold network and Bayesian optimization. [PDF]

Smart Mol
Wang J, Zhao Y, Yi P, Duan L, Meng Q, Liu Q.   +5 more
europepmc   +1 more source

TSTScope Unifies Single‐Cell Multi‐Omics to Identify Functional T Cell States Predictive of Immunotherapy Response

Advanced Science, EarlyView.
TSTScope is an interpretable AI framework that integrates single‐cell transcriptomes with TCR information through curated gene‐program constraints. By linking receptor context to functional T cell states, it reveals response‐associated tumor‐specific T cell programs in lung cancer immunotherapy cohorts and defines an MPR score associated with ...
Shiwei Cao, Jinyu Cheng, Feng‐ao Wang, Chenxin Yi, Jiajun Chen, Keyue Wang, Lulu Liu, Junwei Liu, Yixue Li   +8 more
wiley   +1 more source

Bayesian Optimization of Catalysis with In-Context Learning. [PDF]

ACS Cent Sci
Caldas Ramos M, Michtavy SS, White AD, Porosoff MD.   +3 more
europepmc   +1 more source

A Robotic Testing Platform for Pipelined Discovery of Resilient Dielectric Elastomer Actuators

Advanced Science, EarlyView.
This work introduces a robotic testing platform enabling high‐throughput, multi‐parameter lifetime mapping of linear dielectric elastomer actuators (DEAs). By integrating programmable high‐voltage control and automated electromechanical measurements, the system identifies material and operating conditions that double actuator lifetime.
Ang (Leo) Li, Alexander Yin, Alexander White, Sahib Sandhu, Anatol Gogoj, Denise Maria de Andrade, Matthew Francoeur, Victor Jimenez‐Santiago, Van Remenar, Codrin Tugui, Mihai Duduta   +10 more
wiley   +1 more source

Explicitly Incorporating Prior Knowledge into Bayesian Optimization for Materials Design. [PDF]

ACS Omega
Aoki H, Miyao T.
europepmc   +1 more source

Machine Learning of Temperature‐Dependent Chemical Kinetics Using Parallel Droplet Microreactors

Advanced Science, EarlyView.
An integrated droplet microfluidics and machine learning framework enables high‐throughput characterization of temperature‐dependent reaction kinetics. Time‐resolved measurements from thousands of droplets train Neural ODE models that accurately predict nonlinear reaction dynamics across diverse thermal environments, bridging large‐scale ...
Mamoru Saita, Yutaka Hori
wiley   +1 more source

Combining High-Throughput Experimentation and Automated Flow for Bayesian Optimization of a Metallaphotoredox Reaction. [PDF]

Angew Chem Int Ed Engl
Desimpel S, Dijkmans J, Medina F, Kuijpers KPL, Lefort L, Cañellas S, Van Geem KM, Dorbec M, Stevens CV.   +8 more
europepmc   +1 more source

Bayesian inference for hedge funds with stable distribution of returns [PDF]

Recently, a body of academic literature has focused on the area of stable distributions and their application potential for improving our understanding of the risk of hedge funds.
Rachev, Svetlozar T., Güner, Biliana, Edelman, Daniel, Fabozzi, Frank J.   +3 more
core  

Perceived Time Shapes Physical Fatigue Accumulation and Its Neural Oscillatory Correlates

Advanced Science, EarlyView.
Can a clock change the course of physical fatigue? By covertly manipulating the clock calibration during repeated isometric contractions, we showed that perceived time shapes fatigue accumulation and frontal oscillatory dynamics. While fatigue accumulation was only reduced when the clock was slowed down, frontal oscillatory dynamics followed perceived ...
Pierre‐Marie Matta, Julien Duclay, Robin Baurès, Andrea Alamia   +3 more
wiley   +1 more source

A study on risk assessment and system development of tunnel lighting facilities based on XGBoost and Bayesian optimization. [PDF]

Sci Rep
Xiao H, Yang W, Tang J, Wang ZL.
europepmc   +1 more source