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Roadmap on Artificial Intelligence‐Augmented Additive Manufacturing
This Roadmap outlines the transformative role of artificial intelligence‐augmented additive manufacturing, highlighting advances in design, monitoring, and product development. By integrating tools such as generative design, computer vision, digital twins, and closed‐loop control, it presents pathways toward smart, scalable, and autonomous additive ...
Ali Zolfagharian +37 more
wiley +1 more source
Substituent and Ring-Number Effects on the Kinetics of PAH + OH Reactions: A QSAR-DOE Approach with Tunneling Corrections. [PDF]
Parzych C, Baradyn M, Ratkiewicz A.
europepmc +1 more source
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
Optimising environmental factors for maximal lactate productivity in Synechocystis sp. PCC 6803 through a design of experiments approach. [PDF]
Faulkner M, Andrews F, Scrutton NS.
europepmc +1 more source
Research opportunities in photochemical sciences for the DOE Hydrogen Program
Catherine E. Grégoire Padró
openalex +1 more source
Electrochemical Chlorine Shuttle from PVC Waste to Vinyl Ether Acceptors for the Synthesis of Biodegradable Polyester Precursors. [PDF]
Becker S +5 more
europepmc +1 more source
DOE Computer Graphics Forum Panel "Solved/Unsolved".
Jason F. Shepherd
openalex +1 more source
Investigating the Role π‑Rich Solvents Play in the Growth of Cesium Lead Bromide Nanocrystals. [PDF]
Chiang TH +4 more
europepmc +1 more source

