Autonomous AI‐Driven Design for Skin Product Formulations
Advanced Intelligent Discovery, EarlyView.This review presents a comprehensive closed‐loop framework for autonomous skin product formulation design. By integrating artificial intelligence‐driven experiment selection with automated multi‐tiered assays, the approach shifts development from trial‐and‐error to intelligent optimisation.
Yu Zhang +5 more
wiley +1 more source
Optimised Machine Learning and Statistical Modelling for Predicting the Design Strengths of Hardened 3D Printed Concrete. [PDF]
Materials (Basel)Omar MN, Batikha M, Uddin MA.
europepmc +1 more source
Advanced Intelligent Discovery, EarlyView.The hydration behavior of C3S in seawater‐relevant solutions is studied based on experiments, boundary nucleation and growth (BNG) modeling, and machine learning. The main ions included in seawater modify hydration mechanisms, with MgCl2 showing the strongest acceleration effect at the same concentration.
Yanjie Sun +6 more
wiley +1 more source
Study on Multi-Component Modification and Performance Optimization of High-Salt Mine Water Mixed and Sprayed Concrete Based on Response Surface Methodology. [PDF]
Materials (Basel)Jing M, Peng K, Chen T.
europepmc +1 more source
Application of photonics in determining the strength characteristics of composite concretes
, 2017 For the sustainable developments of the construction industry, there is a growing need for reducing theusage of the rapidly depleting natural resources in building concrete structures. Re-utilisation ofconventional wastes such as different grades of polymeric particulates derived from municipal wastesis being explored as a partial replacement of ...
Antony, SJ +3 more
openaire +2 more sources
Advanced Intelligent Discovery, EarlyView.Materials informatics and autonomous experimentation are transforming the discovery of organic molecular crystals. This review presents an integrated molecule–crystal–function–optimization workflow combining machine learning, crystal structure prediction, and Bayesian optimization with robotic platforms.
Takuya Taniguchi +2 more
wiley +1 more source
Sustainable Mix Design of Sugarcane Bagasse Ash Concrete via AutoML-Assisted Multi-Objective Optimization. [PDF]
Materials (Basel)Cui Y, Fei Z, Zhao Y, Yang B, Liang S.
europepmc +1 more source
Advanced Intelligent Discovery, EarlyView.AI‐BioMech is a deep learning framework that predicts the mechanical behavior of biological cellular materials directly from 2D images. By replacing traditional finite element analysis with semantic segmentation, it identifies stress and strain distributions with 99% accuracy, offering a high‐speed, scalable alternative for analyzing complex, aperiodic
Haleema Sadia +2 more
wiley +1 more source
Uniaxial Compression Constitutive Behavior of Mixed Recycled Brick-Aggregate Concrete After Carbonation. [PDF]
Materials (Basel)Zhang Q +5 more
europepmc +1 more source
MolMiner: Toward Controllable, Three‐Dimensional‐Aware, Fragment‐Based Molecular Design
Advanced Intelligent Discovery, EarlyView.MolMiner is a fragment‐based, geometry‐aware, and order‐agnostic generative model for molecular design with strong inductive biases. Using symmetry‐aware fragment assembly, dynamic three‐dimensional geometry, and multi‐property conditioning, MolMiner enables interpretable and controllable molecular generation.
Raul Ortega‐Ochoa +2 more
wiley +1 more source