Selective Copper Removal from an Fe-P-Cu Alloy Recovered by Pyrometallurgical Reduction of Spent LiFePO<sub>4</sub> Batteries via Sulfidation-Slag Refining. [PDF]
Yoon JS, Im AJ, Wang JP.
europepmc +1 more source
This article outlines how artificial intelligence could reshape the design of next‐generation transistors as traditional scaling reaches its limits. It discusses emerging roles of machine learning across materials selection, device modeling, and fabrication processes, and highlights hierarchical reinforcement learning as a promising framework for ...
Shoubhanik Nath +4 more
wiley +1 more source
A compact model of Escherichia coli core and biosynthetic metabolism. [PDF]
Corrao M +4 more
europepmc +1 more source
Autonomous AI‐Driven Design for Skin Product Formulations
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
Nitrogen Enables Superior Strength-Ductility Synergy in Ultra-Low Carbon Steel via Copious Interphase Precipitation and Grain Refinement. [PDF]
Zhu Q +13 more
europepmc +1 more source
When Biology Meets Medicine: A Perspective on Foundation Models
Artificial intelligence, and foundation models in particular, are transforming life sciences and medicine. This perspective reviews biological and medical foundation models across scales, highlighting key challenges in data availability, model evaluation, and architectural design.
Kunying Niu +3 more
wiley +1 more source
novoStoic2.0: An integrated framework for pathway synthesis, thermodynamic evaluation, and enzyme selection. [PDF]
Upadhyay V, Anand M, Maranas CD.
europepmc +1 more source
scTIGER2.0 is a deep‐learning framework that infers gene regulatory networks from single‐cell RNA sequencing data. By integrating correlation, pseudotime ordering, deep learning and bootstrap‐based significance testing, it reduces false positives and reveals directional gene interactions.
Nishi Gupta +3 more
wiley +1 more source
Cysteine Pegylation of a Mutant L-asparaginase Affords Enhanced Activity and Thermostability. A Comparative Study Against N-terminal Conjugation. [PDF]
Ferraro RB +11 more
europepmc +1 more source

