This study provides an introduction to Bayesian optimisation targeted for experimentalists. It explains core concepts, surrogate modelling, and acquisition strategies, and addresses common real‐world challenges such as noise, constraints, mixed variables, scalability, and automation.
Chuan He +2 more
wiley +1 more source
Applications of Pharmacometrics in Antibody-Drug Conjugate Development. [PDF]
Cheng X, Ji S, Lee Y, Dong H.
europepmc +1 more source
Inspired by the multi‐tissue architecture of the human fingertip dermis (A), this work introduces a mixture design using three PolyJet materials (AC/TM/GM) to expand the achievable elastomer property space (B). An inverse design pipeline (i‐Tac) is developed to map target optical/mechanical requirements to optimal material compositions (C), enabling ...
Wen Fan, Dandan Zhang
wiley +1 more source
Simulation Model of Wind and Wave-Induced Doppler Shifts for Multi-Band Radars and Its Application in SAR-Based Ocean Current Inversion. [PDF]
Guan Z, Zhang Y, Chu X.
europepmc +1 more source
This review explores the transformative impact of artificial intelligence on multiscale modeling in materials research. It highlights advancements such as machine learning force fields and graph neural networks, which enhance predictive capabilities while reducing computational costs in various applications.
Artem Maevskiy +2 more
wiley +1 more source
Beyond coverage: why Ayushman Bharat-Pradhan Mantri Jan Arogya Yojana struggles to deliver healthcare in Jammu and Kashmir. [PDF]
Ayub E +4 more
europepmc +1 more source
Collaborative representation and confidence-driven semi-supervised learning for hyperspectral image classification. [PDF]
Chen Y, Lu H, Huang X.
europepmc +1 more source
Joint learning equation of state surfaces with uncertainty-aware physically regularized neural networks. [PDF]
Kuang D +5 more
europepmc +1 more source
Dynamic response analysis of semi-rigid asphalt pavement under combined low-temperature and heavy-load conditions. [PDF]
Gai J +6 more
europepmc +1 more source
A parameter estimation method for modelling proton exchange membrane fuel cell based on enhanced meta evolutionary differential evolution algorithm. [PDF]
Pattanaik V +5 more
europepmc +1 more source

